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ICANN
2007
Springer
16 years 26 days ago
Generalized Softmax Networks for Non-linear Component Extraction
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
Jörg Lücke, Maneesh Sahani
IDEAS
2006
IEEE
180views Database» more  IDEAS 2006»
16 years 22 days ago
SURCH: Distributed Aggregation over Wireless Sensor Networks
In this paper, we present SURCH, a novel decentralized algorithm for efficient processing of queries generated in sensor networks. Unlike existing techniques, SURCH is fully dist...
Xingbo Yu, Sharad Mehrotra, Nalini Venkatasubraman...
IJCNN
2006
IEEE
16 years 22 days ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
CEC
2005
IEEE
16 years 10 days ago
Dynamic power minimization during combinational circuit testing as a traveling salesman problem
Testing of VLSI circuits can cause generation of excessive heat which can damage the chips under test. In the random testing environment, high-performance CMOS circuits consume sig...
Artem Sokolov, Alodeep Sanyal, L. Darrell Whitley,...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 7 days ago
Meta-grammar constant creation with grammatical evolution by grammatical evolution
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
Ian Dempsey, Michael O'Neill, Anthony Brabazon