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NN
2007
Springer
267views Neural Networks» more  NN 2007»
15 years 6 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
PVLDB
2008
127views more  PVLDB 2008»
15 years 6 months ago
Hashed samples: selectivity estimators for set similarity selection queries
We study selectivity estimation techniques for set similarity queries. A wide variety of similarity measures for sets have been proposed in the past. In this work we concentrate o...
Marios Hadjieleftheriou, Xiaohui Yu, Nick Koudas, ...
AR
2010
101views more  AR 2010»
15 years 5 months ago
Novel Energy Transfer Mechanism in a Running Quadruped Robot with One Actuator per Leg
In this work we develop a novel method, or mechanism, of energy transfer in a quadruped running robot. The robot possesses only one actuator per leg, for lower weight and greater ...
Nicholas Cherouvim, Evangelos Papadopoulos
ISNN
2010
Springer
15 years 5 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
JAIR
2010
131views more  JAIR 2010»
15 years 5 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan