Yoram Singer

According to our database, Yoram Singer authored at least 133 papers between 1992 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Are All Layers Created Equal?

Chiyuan Zhang, Samy Bengio, Yoram Singer

J. Mach. Learn. Res., 2022

2020

Second Order Optimization Made Practical.

Rohan Anil, Vineet Gupta, Tomer Koren, Kevin Regan, Yoram Singer

CoRR, 2020

Identity Crisis: Memorization and Generalization Under Extreme Overparameterization.

Chiyuan Zhang, Samy Bengio, Moritz Hardt, Michael C. Mozer, Yoram Singer

Proceedings of the 8th International Conference on Learning Representations, 2020

Exponentiated Gradient Meets Gradient Descent.

Udaya Ghai, Elad Hazan, Yoram Singer

Proceedings of the Algorithmic Learning Theory, 2020

Proximity Preserving Binary Code Using Signed Graph-Cut.

Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Convolutional Bipartite Attractor Networks.

Michael L. Iuzzolino, Yoram Singer, Michael C. Mozer

CoRR, 2019

Identity Crisis: Memorization and Generalization under Extreme Overparameterization.

Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer

CoRR, 2019

Memory-Efficient Adaptive Optimization for Large-Scale Learning.

Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer

CoRR, 2019

Memory Efficient Adaptive Optimization.

Rohan Anil, Vineet Gupta, Tomer Koren, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The Well-Tempered Lasso.

Yuanzhi Li, Yoram Singer

Proceedings of the 35th International Conference on Machine Learning, 2018

Shampoo: Preconditioned Stochastic Tensor Optimization.

Vineet Gupta, Tomer Koren, Yoram Singer

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning a neural response metric for retinal prosthesis.

Nishal P. Shah, Sasidhar Madugula, E. J. Chichilnisky, Yoram Singer, Jonathon Shlens

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization.

Vineet Gupta, Tomer Koren, Yoram Singer

CoRR, 2017

Random Features for Compositional Kernels.

Amit Daniely, Roy Frostig, Vineet Gupta, Yoram Singer

CoRR, 2017

Short and Deep: Sketching and Neural Networks.

Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A Stochastic Quasi-Newton Method for Large-Scale Optimization.

Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer

SIAM J. Optim., 2016

LLORMA: Local Low-Rank Matrix Approximation.

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio

J. Mach. Learn. Res., 2016

Sketching and Neural Networks.

Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar

CoRR, 2016

Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity.

Amit Daniely, Roy Frostig, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Train faster, generalize better: Stability of stochastic gradient descent.

Moritz Hardt, Ben Recht, Yoram Singer

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Zero-Shot Learning by Convex Combination of Semantic Embeddings.

Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean

Proceedings of the 2nd International Conference on Learning Representations, 2014

Local collaborative ranking.

Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Matrix Approximation under Local Low-Rank Assumption

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

Proceedings of the 1st International Conference on Learning Representations, 2013

The Maximum Entropy Relaxation Path.

Moshe Dubiner, Matan Gavish, Yoram Singer

CoRR, 2013

Using Web Co-occurrence Statistics for Improving Image Categorization.

Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc V. Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer

CoRR, 2013

Parallel Boosting with Momentum.

Indraneel Mukherjee, Kevin Robert Canini, Rafael M. Frongillo, Yoram Singer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Local Low-Rank Matrix Approximation.

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

Proceedings of the 30th International Conference on Machine Learning, 2013

Efficient Learning of Sparse Ranking Functions.

Mark Stevens, Samy Bengio, Yoram Singer

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2011

Pegasos: primal estimated sub-gradient solver for SVM.

Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter

Math. Program., 2011

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization.

John C. Duchi, Elad Hazan, Yoram Singer

J. Mach. Learn. Res., 2011

Entire Relaxation Path for Maximum Entropy Problems.

