Kevin Murphy

CoRR, 2013

From big data to big knowledge.

[BibT_eX]

[DOI]

Kevin Murphy

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models.

[BibT_eX]

[DOI]

Shakir Mohamed

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression.

[BibT_eX]

[DOI]

Shakir Mohamed

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

Machine learning - a probabilistic perspective.

[BibT_eX]

Adaptive computation and machine learning series, MIT Press, ISBN: 0262018020, 2012

2011

Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models.

[BibT_eX]

[DOI]

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

Identifying players in broadcast sports videos using conditional random fields.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification.

[BibT_eX]

[DOI]

David Duvenaud

Radhakrishna G. Sampigethaya

Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

2010

Challenges and Solutions for Embedded and Networked Aerospace Software Systems.

[BibT_eX]

[DOI]

Viswa Santhanam

Steven P. Weismuller

Proc. IEEE, 2010

Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials.

[BibT_eX]

[DOI]

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

Causal learning without DAGs.

[BibT_eX]

[DOI]

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Using the forest to see the trees: exploiting context for visual object detection and localization.

[BibT_eX]

[DOI]

Commun. ACM, 2010

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

[BibT_eX]

[DOI]

Bioinform., 2010

Review of "Probabilistic graphical models" by Koller and Friedman.

[BibT_eX]

[DOI]

Artif. Intell., 2010

Variational bounds for mixed-data factor analysis.

[BibT_eX]

[DOI]

Guillaume Bouchard

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

Time-Bounded Sequential Parameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Sequential Model-Based Parameter Optimization: an Experimental Investigation of Automated and Interactive Approaches.

[BibT_eX]

[DOI]

Frank Hutter

Thomas Bartz-Beielstein

Holger H. Hoos

Kevin Leyton-Brown

Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009

A Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2009

Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm.

[BibT_eX]

[DOI]

Ewout van den Berg

Michael P. Friedlander

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Model-based clustering of array CGH data.

[BibT_eX]

[DOI]

Bioinform., 2009

Modeling Discrete Interventional Data using Directed Cyclic Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Group Sparse Priors for Covariance Estimation.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models.

[BibT_eX]

[DOI]

Baback Moghaddam

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

Sparse Gaussian graphical models with unknown block structure.

[BibT_eX]

[DOI]

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

An experimental investigation of model-based parameter optimisation: SPO and beyond.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

LabelMe: A Database and Web-Based Tool for Image Annotation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2008

Structure learning in random fields for heart motion abnormality detection.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Sharing Visual Features for Multiclass and Multiview Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Exact Bayesian structure learning from uncertain interventions.

[BibT_eX]

[DOI]

Daniel Eaton

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

Bayesian structure learning using dynamic programming and MCMC.

[BibT_eX]

[DOI]

Daniel Eaton

Proceedings of the UAI 2007, 2007

Modeling recurrent DNA copy number alterations in array CGH data.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Efficient parameter estimation for RNA secondary structure prediction.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Modeling changing dependency structure in multivariate time series.

[BibT_eX]

[DOI]

Xiang Xuan

Proceedings of the Machine Learning, 2007

A non-myopic approach to visual search.

[BibT_eX]

[DOI]

Julia Vogel

Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

Figure-ground segmentation using a hierarchical conditional random field.

[BibT_eX]

[DOI]

Jordan Reynolds

Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

Learning Graphical Model Structure Using L1-Regularization Paths.

[BibT_eX]

[DOI]

Alexandru Niculescu-Mizil

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Integrating copy number polymorphisms into array CGH analysis using a robust HMM.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Accelerated training of conditional random fields with stochastic gradient methods.

[BibT_eX]

[DOI]

S. V. N. Vishwanathan

Nicol N. Schraudolph

Mark W. Schmidt

Proceedings of the Machine Learning, 2006

Shared Features for Multiclass Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Toward Category-Level Object Recognition, 2006

Object Detection and Localization Using Local and Global Features.

[BibT_eX]

[DOI]

Proceedings of the Toward Category-Level Object Recognition, 2006

2004

Contextual Models for Object Detection Using Boosted Random Fields.

[BibT_eX]

[DOI]

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

Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization.

[BibT_eX]

[DOI]

Georgios Theocharous

Leslie Pack Kaelbling

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes.

[BibT_eX]

[DOI]

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

Context-based vision system for place and object recognition.

[BibT_eX]

[DOI]

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

2002

Dynamic Bayesian Networks for Audio-Visual Speech Recognition.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2002

A coupled HMM for audio-visual speech recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

The Factored Frontier Algorithm for Approximate Inference in DBNs.

[BibT_eX]

[DOI]

Yair Weiss

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Linear-time inference in Hierarchical HMMs.

[BibT_eX]

[DOI]

Mark A. Paskin

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

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Kevin Murphy

Stuart Russell

Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

2000

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.

[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

1999

Loopy Belief Propagation for Approximate Inference: An Empirical Study.

[BibT_eX]

[DOI]

Yair Weiss

Michael I. Jordan

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables.

[BibT_eX]

[DOI]