Suleyman Serdar Kozat

IEEE Trans. Neural Networks Learn. Syst., 2022

Joint optimization of linear and nonlinear models for sequential regression.

[BibT_eX]

[DOI]

Arda Fazla

Mustafa E. Aydin

Digit. Signal Process., 2022

A hybrid framework for sequential data prediction with end-to-end optimization.

[BibT_eX]

[DOI]

Mustafa E. Aydin

Digit. Signal Process., 2022

Context-Aware Ensemble Learning for Time Series.

[BibT_eX]

[DOI]

Arda Fazla

Mustafa Enes Aydin

Orhun Tamyigit

CoRR, 2022

Optimal Tracking in Prediction with Expert Advice.

[BibT_eX]

[DOI]

CoRR, 2022

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

An Optimistic Approach to the Temporal Difference Error in Off-Policy Actor-Critic Algorithms.

[BibT_eX]

[DOI]

Baturay Saglam

Furkan B. Mutlu

Suleyman S. Kozat

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Intrinsic Motivation Based Artificial Goal Generation in On-Policy Continuous Control.

[BibT_eX]

[DOI]

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Unified Intrinsically Motivated Exploration for Off-Policy Learning in Continuous Action Spaces.

[BibT_eX]

[DOI]

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Improving the Performance of Batch-Constrained Reinforcement Learning in Continuous Action Domains via Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Face Inpainting with Pre-trained Image Transformers.

[BibT_eX]

[DOI]

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021

An Efficient and Effective Second-Order Training Algorithm for LSTM-Based Adaptive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators.

[BibT_eX]

[DOI]

Mine Kerpicci

IEEE Trans. Neural Networks Learn. Syst., 2021

Parameter-Free Deterministic Reduction of the Estimation Bias in Continuous Control.

[BibT_eX]

[DOI]

CoRR, 2021

Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs.

[BibT_eX]

[DOI]

Selim Furkan Tekin

Oguzhan Karaahmetoglu

Ismail Balaban

CoRR, 2021

Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

AWD3: Dynamic Reduction of the Estimation Bias.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Energy-Efficient LSTM Networks for Online Learning.

[BibT_eX]

[DOI]

Ali H. Mirza

IEEE Trans. Neural Networks Learn. Syst., 2020

Unsupervised Anomaly Detection With LSTM Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Efficient online learning with improved LSTM neural networks.

[BibT_eX]

[DOI]

Ali H. Mirza

Mine Kerpicci

Digit. Signal Process., 2020

A novel distributed anomaly detection algorithm based on support vector machines.

[BibT_eX]

[DOI]

Digit. Signal Process., 2020

PySAD: A Streaming Anomaly Detection Framework in Python.

[BibT_eX]

[DOI]

CoRR, 2020

Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees.

[BibT_eX]

[DOI]

Oguzhan Karaahmetoglu

CoRR, 2020

Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks.

[BibT_eX]

[DOI]

Oguzhan Karaahmetoglu

Ismail Balaban

CoRR, 2020

A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data.

[BibT_eX]

[DOI]

Safa Onur Sahin

CoRR, 2020

Achieving Online Regression Performance of LSTMs with Simple RNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Improved Named Entity Recognition in Turkish News via Word Lookup Methods.

[BibT_eX]

[DOI]

Ismail Balaban

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization.

[BibT_eX]

[DOI]

Burak Altas

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Online Shortest Path Learning via Convex Optimization.

[BibT_eX]

[DOI]

Burak Altas

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2019

Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Sequential Outlier Detection Based on Incremental Decision Trees.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Nonuniformly Sampled Data Processing Using LSTM Networks.

[BibT_eX]

[DOI]

Safa Onur Sahin

IEEE Trans. Neural Networks Learn. Syst., 2019

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Team-optimal online estimation of dynamic parameters over distributed tree networks.

[BibT_eX]

[DOI]

Signal Process., 2019

Nonlinear regression via incremental decision trees.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

An Efficient EKF Based Algorithm For LSTM-Based Online Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret.

[BibT_eX]

[DOI]

CoRR, 2019

Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures.

[BibT_eX]

[DOI]

CoRR, 2019

Sequential Anomaly Detection Using Nonparametric Density Estimators.

[BibT_eX]

[DOI]

Mine Kerpicci

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

2018

Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs.

[BibT_eX]

[DOI]

Fatih Ozkan

J. Signal Process. Syst., 2018

Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Online Learning Algorithms Based on LSTM Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Boosted adaptive filters.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

Sequential Outlier Detection based on Incremental Decision Trees.

[BibT_eX]

[DOI]

CoRR, 2018

Recurrent neural networks based online learning algorithms for distributed systems.

[BibT_eX]

[DOI]

Safa Onur Sahin

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017

Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks.

