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IJCNN
2008
IEEE
15 years 3 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
72
Voted
CIKM
2007
Springer
15 years 3 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
ENTCS
2002
134views more  ENTCS 2002»
14 years 9 months ago
Implementing Compositional Analysis Using Intersection Types With Expansion Variables
A program analysis is compositional when the analysis result for a particular program fragment is obtained solely from the results for its immediate subfragments via some composit...
Assaf J. Kfoury, Geoffrey Washburn, Joe Wells
106
Voted
TSP
2010
14 years 4 months ago
Low complexity equalization for doubly selective channels modeled by a basis expansion
We propose a novel equalization method for doubly selective wireless channels, whose taps are represented by an arbitrary Basis Expansion Model (BEM). We view such a channel in the...
Tomasz Hrycak, Saptarshi Das, Gerald Matz, Hans G....
ICPPW
2002
IEEE
15 years 2 months ago
Dynamic Expansion of M : N Protection Groups in GMPLS Optical Networks
Abstract— In order to provide reliable connections across metropolitan and wide-area optical networks, the network operator must provide some degree of redundancy so that traffic...
David W. Griffith, SuKyoung Lee