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ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
ICML
2010
IEEE
14 years 7 months ago
2010
IEEE
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
AAAI
2011
13 years 9 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
DAC
1995
ACM
15 years 1 months ago
1995
ACM
Our goal is to transform a low-level circuit design into a more representation. A pre-existing tool, Tranalyze [4], takes a switch-level circuit and generates a functionally equiv...
DAGSTUHL
2007
14 years 11 months ago
2007
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...