Lawrence K. Saul

According to our database1, Lawrence K. Saul authored at least 95 papers between 1994 and 2015.

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Bibliography

2015
Who is .com?: Learning to Parse WHOIS Records.
Proceedings of the 2015 ACM Internet Measurement Conference, 2015

From .academy to .zone: An Analysis of the New TLD Land Rush.
Proceedings of the 2015 ACM Internet Measurement Conference, 2015

2014
Topic Modeling of Hierarchical Corpora.
CoRR, 2014

Knock it off: profiling the online storefronts of counterfeit merchandise.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Search + Seizure: The Effectiveness of Interventions on SEO Campaigns.
Proceedings of the 2014 Internet Measurement Conference, 2014

A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Large Deviation Methods for Approximate Probabilistic Inference
CoRR, 2013

eDoctor: Automatically Diagnosing Abnormal Battery Drain Issues on Smartphones.
Proceedings of the 10th USENIX Symposium on Networked Systems Design and Implementation, 2013

A Variational Approximation for Topic Modeling of Hierarchical Corpora.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Learning to detect malicious URLs.
ACM TIST, 2011

Hidden-Unit Conditional Random Fields.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Nonnegative Matrix Factorization for Semi-supervised Dimensionality Reduction
CoRR, 2011

Analysis and Extension of Arc-Cosine Kernels for Large Margin Classification
CoRR, 2011

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data.
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

Online learning of large margin hidden Markov models for automatic speech recognition.
Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

Topic modeling of freelance job postings to monitor web service abuse.
Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

Judging a site by its content: learning the textual, structural, and visual features of malicious web pages.
Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010
Convex Optimizations for Distance Metric Learning and Pattern Classification [Applications Corner].
IEEE Signal Process. Mag., 2010

Large-Margin Classification in Infinite Neural Networks.
Neural Computation, 2010

Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models.
J. Sel. Topics Signal Processing, 2010

Exploiting Feature Covariance in High-Dimensional Online Learning.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development.
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

Beyond heuristics: learning to classify vulnerabilities and predict exploits.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Distance Metric Learning for Large Margin Nearest Neighbor Classification.
Journal of Machine Learning Research, 2009

Technical perspective - The ultimate pilot program.
Commun. ACM, 2009

Kernel Methods for Deep Learning.
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

Beyond blacklists: learning to detect malicious web sites from suspicious URLs.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

A Probabilistic Topic Model for Unsupervised Learning of Musical Key-Profiles.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

A fast online algorithm for large margin training of continuous density hidden Markov models.
Proceedings of the INTERSPEECH 2009, 2009

Identifying suspicious URLs: an application of large-scale online learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning dictionaries of stable autoregressive models for audio scene analysis.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Matrix updates for perceptron training of continuous density hidden Markov models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models.
Proceedings of the IEEE International Conference on Acoustics, 2009

Large-margin feature adaptation for automatic speech recognition.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008
Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Fast solvers and efficient implementations for distance metric learning.
Proceedings of the Machine Learning, 2008

Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Multiplicative Updates for Nonnegative Quadratic Programming.
Neural Computation, 2007

Multiplicative Updates for L1-Regularized Linear and Logistic Regression.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
IDES: An Internet Distance Estimation Service for Large Networks.
IEEE Journal on Selected Areas in Communications, 2006

Unsupervised Learning of Image Manifolds by Semidefinite Programming.
International Journal of Computer Vision, 2006

Graph Laplacian Regularization for Large-Scale Semidefinite Programming.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Large Margin Hidden Markov Models for Automatic Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Large Margin Gaussian Mixture Modeling for Phonetic Classification and Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding.
Proceedings of the Proceedings, 2006

2005
Distance Metric Learning for Large Margin Nearest Neighbor Classification.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models.
Proceedings of the ISMIR 2005, 2005

Analysis and extension of spectral methods for nonlinear dimensionality reduction.
Proceedings of the Machine Learning, 2005

Visualization of low Dimensional Structure in tonal pitch Space.
Proceedings of the 2005 International Computer Music Conference, 2005

Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Semisupervised alignment of manifolds.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Hierarchical Distributed Representations for Statistical Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Modeling distances in large-scale networks by matrix factorization.
Proceedings of the 4th ACM SIGCOMM Internet Measurement Conference, 2004

Learning a kernel matrix for nonlinear dimensionality reduction.
Proceedings of the Machine Learning, 2004

Multiband statistical learning for f0 estimation in speech.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Nonnegative deconvolution for time of arrival estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Exploratory analysis and visualization of speech and music by locally linear embedding.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Unsupervised Learning of Image Manifolds by Semidefinite Programming.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold.
Journal of Machine Learning Research, 2003

Statistical signal processing with nonnegativity constraints.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Multiplicative Updates for Large Margin Classifiers.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

A Generalized Linear Model for Principal Component Analysis of Binary Data.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Robust numeric recognition in spoken language dialogue.
Speech Communication, 2001

A statistical model for robust integration of narrowband cues in speech.
Computer Speech & Language, 2001

Multiplicative Updates for Classification by Mixture Models.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Global Coordination of Local Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Maximum likelihood and minimum classification error factor analysis for automatic speech recognition.
IEEE Trans. Speech and Audio Processing, 2000

Attractor Dynamics in Feedforward Neural Networks.
Neural Computation, 2000

Markov Processes on Curves.
Machine Learning, 2000

Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones.
Machine Learning, 1999

An Introduction to Variational Methods for Graphical Models.
Machine Learning, 1999

Modeling the rate of speech by Markov processes on curves.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

1998
Large Deviation Methods for Approximate Probabilistic Inference.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Markov Processes on Curves for Automatic Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Inference in Multilayer Networks via Large Deviation Bounds.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Automatic Segmentation of Continuous Trajectories with Invariance to Nonlinear Warpings of Time.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

1997
Aggregate and mixed-order Markov models for statistical language processing
CoRR, 1997

Modeling Acoustic Correlations by Factor Analysis.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Aggregate and mixed-order Markov models for statistical language processing.
Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, 1997

1996
Mean Field Theory for Sigmoid Belief Networks.
J. Artif. Intell. Res., 1996

Mean Field Theory for Sigmoid Belief Networks
CoRR, 1996

A Variational Principle for Model-based Morphing.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Hidden Markov Decision Trees.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Learning Curve Bounds for a Markov Decision Process with Undiscounted Rewards.
Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996

1995
Exploiting Tractable Substructures in Intractable Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Markov Decision Processes in Large State Spaces.
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994
Learning in Boltzmann Trees.
Neural Computation, 1994

Boltzmann Chains and Hidden Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994


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