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NIPS
2004
15 years 5 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng
UAI
2001
15 years 5 months ago
Improved learning of Bayesian networks
The search space of Bayesian Network structures is usually defined as Acyclic Directed Graphs (DAGs) and the search is done by local transformations of DAGs. But the space of Baye...
Tomás Kocka, Robert Castelo
UAI
2003
15 years 5 months ago
Strong Faithfulness and Uniform Consistency in Causal Inference
A fundamental question in causal inference is whether it is possible to reliably infer the manipulation effects from observational data. There are a variety of senses of asymptot...
Jiji Zhang, Peter Spirtes
VG
2003
15 years 5 months ago
Rapid Emission Tomography Reconstruction
We present new implementations of the Maximum Likelihood Expectation Maximization (EM) algorithm and the related Ordered Subset EM (OSEM) algorithm. Our implementation is based on...
Ken Chidlow, Torsten Möller
IJCAI
1997
15 years 5 months ago
Interleaved Depth-First Search
In tree search, depth-first search (DFS) often uses ordering successor heuristics. If the heuristic makes a mistake ordering a bad successor (without goals in its subtree) before ...
Pedro Meseguer