199 citations found. Retrieving documents...
Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5:142--150, 1989.

 Home/Search   Document Not in Database   Summary   Related Articles   Check  

This paper is cited in the following contexts:

First 50 documents  Next 50

Solving Factored MDPs via Non-Homogeneous Partitioning - Kee-Eung Kim And   Self-citation (Dean)   (Correct)

No context found.

Thomas Dean and Keiji Kanazawa. A Model for Reasoning about Persistence and Causation. Computational Intelligence, pages 143--150, 1989.


Equivalence Notions and Model Minimization in - Markov Decision Processes   Self-citation (Dean)   (Correct)

No context found.

Dean, T. and Kanazawa, K. 1989. A model for reasoning about persistence and causation. Computer Intelligence 5(3):142-150.


Approximate Linear Programming for Solving - Hybrid Factored Mdps   (Correct)

No context found.

Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5:142--150, 1989.


Planning In Hybrid Structured Stochastic - Domains Comenius University   (Correct)

No context found.

Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5:142--150, 1989.


Journal of Machine Learning Research 7 (2006) 2259-2301.. - Anders Jonsson Anders   (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5(3):142--150, 1989.


IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 52, NO. 8.. - Stationary Time Series   (Correct)

No context found.

T. Dean and K. Kanazawa, "A model for reasoning about persistence and causation," Comput. Intel, vol. 5, no. 3, pp. 142--150, 1989.


Machine Learning, ??, 1--11 (1998) - Mixed Memory Markov   (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence 5(3): 142--150 (1989).


Appeared in the Twentieth Conference on Uncertainty in.. - Solving Factored Mdps (2004)   (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Compt. Intel., 5:142--150, 1989.


AAAI Spring Symposium, Stanford, California, March 2002. - Context Specific Multiagent (2002)   (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Comp. Intelligence, 5(3):142--150, 1989.


Max-norm Projections for Factored MDPs - Carlos Guestrin Computer (2001)   (21 citations)  (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5(3):142--150, 1989.


International Joint Conference on Artificial.. - Max-Norm Projections For (2001)   (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5(3):142--150, 1989.


Speeding up Inference in Markovian Models - Theodore Charitos Peter   (Correct)

No context found.

Dean, T., and Kanazawa, K. 1989. A model for reasoning about persistence and causation. Computational Intelligence 5:142-150.


Linear Program Approximations for Factored Continuous-State .. - Hauskrecht, Kveton (2003)   (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5:142--150, 1989.


Value-Directed Belief State Approximation for POMDPs - Pascal Poupart University (2000)   (4 citations)  (Correct)

No context found.

Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5(3):142--150, 1989.


Solving Factored MDPs with Continuous and Discrete Variables - Guestrin, Hauskrecht.. (2004)   (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Compt. Intel., 5:142--150, 1989.


Merl A Mitsubishi Electric Research Laboratory - Http Www Merl   (Correct)

No context found.

Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5:142#150, 1989.


Approximate Value-Directed Belief State Monitoring - For Partially Observable   (Correct)

No context found.

Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5(3):142-150, 1989.


Solving Factored MDPs with Exponential-Family Transition Models - Kveton, Hauskrecht (2006)   (Correct)

No context found.

Dean, T., and Kanazawa, K. 1989. A model for reasoning about persistence and causation. Computational Intelligence 5:142--150.


A Model-Based Goal-Directed Bayesian Framework for.. - Shon, Grimes.. (2004)   (Correct)

No context found.

Dean, T. and Kanazawa, K. (1989). A model for reasoning about persistence and causation. Computational Intelligence, 5(3):142-- 150.


Symmetric Primal-Dual Approximate Linear Programming for.. - Dolgov, Durfee (2006)   (Correct)

No context found.

Dean, T., & Kanazawa, K. (1989). A model for reasoning about persistence and causation. Computational Intelligence, 5(3), 142--150.


Approximate Linear Programming for Solving Hybrid Factored MDPs - Hauskrecht, Kveton   (Correct)

No context found.

Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5:142--150, 1989.


Poisson-Networks: A Model for Structured Point Processes - Shyamsundar Rajaram Ece   (Correct)

No context found.

T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5:142--150, 1989.


An MCMC Approach to Solving Hybrid Factored MDPs - Kveton, Hauskrecht (2005)   (1 citation)  (Correct)

No context found.

Thomas Dean and Keiji Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5:142--150, 1989.


Feature-based Pronunciation Modeling for Speech Recognition - Karen Livescu And (2004)   (Correct)

No context found.

T. Dean and K. Kanazawa, "A model for reasoning about persistence and causation," Computational Intelligence, 5:142-- 150, 1989.


Reinforcement Learning for Factored Markov Decision Processes - Sallans (2002)   (Correct)

No context found.

Dean, T. and K. Kanazawa (1989). A model for reasoning about persistence and causation. Computational Intelligence 5.

First 50 documents  Next 50

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC