- PLANNING UNDER UNCERTAINTY IN COMPLEX STRUCTURED ENVIRONMENTS
- Hierarchical Linear Models and Cell Data Geo rey J. Gordon
- Linear Programming, Lagrange Multipliers,
- Learning for Multi-Agent Decision Problems
- Predictive State Temporal Difference Learning Byron Boots
- A Bayesian Matrix Model for Relational Data Ajit P. Singh
- A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games
- A Unified View of Matrix Factorization Models Ajit P. Singh and Geoffrey J. Gordon
- Fast State Discovery for HMM Model Selection and Learning Sajid M. Siddiqi
- Auction Mechanism Design for Multi-Robot Coordination
- Generalized2 Geoffrey J. Gordon
- Support Vector Machines and Kernel Methods
- Review of Linear Algebra 10-725 -Optimization
- 10601 Machine Learning September 2, 2009
- Logistic Regression Principal Component Analysis
- Recitation 9 Oznur Tastan
- POMDP Planning for Robust Robot Control Joelle Pineau Geoff Gordon
- Efficient Monitoring for Planetary Rovers Vandi Verma
- A Novel Graphical Model Approach to Segmenting Cell Images
- Decentralized Sensor Fusion with Distributed Particle Filters Matt Rosencrantz, Geoffrey Gordon, and Sebastian Thrun
- A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games
- Pointbased value iteration: An anytime algorithm for POMDPs Joelle Pineau, Geoff Gordon and Sebastian Thrun
- information exponential
- Interactive 2D Multivariate Normal In[17]:= Needs@"MultivariateStatistics`"D;
- Fix a rectangle (unknown to you): From An Introduction to Computational
- To appear in Robotics & Automation Magazine, special issue on Human Centered Robotics and Dependability June 2004. Initial submission Aug 2002.
- PLANNING UNDER UNCERTAINTY IN COMPLEX STRUCTURED ENVIRONMENTS
- Approximate Solutions For Partially Observable Stochastic Games with Common Payoffs
- Support Vector Machines Joseph Gonzalez
- No-regret algorithms for structured prediction problems
- Generalized 2 Linear 2 Models Geo rey J. Gordon
- Finding Correlated Equilibria in General Sum Stochastic Games
- Factor Graphs, Variable Elimination, MLEs
- Hilbert Space Embeddings of Hidden Markov Models Le Song lesong@cs.cmu.edu
- To appear in Proc. of the National Conference on Artificial Intelligence (AAAI 2004) San Jose, California, July 2004
- Noregret algorithms for structured prediction problems
- ARA*: Anytime A* with Provable Bounds on SubOptimality
- ggordon@cs.cmu.edu classification
- Regret Bounds for Prediction Problems Geoffrey J. Gordon \Lambda
- ggordon@cs.cmu.edu linear/convex
- Rank-Based Tests ggordon@cs.cmu.edu
- Oznur Tastan 10601 Machine Learning
- Computing an Approximate Jam/Fold Equilibrium for 3-player No-Limit Texas Hold'em Tournaments
- Planning in the Presence of Cost Functions Controlled by an Adversary
- A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
- Learning Structured Prediction Models: A Large Margin Approach Ben Taskar taskar@cs.berkeley.edu
- Machine Learning 10601 Recitation 6
- Adaptive Sampling for Multi-Robot Wide-Area Exploration Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, and Pradeep Khosla
- Machine Learning 10601 Recitation 8
- Model Uncertainty in Classical Conditioning A. C. Courville* 1,3 , N. D. Daw 2,3 , G. J. Gordon 4 , and D. S. Touretzky 2,3
- Policycontingent abstraction for robust robot control Joelle Pineau, Geoff Gordon and Sebastian Thrun
- Matlab Tutorial Joseph E. Gonzalez
- Support Vector Machines Joseph Gonzalez
- Learning Filaments Geoffrey J. Gordon ggordon@cs.cmu.edu
- Locating Moving Entities in Indoor Environments with Teams of Mobile Robots
- 15-780 -Graduate Artificial Intelligence MW 10:30-11:50 / WeH 5409
- An Accelerated Gradient Method for Distributed Multi-Agent Planning with Factored MDPs
