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ICANN
2003
Springer
14 years 21 days ago
Knowledge Refinement Using Fuzzy Compositional Neural Networks
Fuzzy relations as representational tools and fuzzy compositional operators as reasoning components, are user in this paper in order to represent knowledge expressed in semantic ru...
Vassilis Tzouvaras, Giorgos B. Stamou, Stefanos D....
ECCV
2008
Springer
14 years 9 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
FLAIRS
2003
13 years 8 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
WECWIS
2009
IEEE
162views ECommerce» more  WECWIS 2009»
14 years 2 months ago
QoS-Driven Web Service Composition Using Learning-Based Depth First Search
—The goal of the Web Service Composition (WSC) problem is to find an optimal composition of web services to satisfy a given request using their syntactic and/or semantic feature...
Wonhong Nam, Hyunyoung Kil, Jungjae Lee
CAV
2007
Springer
164views Hardware» more  CAV 2007»
13 years 11 months ago
SAT-Based Compositional Verification Using Lazy Learning
Abstract. A recent approach to automated assume-guarantee reasoning (AGR) for concurrent systems relies on computing environment assumptions for components using the L algorithm fo...
Nishant Sinha, Edmund M. Clarke