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» Learning action effects in partially observable domains
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AIPS
2006
13 years 6 months ago
Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
Jinbo Huang
NIPS
2008
13 years 6 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
CSE
2009
IEEE
13 years 9 months ago
Information Technology Capabilities for Digital Social Networks
This paper contributes to the evolving body of knowledge pertaining to the study of digitally-enabled social networks, their usage, and their effects on people, organization, and s...
Camille Grange, Izak Benbasat
BIOCOMP
2006
13 years 6 months ago
Insight of the Signal Motif of GPI-(like)-anchored Proteins by using SVM
- Many proteins contain a signal sequence at their COOH-terminus recognized by glycosylphosphatidylinositol (GPI) anchor and attached on the membrane. Experimental result suggests ...
Wei Cao, Kazuya Sumikoshi, Tohru Terada, Shugo Nak...
AIIDE
2009
13 years 6 months ago
Improving Offensive Performance Through Opponent Modeling
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
Kennard Laviers, Gita Sukthankar, David W. Aha, Ma...