DMU-1
- PEGASUS: A Policy Search Method for Large MDPs and POMDPs
- A. Y. Ng and M. I. Jordan
- Uncertainty in Artificial Intelligence,
Proceedings of the Sixteenth Conference, 2000.
DMU-2
- Link Analysis, Eigenvectors, and Stability
- A. Y. Ng, A. X. Zheng and M. I. Jordan
- Proceedings of the Seventeenth
International Joint Conference on Artificial Intelligence, 2001.
DMU-3
- Random LSC Functions: an Ergodic Theorem
- L. A. Korf and R. J-B Wets
- 2000.
DMU-4
- Learning an Agent's Utility Function by Observing Behavior
- U. Chajewska, D. Koller, and D. Ormoneit
- ICML, 2001.
DMU-5
- Convergence Rates of the Voting Gibbs Classifier, with Application to
Bayesian
Feature Selection
- A. Y. Ng and M. I. Jordan
- Machine Learning: Proceedings of the
Eighteenth International Conference, San Mateo, CA: Morgan Kaufmann,
2001.
DMU-6
- Max-Norm Projections for Factored MDPs
- C. Guestrin, D. Koller, and R. Parr
- To appear in International Joint Conference on Artificial Intelligence (IJCAI-01), Seattle, Washington, August 2001.
DMU-7
- Solving Factored POMDPs with Linear Value Function
- C. Guestrin, D. Koller, and R. Parr
- To appear in the IJCAI-01 workshop on Planning under Uncertainty
and Incomplete Information (workshop PRO-2), Seattle, Washington, August 2001.
DMU-8
- The Linear Programming Approach to Approximate Dynamic Programming
- D. P. de Farias and B. Van Roy
- Submitted to the IEEE Transactions
on Automatic Control, January 2001.
DMU-9
- Approximate Inference for First-Order Probabilistic Languages
- H. Pasula and S. Russell
- In Proc. IJCAI-01, Seattle, 2001.
DMU-10
- Programmable Reinforcement Learning Agents
- D. Andre and S. Russell
- In Advances in
Neural Information Processing Systems 13, MIT Press, 2001.
DMU-11
- A New Central Limit Theorem for Random Compact Sets
- M. Casey
- June 15, 2001.
DMU-12
- Ergodic Theorems for Random Lagrangians
- A. Bagh and M. Casey
- June 15, 2001.
DMU-13
- A Tractable POMDP for a Class of Sequencing Problems
- P. Rusmevichientong and B. Van Roy
- June 13, 2001.
DMU-14
- On Constraint Sampling in the Linear Programming Approach
to Approximate Dynamic Programming
- D. P. de Farias and B. Van Roy
- 2001.
DMU-15
- Minimax Probability Machine
- G. Lankriet, L. El Ghaoui, C. Bhattacharyya, and M. I. Jordan
- Advances in Neural Information Processing Systems 14, 2001.
DMU-16
- Learning the Kernel Matrix with Semi-Definite Programming
- G. Lankriet, N. Cristianini, L. El Ghaoui, and M. I. Jordan
- Submitted for the 19th International Conference on Machine Learning (ICML-2002).
DMU-17
- Coordinated Reinforcement Learning
- C. Guestrin, M. Lagoudakis and R. Parr
- In AAAI-2002 Spring Symposium on Collaborative Learning Agents, Stanford, California, March 2002.
DMU-18
- Context Specific Multiagent Coordination and Planning with
Factored MDPs
- C. Guestrin, S. Venkataraman and D. Koller
- In AAAI-2002 Spring Symposium on Collaborative Learning Agents, Stanford, California, March 2002.
DMU-19
- Multiagent Planning with Factored MDPs
- C. Guestrin, D. Koller and R. Parr
- In Advances in Neural Information Processing Systems (NIPS-14), Vancouver, Canada, December 2001.