[BibT_eX]

[DOI]

Tamer Basar

IEEE Trans. Netw. Sci. Eng., 2017

Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Efficient Implementation of Newton-Raphson Methods for Sequential Data Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Highly efficient nonlinear regression for big data with lexicographical splitting.

[BibT_eX]

[DOI]

Oguzhan Demir

Signal Image Video Process., 2017

Computationally highly efficient mixture of adaptive filters.

[BibT_eX]

[DOI]

Signal Image Video Process., 2017

Highly efficient hierarchical online nonlinear regression using second order methods.

[BibT_eX]

[DOI]

Signal Process., 2017

Adaptive and efficient nonlinear channel equalization for underwater acoustic communication.

[BibT_eX]

[DOI]

Phys. Commun., 2017

An Online Causal Inference Framework for Modeling and Designing Systems Involving User Preferences: A State-Space Approach.

[BibT_eX]

[DOI]

Lemi Baruh

J. Electr. Comput. Eng., 2017

Resource-aware event triggered distributed estimation over adaptive networks.

[BibT_eX]

[DOI]

Ihsan Utlu

Digit. Signal Process., 2017

Team-optimal distributed MMSE estimation in general and tree networks.

[BibT_eX]

[DOI]

Tamer Basar

Digit. Signal Process., 2017

Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis.

[BibT_eX]

[DOI]

Digit. Signal Process., 2017

Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks.

[BibT_eX]

[DOI]

Ali Hassan Mirza

CoRR, 2017

Sequential churn prediction and analysis of cellular network users - A multi-class, multi-label perspective.

[BibT_eX]

[DOI]

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

An efficient bandit algorithm for general weight assignments.

[BibT_eX]

[DOI]

Selami Çiftçi

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Online distributed nonlinear regression via neural networks.

[BibT_eX]

[DOI]

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Neural networks based online learning.

[BibT_eX]

[DOI]

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Novelty detection using soft partitioning and hierarchical models.

[BibT_eX]

[DOI]

Mustafa Simsek

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016

Sequential Prediction Over Hierarchical Structures.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Online Classification via Self-Organizing Space Partitioning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error.

[BibT_eX]

[DOI]

Fatih Ozkan

IEEE Trans. Signal Process., 2016

Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees.

[BibT_eX]

[DOI]

Ilyas Alper Karatepe

IEEE Trans. Big Data, 2016

Online Anomaly Detection With Nested Trees.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Growth optimal investment in discrete-time markets with proportional transaction costs.

[BibT_eX]

[DOI]

Digit. Signal Process., 2016

Network structures and fast distributed MMSE estimation.

[BibT_eX]

[DOI]

CoRR, 2016

A Nearly Optimal Contextual Bandit Algorithm.

[BibT_eX]

[DOI]

Selami Ciftci

CoRR, 2016

Boosted Adaptive Filters.

[BibT_eX]

[DOI]

CoRR, 2016

Online text classification for real life tweet analysis.

[BibT_eX]

[DOI]

Ersin Yar

Lemi Baruh

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Communication efficient distributed estimation.

[BibT_eX]

[DOI]

Ihsan Utlu

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Mathematical model of causal inference in Social Networks.

[BibT_eX]

[DOI]

Mustafa Simsek

Lemi Baruh

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Online adaptive hierarchical space partitioning classifier.

[BibT_eX]

[DOI]

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Mixture of set membership filters approach for big data signal processing.

[BibT_eX]

[DOI]

Muhammed Omer Sayin

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

A tree-based solution to nonlinear regression problem.

[BibT_eX]

[DOI]

Oguzhan Demir

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Big data signal processing using boosted RLS algorithm.

[BibT_eX]

[DOI]

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Nonlinear regression using second order methods.

[BibT_eX]

[DOI]

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Distributed adaptive filtering with reduced communication load.

[BibT_eX]

[DOI]

Ihsan Utlu

Proceedings of the 24th European Signal Processing Conference, 2016

Adaptive hierarchical space partitioning for online classification.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

Online churn detection on high dimensional cellular data using adaptive hierarchical trees.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

Boosted LMS-based piecewise linear adaptive filters.

[BibT_eX]

[DOI]

Iman Marivani

Proceedings of the 24th European Signal Processing Conference, 2016

Piecewise linear regression based on adaptive tree structure using second order methods.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

2015

A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Data Imputation Through the Identification of Local Anomalies.

[BibT_eX]

[DOI]

Ozgun Soner Pelvan

IEEE Trans. Neural Networks Learn. Syst., 2015

A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis.

[BibT_eX]

[DOI]

Yasin Yilmaz

Alper Demir

Signal Process., 2015

Robust least squares methods under bounded data uncertainties.

[BibT_eX]

[DOI]

Digit. Signal Process., 2015

A new robust adaptive algorithm for underwater acoustic channel equalization.

[BibT_eX]

[DOI]

Muhammed Omer Sayin

CoRR, 2015

Universal online prediction via order preserving patterns.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Efficient and distributed tracking of evolving state.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Online anomaly detection with constant false alarm rate.

[BibT_eX]

[DOI]

Fatih Ozkan

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

High dimensional sequential regression on manifolds using adaptive hierarchical trees.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Twice-universal piecewise linear regression via infinite depth context trees.

[BibT_eX]

[DOI]

Tolga Goze

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Scalable Approach for Online Hierarchical Big Data Mining.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Online Nonlinear Classification for High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Optimal and Efficient Distributed Online Learning for Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014

A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

A novel and robust parameter training approach for HMMs under noisy and partial access to states.

[BibT_eX]

[DOI]

Signal Process., 2014

Low Complexity Turbo-Equalization: A Clustering Approach.

[BibT_eX]

[DOI]

Kyeongyeon Kim

Jun Won Choi

IEEE Commun. Lett., 2014

Stochastic Subgradient Algorithms for Strongly Convex Optimization over Distributed Networks.

[BibT_eX]

[DOI]

CoRR, 2014

Online Piecewise Linear Regression via Infinite Depth Context Trees.

[BibT_eX]

[DOI]

CoRR, 2014

Competitive linear MMSE estimation under structured data uncertainties.

[BibT_eX]

[DOI]

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Sequential nonlinear regression via context trees.

[BibT_eX]

[DOI]

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Robust set-membership filtering algorithms against impulsive noise.

[BibT_eX]

[DOI]

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Performance analysis of scalar diffusion strategy over distributed network.

[BibT_eX]

[DOI]

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Robust regularized least squares estimation in the presence of bounded data uncertainties.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Logarithmic regret bound over diffusion based distributed estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Improved convergence performance of adaptive algorithms through logarithmic cost.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Energy consumption forecasting via order preserving pattern matching.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Communication efficient channel estimation over distributed networks.

[BibT_eX]

[DOI]

Tolga Goze

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Comprehensive lower bounds on sequential prediction.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

Piecewise nonlinear regression via decision adaptive trees.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Linear MMSE-Optimal Turbo Equalization Using Context Trees.

[BibT_eX]

[DOI]

Kyeongyeon Kim

IEEE Trans. Signal Process., 2013

Single Bit and Reduced Dimension Diffusion Strategies Over Distributed Networks.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

Tracking the best level set in a level-crossing analog-to-digital converter.

[BibT_eX]

[DOI]

Karen M. Guan

Digit. Signal Process., 2013

Robust estimation in flat fading channels under bounded channel uncertainties.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

Adaptive mixture methods based on Bregman divergences.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

A Comprehensive Approach to Universal Nonlinear Regression Based on Trees.

[BibT_eX]

[DOI]

CoRR, 2013

Robust LS Equalization Methods for MIMO Systems Under Bounded Model Uncertainties.

[BibT_eX]

[DOI]

CoRR, 2013

Growth optimal investment with threshold rebalancing portfolios under transaction costs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Competitive and online piecewise linear classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Robust Turbo Equalization Under Channel Uncertainties.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Steady State and Transient MSE Analysis of Convexly Constrained Mixture Methods.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

A Deterministic Analysis of an Online Convex Mixture of Expert Algorithms

[BibT_eX]

[DOI]

CoRR, 2012

Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties

[BibT_eX]

[DOI]

CoRR, 2012

A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States

[BibT_eX]

[DOI]

CoRR, 2012

A New Analysis of an Adaptive Convex Mixture: A Deterministic Approach

[BibT_eX]

[DOI]

CoRR, 2012

A Novel Robust Approach to Least Squares Problems with Bounded Data Uncertainties

[BibT_eX]

[DOI]

CoRR, 2012

Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach

[BibT_eX]

[DOI]

CoRR, 2012

Growth optimal portfolios in discrete-time markets under transaction costs.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

A novel and incremental classification algorithm.

[BibT_eX]

[DOI]

Ozgun S. Pelvan

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Hidden Markov Model training with side information.

[BibT_eX]

[DOI]

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Optimal Distance Estimation Between Compressed Data Series.

[BibT_eX]

[DOI]

Nikolaos M. Freris

Michail Vlachos

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Optimal portfolios under transaction costs in discrete time markets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Transient analysis of convexly constrained mixture methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Competitive least squares problem with bounded data uncertainties.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Adaptive mixture methods using Bregman divergences.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A novel training method for PHMMs.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Steady state MSE analysis of convexly constrained mixture methods.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011

Transient Analysis of Adaptive Affine Combinations.

[BibT_eX]

[DOI]

Ali H. Sayed

IEEE Trans. Signal Process., 2011

A tree-weighting approach to sequential decision problems with multiplicative loss.

[BibT_eX]

[DOI]

Andrew J. Bean

Signal Process., 2011

Nonlinear turbo equalization using context trees.

[BibT_eX]

[DOI]

Kyeongyeon Kim

Proceedings of the Information Theory and Applications Workshop, 2011

2010

Optimal distance bounds for fast search on compressed time-series query logs.

[BibT_eX]

[DOI]

Michail Vlachos

Philip S. Yu

ACM Trans. Web, 2010

Unbiased model combinations for adaptive filtering.

[BibT_eX]

[DOI]

Ali H. Sayed

IEEE Trans. Signal Process., 2010

Universal randomized switching.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Steady-state MSE performance analysis of mixture approaches to adaptive filtering.

[BibT_eX]

[DOI]

Ali H. Sayed

IEEE Trans. Signal Process., 2010

Competitive linear estimation under model uncertainties.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Competitive Randomized Nonlinear Prediction Under Additive Noise.

[BibT_eX]

[DOI]

Yasin Yilmaz

IEEE Signal Process. Lett., 2010

Adaptive Model Weighting and Transductive Regression for Predicting Best System Combinations.

[BibT_eX]

[DOI]

Ergun Biçici

Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010

A competitive algorithm approach to adaptive filtering.

[BibT_eX]

[DOI]

Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

2009

Competitive prediction under additive noise.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Switching strategies for sequential decision problems with multiplicative loss with application to portfolios.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Embedding and Retrieving Private Metadata in Electrocardiograms.

[BibT_eX]

[DOI]

J. Medical Syst., 2009

An Information Theoretic Analysis of Single Transceiver Passive RFID Networks

[BibT_eX]

[DOI]

Yucel Altug

Mehmet Kivanç Mihçak

CoRR, 2009

Signal processing for underwater acoustic communications.

[BibT_eX]

[DOI]

Jill K. Nelson

IEEE Commun. Mag., 2009

Optimal Distance Bounds on Time-Series Data.

[BibT_eX]

[DOI]

Michail Vlachos

Philip S. Yu

Proceedings of the SIAM International Conference on Data Mining, 2009

An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections.

[BibT_eX]

[DOI]

Yasin Yilmaz

Proceedings of the International Conference on Machine Learning and Applications, 2009

A performance-weighted mixture of LMS filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Comparison of convex combination and affine combination of adaptive filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Universal Switching Linear Least Squares Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter.

[BibT_eX]

[DOI]

Karen M. Guan

EURASIP J. Adv. Signal Process., 2008

Optimizing speech recognition grammars using a measure of similarity between hidden Markov models.

[BibT_eX]

[DOI]

Binit Mohanty

John R. Hershey

Peder A. Olsen

Vaibhava Goel

Proceedings of the IEEE International Conference on Acoustics, 2008

Universal portfolios via context trees.

[BibT_eX]

[DOI]

Andrew J. Bean

Proceedings of the IEEE International Conference on Acoustics, 2008

Universal switching portfolios under transaction costs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Universal Piecewise Linear Prediction Via Context Trees.

[BibT_eX]

[DOI]

Georg Zeitler

IEEE Trans. Signal Process., 2007

Universal Piecewise Linear Regression of Individual Sequences: Lower Bound.

[BibT_eX]

[DOI]

Georg Zeitler

Proceedings of the IEEE International Conference on Acoustics, 2007

Efficient, Low Latency Adaptation for Speech Recognition.

[BibT_eX]

[DOI]

Karthik Visweswariah

Ramesh Gopinath

Proceedings of the IEEE International Conference on Acoustics, 2007

Universal Constant Rebalanced Portfolios with Switching.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Universal Context Tree Least Squares Prediction.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Feature Adaptation Based on Gaussian Posteriors.

[BibT_eX]

[DOI]

Karthik Visweswariah

Ramesh Gopinath

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004

Competitive Signal Processing

[BibT_eX]

[DOI]

PhD thesis, 2004

Universal piecewise linear least squares prediction.

[BibT_eX]

[DOI]

David Luengo

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Robust perceptual image hashing via matrix invariants.

[BibT_eX]

[DOI]

Ramarathnam Venkatesan

Mehmet Kivanç Mihçak

Proceedings of the 2004 International Conference on Image Processing, 2004

Min-max optimal universal prediction with side information.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002

Universal linear least squares prediction: Upper and lower bounds.

[BibT_eX]

[DOI]

Meir Feder

IEEE Trans. Inf. Theory, 2002

Further results in multistage adaptive filtering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

2000

On universal linear prediction of Gaussian data.

[BibT_eX]

[DOI]