Moshe Dubiner, Yoram Singer

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

On the equivalence of weak learnability and linear separability: new relaxations and efficient boosting algorithms.

Shai Shalev-Shwartz, Yoram Singer

Mach. Learn., 2010

Composite Objective Mirror Descent.

John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Ambuj Tewari

Proceedings of the COLT 2010, 2010

2009

Individual sequence prediction using memory-efficient context trees.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

IEEE Trans. Inf. Theory, 2009

Efficient Online and Batch Learning Using Forward Backward Splitting.

John C. Duchi, Yoram Singer

J. Mach. Learn. Res., 2009

Efficient Learning using Forward-Backward Splitting.

John C. Duchi, Yoram Singer

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

Group Sparse Coding.

Samy Bengio, Fernando C. N. Pereira, Yoram Singer, Dennis Strelow

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

Boosting with structural sparsity.

John C. Duchi, Yoram Singer

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

2008

The Forgetron: A Kernel-Based Perceptron on a Budget.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

SIAM J. Comput., 2008

Online Learning of Complex Prediction Problems Using Simultaneous Projections.

Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer

J. Mach. Learn. Res., 2008

Efficient projections onto the <i>l</i>₁-ball for learning in high dimensions.

John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Tushar Chandra

Proceedings of the Machine Learning, 2008

2007

A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment.

Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer, Dan Chazan

IEEE Trans. Speech Audio Process., 2007

A primal-dual perspective of online learning algorithms.

Shai Shalev-Shwartz, Yoram Singer

Mach. Learn., 2007

A Unified Algorithmic Approach for Efficient Online Label Ranking.

Shai Shalev-Shwartz, Yoram Singer

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Online Learning of Multiple Tasks with a Shared Loss.

Ofer Dekel, Philip M. Long, Yoram Singer

J. Mach. Learn. Res., 2007

A Boosting Algorithm for Label Covering in Multilabel Problems.

Yonatan Amit, Ofer Dekel, Yoram Singer

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Pegasos: Primal Estimated sub-GrAdient SOlver for SVM.

Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro

Proceedings of the Machine Learning, 2007

Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification.

Andrea Frome, Yoram Singer, Fei Sha, Jitendra Malik

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Efficient Learning of Label Ranking by Soft Projections onto Polyhedra.

Shai Shalev-Shwartz, Yoram Singer

J. Mach. Learn. Res., 2006

Online Passive-Aggressive Algorithms.

Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer

J. Mach. Learn. Res., 2006

Convex Repeated Games and Fenchel Duality.

Shai Shalev-Shwartz, Yoram Singer

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

Image Retrieval and Classification Using Local Distance Functions.

Andrea Frome, Yoram Singer, Jitendra Malik

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

Support Vector Machines on a Budget.

Ofer Dekel, Yoram Singer

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

Online Classification for Complex Problems Using Simultaneous Projections.

Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer

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

Discriminative kernel-based phoneme sequence recognition.

Joseph Keshet, Shai Shalev-Shwartz, Samy Bengio, Yoram Singer, Dan Chazan

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Online multiclass learning by interclass hypothesis sharing.

Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman

Proceedings of the Machine Learning, 2006

Online Learning Meets Optimization in the Dual.

Shai Shalev-Shwartz, Yoram Singer

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

Online Multitask Learning.

Ofer Dekel, Philip M. Long, Yoram Singer

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005

Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces.

Lavi Shpigelman, Yoram Singer, Rony Paz, Eilon Vaadia

Neural Comput., 2005

Online Ranking by Projecting.

Koby Crammer, Yoram Singer

Neural Comput., 2005

Smooth epsiloon-Insensitive Regression by Loss Symmetrization.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

J. Mach. Learn. Res., 2005

The Forgetron: A Kernel-Based Perceptron on a Fixed Budget.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Data-Driven Online to Batch Conversions.

Ofer Dekel, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Phoneme alignment based on discriminative learning.

Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer, Dan Chazan

Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

A New Perspective on an Old Perceptron Algorithm.

Shai Shalev-Shwartz, Yoram Singer

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

Loss Bounds for Online Category Ranking.

Koby Crammer, Yoram Singer

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004

A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities.

Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer

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

The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

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

An Online Algorithm for Hierarchical Phoneme Classification.

Ofer Dekel, Joseph Keshet, Yoram Singer

Proceedings of the Machine Learning for Multimodal Interaction, 2004

Learning to Align Polyphonic Music.

Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer

Proceedings of the ISMIR 2004, 2004

Online and batch learning of pseudo-metrics.

Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng

Proceedings of the Machine Learning, 2004

Leveraging the margin more carefully.

Nir Krause, Yoram Singer

Proceedings of the Machine Learning, 2004

Large margin hierarchical classification.

Ofer Dekel, Joseph Keshet, Yoram Singer

Proceedings of the Machine Learning, 2004

2003

An Efficient Boosting Algorithm for Combining Preferences.

Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer

J. Mach. Learn. Res., 2003

A Family of Additive Online Algorithms for Category Ranking.

Koby Crammer, Yoram Singer

J. Mach. Learn. Res., 2003

Ultraconservative Online Algorithms for Multiclass Problems.

Koby Crammer, Yoram Singer

J. Mach. Learn. Res., 2003

Protein Family Classification Using Sparse Markov Transducers.

Eleazar Eskin, William Stafford Noble, Yoram Singer

J. Comput. Biol., 2003

Online Passive-Aggressive Algorithms.

Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer

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

Log-Linear Models for Label Ranking.

Ofer Dekel, Christopher D. Manning, Yoram Singer

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

Online Classification on a Budget.

Koby Crammer, Jaz S. Kandola, Yoram Singer

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

Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network.

Kristina Toutanova, Dan Klein, Christopher D. Manning, Yoram Singer

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Smooth e-Intensive Regression by Loss Symmetrization.

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Learning Algorithm for Enclosing Points in Bregmanian Spheres.

Koby Crammer, Yoram Singer

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

On the Learnability and Design of Output Codes for Multiclass Problems.

Koby Crammer, Yoram Singer

Mach. Learn., 2002

Logistic Regression, AdaBoost and Bregman Distances.

Michael Collins, Robert E. Schapire, Yoram Singer

Mach. Learn., 2002

Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences.

Eleazar Eskin, William Stafford Noble, Yoram Singer

J. Comput. Biol., 2002

Robust temporal and spectral modeling for query By melody.

Shai Shalev-Shwartz, Shlomo Dubnov, Nir Friedman, Yoram Singer

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

A new family of online algorithms for category ranking.

Koby Crammer, Yoram Singer

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Spikernels: Embedding Spiking Neurons in Inner-Product Spaces.

Lavi Shpigelman, Yoram Singer, Rony Paz, Eilon Vaadia

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

Multiclass Learning by Probabilistic Embeddings.

Ofer Dekel, Yoram Singer

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

Kernel Design Using Boosting.

Koby Crammer, Joseph Keshet, Yoram Singer

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

Discriminative Binaural Sound Localization.

Ehud Ben-Reuven, Yoram Singer

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

An Efficient PAC Algorithm for Reconstructing a Mixture of Lines.

Sanjoy Dasgupta, Elan Pavlov, Yoram Singer

Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2001

Guest Editor's Introduction.

Yoram Singer

Mach. Learn., 2001

On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines.

Koby Crammer, Yoram Singer

J. Mach. Learn. Res., 2001

Pranking with Ranking.

Koby Crammer, Yoram Singer

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

Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences.

Eleazar Eskin, William Noble Grundy, Yoram Singer

Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

2000

BoosTexter: A Boosting-based System for Text Categorization.

Robert E. Schapire, Yoram Singer

Mach. Learn., 2000

Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers.

Erin L. Allwein, Robert E. Schapire, Yoram Singer

J. Mach. Learn. Res., 2000

Improved Output Coding for Classification Using Continuous Relaxation.

Koby Crammer, Yoram Singer

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

State-based Classification of Finger Gestures from Electromyographic Signals.

Peter Ju, Leslie Pack Kaelbling, Yoram Singer

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Boosting for Document Routing.

Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal

Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

1999

Context-Sensitive Learning Methods for Text Categorization.

William W. Cohen, Yoram Singer

ACM Trans. Inf. Syst., 1999

Improved Boosting Algorithms Using Confidence-rated Predictions.

Robert E. Schapire, Yoram Singer

Mach. Learn., 1999

An Efficient Extension to Mixture Techniques for Prediction and Decision Trees.

Fernando C. N. Pereira, Yoram Singer

Mach. Learn., 1999

Learning to Order Things.

William W. Cohen, Robert E. Schapire, Yoram Singer

J. Artif. Intell. Res., 1999

Leveraged Vector Machines.

Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Unsupervised Models for Named Entity Classification.

Michael Collins, Yoram Singer

Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 1999

Boosting Applied to Tagging and PP Attachment.

Steven Abney, Robert E. Schapire, Yoram Singer

Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 1999

A Simple, Fast, and Effictive Rule Learner.

William W. Cohen, Yoram Singer

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

The Hierarchical Hidden Markov Model: Analysis and Applications.

Shai Fine, Yoram Singer, Naftali Tishby

Mach. Learn., 1998

On the Learnability and Usage of Acyclic Probabilistic Finite Automata.

Dana Ron, Yoram Singer, Naftali Tishby

J. Comput. Syst. Sci., 1998

Boosting and Rocchio Applied to Text Filtering.

Robert E. Schapire, Yoram Singer, Amit Singhal

Proceedings of the SIGIR '98: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1998

Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy.

Yoram Singer, Manfred K. Warmuth

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Efficient Bayesian Parameter Estimation in Large Discrete Domains.

Nir Friedman, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

Adaptive Mixtures of Probabilistic Transducers.

Yoram Singer

Neural Comput., 1997

A Comparison of New and Old Algorithms for a Mixture Estimation Problem.

David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth

Mach. Learn., 1997

Switching Portfolios.

Yoram Singer

Int. J. Neural Syst., 1997

Update Rules for Parameter Estimation in Bayesian Networks.

Eric Bauer, Daphne Koller, Yoram Singer

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Using and Combining Predictors That Specialize.

Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth

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

Shared Context Probabilistic Transducers.

Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer

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

1996

The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length.

Dana Ron, Yoram Singer, Naftali Tishby

Mach. Learn., 1996

Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions.

Yoram Singer, Manfred K. Warmuth

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

On-Line Portfolio Selection Using Multiplicative Updates.

David P. Helmbold, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth

Proceedings of the Machine Learning, 1996

1995

"What has been will be again": a machine learning approach to the analysis of natural language.

Yoram Singer

PhD thesis, 1995

Adaptive Mixture of Probabilistic Transducers.

Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Beyond Word N-Grams.

Fernando Pereira, Yoram Singer, Naftali Tishby

Proceedings of the Third Workshop on Very Large Corpora, 1995

1994

Dynamical encoding of cursive handwriting.

Yoram Singer, Naftali Tishby

Biol. Cybern., 1994

Learning Probabilistic Automata with Variable Memory Length.

Dana Ron, Yoram Singer, Naftali Tishby

Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

Part-of-Speech Tagging using a Variable Memory Markov Model.

Hinrich Schütze, Yoram Singer

Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, 1994

1993

Decoding Cursive Scripts.

Yoram Singer, Naftali Tishby

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

The Power of Amnesia.

Dana Ron, Yoram Singer, Naftali Tishby

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

1992

Learning class probabilities from labeled data.

Yoram Singer, Eyal Yair

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992