DMU-20
- State Abstraction for Programmable
Reinforcement Learning Agents
- D. Andre and S. Russell
-
Technical Report CSD-01-1156, Computer Science Division, UC Berkeley, 2001.
DMU-21
- Rao-Blackwellised Particle
Filtering for Dynamic Bayesian Networks
- K. Murphy and S. Russell
-
In Sequential Monte Carlo
Methods in Practice, A. Doucet, N. de Freitas and N.J. Gordon (eds),
Springer-Verlag, 2001.
DMU-22
- Rao-Blackwellised Particle Filtering for Fault Diagnosis
- N. de Freitas
-
IEEE Aerospace, 2002.
DMU-23
- Bayesian Latent Semantic
Analysis of Multimedia Databases
- N. de Freitas and K. Barnard
-
UBC TR 2001-15.
DMU-24
- Approximate Inference for
First-Order Probabilistic Languages
- H. Pasula and S. Russell
-
In Proc. IJCAI-01, Seattle,
2001.
DMU-25
- Sequential Monte Carlo Methods in Practice
- A. Doucet, N. de Freitas and N.J. Gordon (eds)
-
Springer-Verlag, 2001.
DMU-26
- Kernal Independent Component Analysis
- F. Bach and M. I. Jordan
-
Technical Report CSD-01-1166, Computer Science
Division, University of California, Berkeley, 2001.
DMU-27
- Latent Dirichlet Allocation
- D. Blei, A. Y. Ng, and M. I. Jordan
-
Advances in Neural Information Processing Systems 14,
2001.
DMU-28
- Thin Junction Trees
- F. Bach and M. I. Jordan
-
Advances in Neural Information Processing Systems 14, 2001.
DMU-29
- On Spectral Clustering: Analysis and an Algorithm
- A. Y. Ng, M. I. Jordan, and Y. Weiss
- Advances in Neural Information
Processing Systems 14, 2001.
DMU-30
- On Discriminative vs. Generative Classifiers: A Comparison of
Logistic Regression and Naive Bayes
- A. Y. Ng and M. I.
Jordan
- Advances in Neural Information Processing Systems 14, 2001.
DMU-31
- Stable Algorithms for Link Analysis
- A. Y. Ng, A. X. Zheng, and M. I. Jordan
- Proceedings of the 24th International
Conference on Research and Development in Information Retrieval (SIGIR 2001), New York, NY: ACM Press, 2001.
DMU-32
- Efficient Stepwise Selection in Decomposable Models
- A. Deshpande, M. N. Garofalakis, and M. I. Jordan
- In J. Breese
and D. Koller (Ed)., Uncertainty in Artificial Intelligence, Proceedings of the Seventeenth Conference, 2001.
DMU-33
- Variational MCMC
- N. de Freitas, P. Hojen-Sørensen, M. I. Jordan, and S. Russell
- In J. Breese and D. Koller (Ed).,
Uncertainty in Artificial Intelligence, Proceedings of the Seventeenth Conference, 2001.
DMU-34
- A Hierarchical Approach to Probabilistic Pursuit-Evasion Games with Unmanned Ground and Aerial Vehicles
- H. J. Kim, R. Vidal, D. Shim, O. Shakernia, and S. Sastry
-
In Proceedings of the Conference on Decision and Control, 2001.
DMU-35
- Nonlinear Model Predictive Tracking Control for
Rotorcraft-based Unmanned Aerial Vehicles
- H. J. Kim, D. Shim, and S. Sastry
-
Submitted to the American Control Conference, 2002.
DMU-36 - Multi-Agent Probabilistic Pursuit-Evasion
Games with Unmanned Ground and Aerial Vehicles
- R. Vidal,
O. Shakernia, H. J. Kim, H. Shim, and S. Sastry
- Accepted for
publication in IEEE Transactions on Robotics and Automation, 2002.
DMU-37 -
Direct and Indirect Effects
-
J. Pearl.
-
Proceedings of the Seventeenth Conference on Uncertainty in Artificial
Intelligence, 2001.
