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» An Approach to Generation of Decision Rules
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AIPS
2010
14 years 10 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
AI
2011
Springer
14 years 4 months ago
Relational preference rules for control
Much like relational probabilistic models, the need for relational preference models arises naturally in real-world applications where the set of object classes is fixed, but obj...
Ronen I. Brafman
ISCI
2008
181views more  ISCI 2008»
14 years 9 months ago
Attribute reduction in decision-theoretic rough set models
Rough set theory can be applied to rule induction. There are two different types of classification rules, positive and boundary rules, leading to different decisions and consequen...
Yiyu Yao, Yan Zhao
CVPR
2007
IEEE
15 years 4 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
SSS
2009
Springer
110views Control Systems» more  SSS 2009»
15 years 2 months ago
From Local Impact Functions to Global Adaptation of Service Compositions
Abstract. The problem of self-optimization and adaptation in the context of customizable systems is becoming increasingly important with the emergence of complex software systems a...
Liliana Rosa, Luís Rodrigues, Antóni...