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» On Learning Boolean Functions
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ISNN
2005
Springer
15 years 3 months ago
FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer
In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
Poyueh Chen, Hungming Tsai, ChengJian Lin, ChiYung...
WWW
2011
ACM
14 years 4 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
ACL
1998
14 years 11 months ago
PAT-Trees with the Deletion Function as the Learning Device for Linguistic Patterns
In this study, a learning device based on the PATtree data structures was developed. The original PAT-trees were enhanced with the deletion function to emulate human learning comp...
Keh-Jiann Chen, Wen Tsuei, Lee-Feng Chien
SAT
2009
Springer
158views Hardware» more  SAT 2009»
15 years 4 months ago
Beyond CNF: A Circuit-Based QBF Solver
State-of-the-art solvers for Quantified Boolean Formulas (QBF) have employed many techniques from the field of Boolean Satisfiability (SAT) including the use of Conjunctive Norm...
Alexandra Goultiaeva, Vicki Iverson, Fahiem Bacchu...
DATE
2007
IEEE
85views Hardware» more  DATE 2007»
15 years 4 months ago
QuteSAT: a robust circuit-based SAT solver for complex circuit structure
We propose a robust circuit-based Boolean Satisfiability (SAT) solver, QuteSAT, that can be applied to complex circuit netlist structure. Several novel techniques are proposed in ...
Chi-An Wu, Ting-Hao Lin, Chih-Chun Lee, Chung-Yang...