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167
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AIPS
2011
14 years 6 months ago
Sample-Based Planning for Continuous Action Markov Decision Processes
In this paper, we present a new algorithm that integrates recent advances in solving continuous bandit problems with sample-based rollout methods for planning in Markov Decision P...
Christopher R. Mansley, Ari Weinstein, Michael L. ...
117
Voted
IDEAS
2007
IEEE
71views Database» more  IDEAS 2007»
15 years 9 months ago
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
Abhishek Srivastava, Osmar R. Zaïane, Maria-L...
107
Voted
UAI
2004
15 years 4 months ago
Mixtures of Deterministic-Probabilistic Networks and their AND/OR Search Space
The paper introduces mixed networks, a new framework for expressing and reasoning with probabilistic and deterministic information. The framework combines belief networks with con...
Rina Dechter, Robert Mateescu
113
Voted
EDBT
2002
ACM
139views Database» more  EDBT 2002»
16 years 2 months ago
Aggregate Processing of Planar Points
Abstract. Aggregate window queries return summarized information about objects that fall inside a query rectangle (e.g., the number of objects instead of their concrete ids). Tradi...
Yufei Tao, Dimitris Papadias, Jun Zhang
112
Voted
AIPS
2003
15 years 4 months ago
Reasoning about Autonomous Processes in an Estimated-Regression Planner
We examine the issues that arise in extending an estimatedregression (ER) planner to reason about autonomous processes that run and have continuous and discrete effects without th...
Drew V. McDermott