DMU-38 -
Causal Discovery from Changes
- J. Tian and J. Pearl
-
DMU-39 -
Causes and Explanations: A Structural-Model Approach --
Part I: Causes
-
J.Y. Halpern and J. Pearl
- Proceedings of the Seventeenth Conference on Uncertainty in Artificial
Intelligence, 2001.
DMU-40 -
Causes and Explanations: A Structural-Model Approach -- Part II:
Explanations
-
J.Y. Halpern and J. Pearl
-
Proceedings of the Seventeenth International Joint Conference on Artificial
Intelligence (IJCAI), 2001.
DMU-41 -
Causal Inference in Statistics: A Gentle Introduction
-
J. Pearl
- Submitted to Computing Science and Statistics,
Proceedings of Interface 2001.
DMU-42 -
A New Identification Condition for Recursive Models with Correlated
Errors.
-
C. Brito and J. Pearl
-
DMU-43 -
When do Numbers Really Matter?
-
H. Chan and A. Darwiche
-
DMU-44 -
A Distance Measure for Bounding Probabilistic Belief Change
-
H. Chan and A. Darwiche
-
DMU-45 -
A Logical Approach to Factoring Belief Networks
-
A. Darwiche
-
DMU-46 -
Using Recursive Decomposition to Compute Elimination Orders, Jointrees
and dtrees
-
A. Darwiche and M. Hopkins
-
DMU-47 -
Approximating MAP Using Stochastic Local Search
-
J. Park and A. Darwiche
-
DMU-48 -
The Use of Classifiers in Sequential Inference
-
V. Punyakanok and D. Roth
-
DMU-49 -
Exploring Evidence for Shallow Parsing
-
X. Li and D. Roth
- CoNLL, 2001.
DMU-50 -
Relational Learning via Propositional Algorithms: An Information
Extraction Case Study
-
D. Roth and W. Yih
- IJCAI, 2001.
DMU-51 -
Learning Questions Classifiers
-
X. Li and D. Roth
-
DMU-52 -
Learning Components for a Question Answering System
-
D. Roth. G. Kao, X. Li, R. Nagarajan, and V. Punyakanok,
and N. Rizzolo, and W. Yih, and C. O. Alm, and L. G. Moran
-
DMU-53 -
A General Scheme for Multiple Lower Bound Computation in Constraint
Optimization
-
R. Dechter, J. Larrosa and K. Kask
-
DMU-54 -
Hybrid Processing of Beliefs and Constraints
-
D. Larkin and R. Dechter
-
DMU-55 -
Tree-Decomposition Approximations for Belief Updating
-
R. Mateescu, R. Dechter and K. Kask
- American Association for Artificial Intelligence, 2002.
DMU-56 -
Generating Random Solutions to Constraint Satisfaction Problems
-
R. Dechter, R. Emek, E. Bin and K. Kask
- American Association for Artificial Intelligence, 2002.
DMU-57 -
Epsilon-Cutset Effect on Iterative Belief Propagation in Bayesian
Networks
-
B. Bidyuk and R. Dechter
-
DMU-58 -
w-Cutset Sampling in Bayesian network of Arbitrary Topology
-
B. Bidyuk and R. Dechter
DMU-59 -
Competitive Analysis of Dynamic
Power Management Strategies for Systems with Multiple Power
Saving States
-
S. Irani, S. Shukla and R. Gupta
-
DMU-60 -
Online Algorithms for the Dynamic Traveling Repair Problem
-
S. Irani, X. Lu, A. Regan
-
DMU-61 -
Randomized Weighted Caching with Two Page Weights
-
S. Irani
-
DMU-62 -
Page Replacement with Multi-Size Pages and Applications
to Web Caches
-
S. Irani
-
DMU-63 -
Semi-Continuous Transmission for Cluster-Based Video Servers
-
S. Irani and N. Venkatasubramanian
-
muri@gubbio.cs.berkeley.edu