Moises Goldszmidt ph# 415 606 9762 moises@robotics.stanford.edu Bibliographical Research Publications Vita (Word or PS) Learning Bayesian Networks from Data Professional Activities

Research

• Probability and decision theory: reasoning under uncertainty and optimal decision making. Effective (fast, approximate, and anytime) algorithms for inference.

 
• Machine Learning: inducing probabilistic models from data, Bayesian classifiers. Learning and control of dynamic processes (via Bayesian Causal networks), multiagent learning.

 
• Knowledge representation: nonmonotonic and default reasoning, economics and game theory.

Projects

• Coordination of Agent-Based Systems (COABS) : Research for control and coordination of multiple agents through decision theoretic and economics methods.

 
• High Performance Knowledge Bases (HPKB) : Research for machine learning methods, based on probabilistic models, for the construction of high performance knowledge bases. DARPA funded.

 

 
 
 

• Learning and Adaptive Systems (LAS) : Research and development on technology to provide complex systems with a capability to improve the performance over time, using continuously gathered data.

 

 
 
 

• AI Seminar series

Tutorials

• AAAI-98' - "Learning Bayesian Networks from Data"

Selected Publications

"Sequential Auctions for the Allocation of Resources with Complementarities"

Craig Boutilier, Moises Goldszmidt, and Bikash Sabata

In Proceedings of IJCAI-99. --- Paper(127k).

 

"Continuous Value Function Approximation for Sequential Bidding Policies"

Craig Boutilier, Moises Goldszmidt, and Bikash Sabata

In Proceedings of UAI-99. --- Paper(166k).

 

"Data Analysis with Bayesian Networks: A Bootstrap Approach"

Nir Friedman, Moises Goldszmidt, and Abraham Wyner

            In proceedings of UAI-99. --- Paper.

"On the Application of the Bootstrap for Computing Confidence Measures on

Features of Induced Bayesian Networks"

Nir Friedman, Moises Goldszmidt, and Abraham Wyner

            In proceedings of AI and Stats 99. --- Paper.

"Bayesian Network Classification with Continous Attributes:

Getting the Best of Both Discretization and Parametric Fitting"

Nir Friedman, Moises Goldszmidt, and Tom Lee

In proceedings International Conference on Machine Learning 1998. --- Paper.

 

"Bayesian Network Classifiers"

Nir Friedman, Dan Geiger, and Moises Goldszmidt

To appear in Machine Learning 1997. --- Paper.

 

"Sequential Update of Bayesian Network Structures"

Nir Friedman and Moises Goldszmidt

In Proceedings of CUAI-97. --- Paper.

 

"Challenge: Where is the Impact of Learning Bayesian Networks"

Nir Friedman , Moises Goldszmidt, David Heckerman, and Stuart Russell

In Proceedings of IJCAI-97. --- Paper.

 

"Learning Bayesian Networks with Local Structure"

Nir Friedman and Moises Goldszmidt

In Proceedings of CUAI-96. Abstract --- Paper.

 

"Discretizing Continuous Attributes While Learning Bayesian Networks"

Nir Friedman and Moises Goldszmidt

In Proceedings of ICML-96. Abstract --- Paper.

 

"Building Classifiers using Bayesian Networks"

Nir Friedman and Moises Goldszmidt

In Proceedings of AAAI-96. Abstract --- Paper.

 

"Context-Specific Independence in Bayesian Networks"

C. Boutilier, Nir Friedman, Moises Goldszmidt, and D. Koller.

In Proceedings of CUAI-96. Abstract --- Paper(168k).

 

"Qualitative Probabilities for Default Reasoning, Belief Revision, and Causal Modeling"

Moises Goldszmidt and Judea Pearl

To appear in Artificial Intelligence (AIJ Spring-96). Abstract --- Paper.

 

"Fast Belief Update Using Order-of-Magnitude Probabilities"

Moises Goldszmidt

In Proceedings of CUAI-95. Abstract --- Paper.

 

"Exploiting Structure in Policy Construction"

Craig Boutilier,Richard Dearden and Moises Goldszmidt

In Proceedings of IJCAI-95 (see also AAAI Spring Symposium on Extending

Theories of Action, Stanford, March 1995). Abstract --- Paper.

 

"Plan Simulation Using Bayesian Networks"

Moises Goldszmidt and Adnan Darwiche

In Proceedings of IEEE-CAIA-95. Abstract --- Paper.

 

"Action Networks: A Framework for Reasoning about Actions and Change under Uncertainty"

Adnan Darwiche and Moises Goldszmidt

In Proceedings CUAI-94. Abstract --- Paper.

 

"On the Relation between Kappa Calculus and Probabilistic Reasoning"

Adnan Darwiche and Moises Goldszmidt

In Proceedings of CUAI-94. Abstract --- Paper.

 

"Rank-based systems: A simple Approach to Belief Revision, Belief Update,

and Reasoning About Evidence and Actions"

Moises Goldszmidt and Judea Pearl

In Proceedings of KR-92. Abstract --- Paper.

Professional Activities

I am currently the program co-chair (with Craig Boutilier) of the Conference on Uncertainty in Artificial Intelligence CUAI-2k.

I am also in the editorioal board of the Journal of Artificial Intelligence Research (JAIR), and the Journal of Artificial Intelligence Research.  I have also served on the program committees of the major Artificial Intelligence conferences inclusing UAI, AAAI, KDD since 1992.