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» Approximating Optimal Binary Decision Trees
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ECML
2006
Springer
13 years 11 months ago
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Sébastien Jodogne, Justus H. Piater
COMSIS
2010
13 years 5 months ago
A novel hierarchical speech emotion recognition method based on improved DDAGSVM
In order to improve the recognition accuracy of speech emotion recognition, in this paper, a novel hierarchical method based on improved Decision Directed Acyclic Graph SVM (improv...
Qi-Rong Mao, Yong-Zhao Zhan
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
13 years 12 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
PPSN
2004
Springer
14 years 1 months ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli
ICCAD
1994
IEEE
114views Hardware» more  ICCAD 1994»
13 years 11 months ago
Performance-driven synthesis of asynchronous controllers
We examine the implications of a new hazard-free combinational logic synthesis method [8], which generates multiplexor trees from binary decision diagrams (BDDs) -- representation...
Kenneth Y. Yun, Bill Lin, David L. Dill, Srinivas ...