Padhraic Smyth

Proceedings of the Scholarly Big Data: AI Perspectives, 2016

2015

Hot Swapping for Online Adaptation of Optimization Hyperparameters.

[BibT_eX]

[DOI]

Kevin Bache

Dennis DeCoste

Proceedings of the 3rd International Conference on Learning Representations, 2015

Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

From Group to Individual Labels Using Deep Features.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Modeling Response Time in Digital Human Communication.

[BibT_eX]

[DOI]

Nicholas Martin Navaroli

Proceedings of the Ninth International Conference on Web and Social Media, 2015

2014

Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker.

[BibT_eX]

[DOI]

Andrew J. Frank

IEEE Trans. Signal Process., 2014

Annealing Paths for the Evaluation of Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Modeling human location data with mixtures of kernel densities.

[BibT_eX]

[DOI]

Moshe Lichman

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Approximate Slice Sampling for Bayesian Posterior Inference.

[BibT_eX]

[DOI]

Anoop Korattikara Balan

Max Welling

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Modeling individual email patterns over time with latent variable models.

[BibT_eX]

[DOI]

Nicholas Navaroli

Mach. Learn., 2013

Probabilistic Models for Query Approximation with Large Sparse Binary Datasets

[BibT_eX]

[DOI]

CoRR, 2013

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013).

[BibT_eX]

[DOI]

Ann E. Nicholson

CoRR, 2013

Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

Recommending patents based on latent topics.

[BibT_eX]

[DOI]

Ralf Krestel

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Text-based measures of document diversity.

[BibT_eX]

[DOI]

Kevin Bache

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Modeling Scientific Impact with Topical Influence Regression.

[BibT_eX]

[DOI]

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Stochastic blockmodeling of relational event dynamics.

[BibT_eX]

[DOI]

Carter T. Butts

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Special issue on best of SIGKDD 2011.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2012

TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2012

Statistical topic models for multi-label document classification.

[BibT_eX]

[DOI]

Mach. Learn., 2012

Statistical Models for Exploring Individual Email Communication Behavior.

[BibT_eX]

[DOI]

Nicholas Navaroli

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models

[BibT_eX]

[DOI]

Stefan Luther

CoRR, 2012

A graphical model representation of the track-oriented multiple hypothesis tracker.

[BibT_eX]

[DOI]

Andrew J. Frank

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Analyzing Text and Social Network Data with Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Predictive modeling of cardiovascular complications in incident hemodialysis patients.

[BibT_eX]

[DOI]

Jasmine Ion Titapiccolo

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Combining Background Knowledge and Learned Topics.

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2011

Revisiting MAP Estimation, Message Passing and Perfect Graphs.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multi-Instance Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Continuous-Time Regression Models for Longitudinal Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Latent Set Models for Two-Mode Network Data.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Dynamic Egocentric Models for Citation Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Learning author-topic models from text corpora.

[BibT_eX]

[DOI]

Michal Rosen-Zvi

Thomas L. Griffiths

ACM Trans. Inf. Syst., 2010

A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data.

[BibT_eX]

[DOI]

Hal S. Stern

IEEE Trans. Medical Imaging, 2010

Learning with Blocks: Composite Likelihood and Contrastive Divergence.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Technical perspective - Creativity helps influence prediction precision.

[BibT_eX]

[DOI]

Charles Elkan

Commun. ACM, 2010

Estimating replicate time shifts using Gaussian process regression.

[BibT_eX]

[DOI]

Bioinform., 2010

Learning concept graphs from text with stick-breaking priors.

[BibT_eX]

[DOI]

America Chambers

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Modeling relational events via latent classes.

[BibT_eX]

[DOI]

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

Particle Filtered MCMC-MLE with Connections to Contrastive Divergence.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Distributed Algorithms for Topic Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2009

Bayesian detection of non-sinusoidal periodic patterns in circadian expression data.

[BibT_eX]

[DOI]

Bioinform., 2009

On Smoothing and Inference for Topic Models.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Particle-based Variational Inference for Continuous Systems.

[BibT_eX]

[DOI]

Andrew J. Frank

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

2008

Text Modeling using Unsupervised Topic Models and Concept Hierarchies

[BibT_eX]

[DOI]

CoRR, 2008

Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning.

[BibT_eX]

[DOI]

America Holloway

Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

Asynchronous Distributed Learning of Topic Models.

[BibT_eX]

[DOI]

Arthur U. Asuncion

Max Welling

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Fast collapsed gibbs sampling for latent dirichlet allocation.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery from Sensor Data, 2008

Combining concept hierarchies and statistical topic models.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Learning to detect events with Markov-modulated poisson processes.

[BibT_eX]

[DOI]

Alexander T. Ihler

ACM Trans. Knowl. Discov. Data, 2007

KDD Cup and workshop 2007.

[BibT_eX]

[DOI]

SIGKDD Explor., 2007

Distributed Inference for Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

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

Subject metadata enrichment using statistical topic models.

[BibT_eX]

[DOI]

Kat Hagedorn

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

Infinite mixtures of trees.

[BibT_eX]

[DOI]

Sergey Kirshner

Proceedings of the Machine Learning, 2007

2006

Imaging phenotypes and genotypes in schizophrenia.

[BibT_eX]

[DOI]

Neuroinformatics, 2006

Segmental Hidden Markov Models with Random Effects for Waveform Modeling.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation.

[BibT_eX]

[DOI]

Proceedings of the UAI '06, 2006

Hierarchical Dirichlet Processes with Random Effects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models.

[BibT_eX]

[DOI]

Alexander T. Ihler

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data.

[BibT_eX]

[DOI]

Hal S. Stern

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Statistical entity-topic models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Adaptive event detection with time-varying poisson processes.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Analyzing Entities and Topics in News Articles Using Statistical Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Intelligence and Security Informatics, 2006

Data-Driven Discovery Using Probabilistic Hidden Variable Models.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

Prediction and ranking algorithms for event-based network data.

[BibT_eX]

[DOI]

Joshua O'Madadhain

SIGKDD Explor., 2005

A Spectral Clustering Approach To Finding Communities in Graph.

[BibT_eX]

[DOI]

Scott White

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Parametric Response Surface Models for Analysis of Multi-site fMRI Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

EventRank: a framework for ranking time-varying networks.

[BibT_eX]

[DOI]

Joshua O'Madadhain

Proceedings of the 3rd international workshop on Link discovery, 2005

2004

Identification of hair cycle-associated genes from time-course gene expression profile data by using replicate variance.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2004

The Author-Topic Model for Authors and Documents.

[BibT_eX]

[DOI]

Proceedings of the UAI '04, 2004

Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series.

[BibT_eX]

[DOI]

Sergey Kirshner

Andrew Robertson

Proceedings of the UAI '04, 2004

Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models.

[BibT_eX]

[DOI]

Stefan Luther

Proceedings of the UAI '04, 2004

Joint Probabilistic Curve Clustering and Alignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Probabilistic author-topic models for information discovery.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2003

Analysis of Pattern Discovery in Sequences Using a Bayes Error Framework.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2003

Model-Based Clustering and Visualization of Navigation Patterns on a Web Site.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2003

Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

Approximate Query Answering by Model Averaging.

[BibT_eX]

[DOI]

Proceedings of the Third SIAM International Conference on Data Mining, 2003

Gene Expression Clustering with Functional Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Algorithms for estimating relative importance in networks.

[BibT_eX]

[DOI]

Scott White

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Translation-invariant mixture models for curve clustering.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Unsupervised Learning with Permuted Data.

[BibT_eX]

[DOI]

Sergey Kirshner

Sridevi Parise

Proceedings of the Machine Learning, 2003

Clustering Markov States into Equivalence Classes using SVD and Heuristic Search Algorithms.

[BibT_eX]

[DOI]

Sridevi Parise

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Curve Clustering with Random Effects Regression Mixtures.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Modeling the Internet and the Web: Probabilistic Method and Algorithms

[BibT_eX]

[DOI]

Pierre Baldi

Paolo Frasconi

John Wiley, ISBN: 0-470-84906-1, 2003

2002

Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data.

[BibT_eX]

[DOI]

Geoffrey J. McLachlan

Christine E. McLaren

Mach. Learn., 2002

Data-driven evolution of data mining algorithms.

[BibT_eX]

[DOI]

Daryl Pregibon

Christos Faloutsos

Commun. ACM, 2002

Business applications of data mining.

[BibT_eX]

[DOI]

Commun. ACM, 2002

Learning with Mixture Models: Concepts and Applications.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Learning to Classify Galaxy Shapes Using the EM Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Pattern discovery in sequences under a Markov assumption.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Probabilistic Model-Based Detection of Bent-Double Radio Galaxies.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

The distribution of loop lengths in graphical models for turbo decoding.

[BibT_eX]

[DOI]

David Eppstein

IEEE Trans. Inf. Theory, 2001

Bayesian Predictive Profiles With Applications to Retail Transaction Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Probabilistic query models for transaction data.

[BibT_eX]

[DOI]

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction.

[BibT_eX]

[DOI]

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Breaking out of the Black-Box: Research Challenges in Data Mining.

[BibT_eX]

[DOI]

Proceedings of the 2001 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2001

Principles of Data Mining

[BibT_eX]

[DOI]

David J. Hand

MIT Press, ISBN: 9780262332521, 2001

2000

The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation.

[BibT_eX]

[DOI]

SIGKDD Explor., 2000

Model selection for probabilistic clustering using cross-validated likelihood.

[BibT_eX]

[DOI]

Stat. Comput., 2000

Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets.

[BibT_eX]

[DOI]

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Model Complexity, Goodness of Fit and Diminishing Returns.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Towards scalable support vector machines using squashing.

[BibT_eX]

[DOI]

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Deformable Markov model templates for time-series pattern matching.

[BibT_eX]

[DOI]

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Visualization of navigation patterns on a Web site using model-based clustering.

[BibT_eX]

[DOI]

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

A general probabilistic framework for clustering individuals and objects.

[BibT_eX]

[DOI]

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Approximate Query Answering with Frequent Sets and Maximum Entropy.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

1999

Discussion on the paper by Friedman and Fisher.

[BibT_eX]

[DOI]

Stat. Comput., 1999

Linearly Combining Density Estimators via Stacking.

[BibT_eX]

[DOI]

David H. Wolpert

Mach. Learn., 1999

The Distribution of Cycle Lengths in Graphical Models for Iterative Decoding

[BibT_eX]

[DOI]

David Eppstein

CoRR, 1999

Discovering Chinese Words from Unsegmented Text (poster abstract).

[BibT_eX]

[DOI]

Wanda Pratt

Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999

Prediction with Local Patterns using Cross-Entropy.

[BibT_eX]

[DOI]

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Trajectory Clustering with Mixtures of Regression Models.

[BibT_eX]

[DOI]

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Hierarchical Models for Screening of Iron Deficiency Anemia.

[BibT_eX]

Christine E. McLaren

Geoffrey J. McLachlan

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

Joint probabilistic clustering of multivariate and sequential data.

[BibT_eX]

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Learning to Recognize Volcanoes on Venus.

[BibT_eX]

[DOI]

Mach. Learn., 1998

Rule Discovery from Time Series.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997

Applying classification algorithms in practice.

[BibT_eX]

[DOI]

Carla E. Brodley

Stat. Comput., 1997

Belief networks, hidden Markov models, and Markov random fields: A unifying view.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 1997

Probabilistic Independence Networks for Hidden Markov Probability Models.

[BibT_eX]

[DOI]

David Heckerman

Michael I. Jordan

Neural Comput., 1997

Learning with Probabilistic Representations.

[BibT_eX]

[DOI]

Pat Langley

Gregory M. Provan

Mach. Learn., 1997

Statistical Themes and Lessons for Data Mining.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 1997

Stacked Density Estimation.

[BibT_eX]

[DOI]

David H. Wolpert

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Anytime Exploratory Data Analysis for Massive Data Sets.

[BibT_eX]

[DOI]

David H. Wolpert

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Detecting Atmospheric Regimes Using Cross-Validated Clustering.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

A Probabilistic Approach to Fast Pattern Matching in Time Series Databases.

[BibT_eX]

[DOI]

Eamonn J. Keogh

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Differential Diagnosis of Dementia: A Knowledge Discovery and Data Mining (KDD) Approach.

[BibT_eX]

[DOI]

Subramani Mani

William Rodman Shankle

Michael J. Pazzani

Malcolm B. Dick

Proceedings of the AMIA 1997, 1997

Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods.

[BibT_eX]

[DOI]

William Rodman Shankle

Subramani Mani

Michael J. Pazzani

Proceedings of the Artificial Intelligence Medicine, 1997

1996

Bounds on the mean classification error rate of multiple experts.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 1996

Statistical Inference and Data Mining.

[BibT_eX]

[DOI]

Commun. ACM, 1996

The KDD Process for Extracting Useful Knowledge from Volumes of Data.

[BibT_eX]

[DOI]

Commun. ACM, 1996

From Data Mining to Knowledge Discovery in Databases.

[BibT_eX]

[DOI]

AI Mag., 1996

Clustering Sequences with Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Clustering Using Monte Carlo Cross-Validation.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Knowledge Discovery and Data Mining: Towards a Unifying Framework.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Modeling Subjective Uncertainty in Image Annotation.

[BibT_eX]

Proceedings of the Advances in Knowledge Discovery and Data Mining., 1996

From Data Mining to Knowledge Discovery: An Overview.

[BibT_eX]

Proceedings of the Advances in Knowledge Discovery and Data Mining., 1996

1995

Automated Analysis and Exploration of Image Databases: Results, Progress, and Challenges.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 1995

Retrofitting Decision Tree Classifiers Using Kernel Density Estimation.

[BibT_eX]

[DOI]

Alexander G. Gray

Proceedings of the Machine Learning, 1995

1994

Discrete recurrent neural networks for grammatical inference.

[BibT_eX]

[DOI]

Zheng Zeng

IEEE Trans. Neural Networks, 1994

Hidden Markov models for fault detection in dynamic system.

[BibT_eX]

[DOI]

Pattern Recognit., 1994

Markov monitoring with unknown states.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 1994

KDD-93: Progress and Challenges in Knowledge Discovery in Databases.

[BibT_eX]

[DOI]

Christopher J. Matheus

Ramasamy Uthurusamy

AI Mag., 1994

Inferring Ground Truth from Subjective Labelling of Venus Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth.

[BibT_eX]

Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

The Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Digital Libraries: Current Issues, 1994

Automating the hunt for volcanoes on Venus.

[BibT_eX]

[DOI]

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

1993

On loss functions which minimize to conditional expected values and posterior proba- bilities.

[BibT_eX]

[DOI]

John W. Miller

IEEE Trans. Inf. Theory, 1993

Learning Finite State Machines With Self-Clustering Recurrent Networks.

[BibT_eX]

[DOI]

Zheng Zeng

Neural Comput., 1993

Probabilistic Anomaly Detection in Dynamic Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Self-clustering recurrent networks.

[BibT_eX]

[DOI]

Zheng Zeng

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

An Information Theoretic Approach to Rule Induction from Databases.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 1992

Rule-Based Neural Networks for Classification and Probability Estimation.

[BibT_eX]

[DOI]

Neural Comput., 1992

Detecting Novel Classes with Applications to Fault Diagnosis.

[BibT_eX]

[DOI]

Jeff Mellstrom

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991

Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models.

[BibT_eX]

[DOI]

Jeff Mellstrom

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Rule Induction Using Information Theory.

[BibT_eX]

Proceedings of the Knowledge Discovery in Databases, 1991

1990

On Stochastic Complexity and Admissible Models for Neural Network Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

A Hybrid Rule-Based/Bayesian Classifier.

[BibT_eX]

Charles M. Higgins

Proceedings of the 9th European Conference on Artificial Intelligence, 1990

1989

The Induction of Probabilistic Rule Sets - The Itrule Algorithm.

[BibT_eX]

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Decision tree design from a communication theory standpoint.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1988

An Information Theoretic Approach to Rule-Based Connectionist Expert Systems.

[BibT_eX]

[DOI]

John W. Miller

Proceedings of the Advances in Neural Information Processing Systems 1, 1988

Information-Theoretic Rule Induction.

[BibT_eX]