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08/18/2020
Learning the Structure of Auto-Encoding Recommenders
Autoencoder recommenders have recently shown state-of-the-art performanc...
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03/13/2013
Sidestepping the Triangulation Problem in Bayesian Net Computations
This paper presents a new approach for computing posterior probabilities...
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03/06/2013
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams
To determine the value of perfect information in an influence diagram, o...
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02/27/2013
Inter-causal Independence and Heterogeneous Factorization
It is well known that conditional independence can be used to factorize ...
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02/27/2013
Solving Asymmetric Decision Problems with Influence Diagrams
While influence diagrams have many advantages as a representation framew...
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02/06/2013
Fast Value Iteration for Goal-Directed Markov Decision Processes
Planning problems where effects of actions are non-deterministic can be ...
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02/06/2013
Independence of Causal Influence and Clique Tree Propagation
This paper explores the role of independence of causal influence (ICI) i...
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02/06/2013
Region-Based Approximations for Planning in Stochastic Domains
This paper is concerned with planning in stochastic domains by means of ...
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02/06/2013
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes
Most exact algorithms for general partially observable Markov decision p...
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01/30/2013
Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method
There is much interest in using partially observable Markov decision pro...
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01/30/2013
Probabilistic Inference in Influence Diagrams
This paper is about reducing influence diagram (ID) evaluation into Baye...
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01/23/2013
A Method for Speeding Up Value Iteration in Partially Observable Markov Decision Processes
We present a technique for speeding up the convergence of value iteratio...
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12/12/2012
Dimension Correction for Hierarchical Latent Class Models
Model complexity is an important factor to consider when selecting among...
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10/16/2012
