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» Comparison of Approaches to Egomotion Computation
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ESANN
2003
14 years 5 days ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Jianyu Li, Siwei Luo, Yingjian Qi
WSC
2000
14 years 3 days ago
New results on procedures that select the best system using CRN
One use of simulation is to inform decision makers that seek to select the best of several alternative systems. The system with the highest (or lowest) mean value for simulation o...
Stephen E. Chick, Koichiro Inoue
PR
2006
161views more  PR 2006»
13 years 10 months ago
Incremental wrapper-based gene selection from microarray data for cancer classification
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single exp...
Roberto Ruiz Sánchez, José Crist&oac...
AROBOTS
1999
104views more  AROBOTS 1999»
13 years 10 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
NN
2010
Springer
189views Neural Networks» more  NN 2010»
13 years 5 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi