Yoav Freund

Truong Q. Nguyen

IEEE Trans. Image Process., 2012

RIFFA: A Reusable Integration Framework for FPGA Accelerators.

[BibT_eX]

[DOI]

Matthew Jacobsen

Ryan Kastner

Proceedings of the 2012 IEEE 20th Annual International Symposium on Field-Programmable Custom Computing Machines, 2012

2011

Occlusion boundary detection using an online learning framework.

[BibT_eX]

[DOI]

Natan Jacobson

Truong Q. Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Learning a board Balanced Scorecard to improve corporate performance.

[BibT_eX]

[DOI]

Germán Creamer

Decis. Support Syst., 2010

Towards automated high-throughput screening of C. elegans on agar

[BibT_eX]

[DOI]

CoRR, 2010

Particle Filtering on the Audio Localization Manifold

[BibT_eX]

[DOI]

Evan Ettinger

CoRR, 2010

An Online Learning-based Framework for Tracking.

[BibT_eX]

[DOI]

Kamalika Chaudhuri

Proceedings of the UAI 2010, 2010

Data winnowing.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems.

[BibT_eX]

[DOI]

Jack Tzeng

Truong Nguyen

Proceedings of the International Conference on Image Processing, 2010

Application of Alternating Decision Trees in Selecting Sparse Linear Solvers.

[BibT_eX]

[DOI]

Proceedings of the Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010

2009

Random projection trees for vector quantization.

[BibT_eX]

[DOI]

Sanjoy Dasgupta

IEEE Trans. Inf. Theory, 2009

A method for Hedging in continuous time

[BibT_eX]

[DOI]

CoRR, 2009

Tracking using explanation-based modeling

[BibT_eX]

[DOI]

Kamalika Chaudhuri

CoRR, 2009

ResBoost: characterizing and predicting catalytic residues in enzymes.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

A Parameter-free Hedging Algorithm.

[BibT_eX]

[DOI]

Kamalika Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Invited talk: Drifting games, boosting and online learning.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Detecting, tracking and interacting with people in a public space.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Multimodal Interfaces, 2009

2008

A new Hedging algorithm and its application to inferring latent random variables

[BibT_eX]

[DOI]

CoRR, 2008

Random projection trees and low dimensional manifolds.

[BibT_eX]

[DOI]

Sanjoy Dasgupta

Proceedings of the 40th Annual ACM Symposium on Theory of Computing, 2008

From Microscopy Images to Models of Cellular Processes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Coordinate-free calibration of an acoustically driven camera pointing system.

[BibT_eX]

[DOI]

Evan Ettinger

Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

2007

Learning the structure of manifolds using random projections.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Segmentation of Nuclei on Confocal Image Stacks Using Performance Based Thresholding.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

A classification-based framework for predicting and analyzing gene regulatory response.

[BibT_eX]

[DOI]

BMC Bioinform., 2006

Identifying metabolic enzymes with multiple types of association evidence.

[BibT_eX]

[DOI]

BMC Bioinform., 2006

2005

Motif Discovery Through Predictive Modeling of Gene Regulation.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2005

2004

Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response.

[BibT_eX]

[DOI]

Proceedings of the Regulatory Genomics, 2004

Predicting genetic regulatory response using classification.

[BibT_eX]

[DOI]

Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

Profile-Based String Kernels for Remote Homology Detection and Motif Extraction.

[BibT_eX]

[DOI]

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

An Efficient Boosting Algorithm for Combining Preferences.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Predicting a binary sequence almost as well as the optimal biased coin.

[BibT_eX]

[DOI]

Inf. Comput., 2003

Unsupervised Improvement of Visual Detectors using Co-Training.

[BibT_eX]

[DOI]

Anat Levin

Paul A. Viola

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Universal Coding of Zipf Distributions.

[BibT_eX]

[DOI]

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

The Nonstochastic Multiarmed Bandit Problem.

[BibT_eX]

[DOI]

SIAM J. Comput., 2002

Drifting Games and Brownian Motion.

[BibT_eX]

[DOI]

Manfred Opper

J. Comput. Syst. Sci., 2002

2001

An Adaptive Version of the Boost by Majority Algorithm.

[BibT_eX]

[DOI]

Mach. Learn., 2001

Why averaging classifiers can protect against overfitting.

[BibT_eX]

[DOI]

Yishay Mansour

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

Gambling in a rigged casino: The adversarial multi-armed bandit problem

[BibT_eX]

[DOI]

Electron. Colloquium Comput. Complex., 2000

Continuous Drifting Games.

[BibT_eX]

Manfred Opper

Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1999

Large Margin Classification Using the Perceptron Algorithm.

[BibT_eX]

[DOI]

Mach. Learn., 1999

The Alternating Decision Tree Learning Algorithm.

[BibT_eX]

Llew Mason

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Estimating a Mixture of Two Product Distributions.

[BibT_eX]

[DOI]

Yishay Mansour

Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999

1998

Self Bounding Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998

1997

Selective Sampling Using the Query by Committee Algorithm.

[BibT_eX]

[DOI]

Mach. Learn., 1997

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 1997

How to use expert advice.

[BibT_eX]

[DOI]

J. ACM, 1997

Efficient Learning of Typical Finite Automata from Random Walks.

[BibT_eX]

[DOI]

Inf. Comput., 1997

Using and Combining Predictors That Specialize.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Annual ACM Symposium on the Theory of Computing, 1997

Boosting the margin: A new explanation for the effectiveness of voting methods.

[BibT_eX]

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Learning Under Persistent Drift.

[BibT_eX]

[DOI]

Yishay Mansour

Proceedings of the Computational Learning Theory, Third European Conference, 1997

1996

On-line Prediction and Conversion Strategies.

[BibT_eX]

[DOI]

Mach. Learn., 1996

Experiments with a New Boosting Algorithm.

[BibT_eX]

Proceedings of the Machine Learning, 1996

Game Theory, On-Line Prediction and Boosting.

[BibT_eX]

[DOI]

Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996

1995

Boosting a Weak Learning Algorithm by Majority

[BibT_eX]

[DOI]

Inf. Comput., September, 1995

Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Symposium on Foundations of Computer Science, 1995

Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Symposium on Foundations of Computer Science, 1995

Learning to Model Sequences Generated by Switching Distributions.

[BibT_eX]

[DOI]

Dana Ron

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1992

Information, Prediction, and Query by Committee.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

An Improved Boosting Algorithm and Its Implications on Learning Complexity.

[BibT_eX]

[DOI]

Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1991

Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks.

[BibT_eX]

[DOI]