Object Pose Detection in Range Scan Data Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller Computer Science Department Stanford University, CA 94305 {jimkr, drago, hcpang, koller}@cs.stanford.edu

Source URL: ai.stanford.edu

Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data Dragomir Anguelov Ben Taskar† Vassil Chatalbashev Daphne Koller Dinkar Gupta Geremy Heitz Andrew Ng Computer Science Department † EECS

Source URL: ai.stanford.edu

Max-Margin Markov Networks Ben Taskar Carlos Guestrin Daphne Koller {btaskar,guestrin,koller}@cs.stanford.edu Stanford University

Source URL: papers.nips.cc

RESEARCH ARTICLES A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules Joshua M. Stuart,1*† Eran Segal,2* Daphne Koller,2‡ Stuart K. Kim3‡

Source URL: genie.weizmann.ac.il

In Proceedings of the Fourteenth National Conference on Artificial Intelligence (AAAI-97), pages, Providence, Rhode Island, August 1997 Effective Bayesian Inference for Stochastic Programs Daphne Koller

Source URL: ai.stanford.edu

Probabilistic Classification and Clustering in Relational Data Ben Taskar Eran Segal Daphne Koller

Source URL: genie.weizmann.ac.il

Selectivity Estimation using Probabilistic Models Lise Getoor Ben Taskar Daphne Koller

Source URL: robotics.stanford.edu

• Database management systems
• SQL
• Relational model
• Relational database management systems
• Database theory
• Relational database
• Query optimizer
• Relation
• Tuple
• Data management
• Computing
• Data

Reasoning at the Right Time Granularity Suchi Saria Uri Nodelman Daphne Koller

Source URL: robotics.stanford.edu

• Probability and statistics
• Markov models
• Probability
• Probability theory
• Networks
• Continuous-time Markov process
• Belief propagation
• Markov chain
• Hidden Markov model
• Statistics
• Graphical models
• Markov processes

C HRISTIAN R. S HELTON University of California, Riverside Department of Computer Science & Engineering 327 Chung Hall Riverside, CA 92521

Source URL: www.cs.ucr.edu

• Computational statistics
• Expectation propagation
• International Conference on Machine Learning
• Conference on Neural Information Processing Systems
• Daphne Koller
• Ambient intelligence
• Machine learning
• Artificial intelligence
• Learning

Probabilistic Classification and Clustering in Relational Data Ben Taskar Eran Segal Daphne Koller

Source URL: ai.stanford.edu

• Machine learning
• Graphical models
• Cluster analysis
• Relational model
• Expectation–maximization algorithm
• Relation
• Probabilistic relational model
• Bayesian network
• Data mining
• Statistics
• Probability and statistics
• Statistical models