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NN
2006
Springer
127views Neural Networks» more  NN 2006»
15 years 4 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
NN
2006
Springer
15 years 4 months ago
Speed-accuracy trade-off in planned arm movements with delayed feedback
The Vector Integration to Endpoint (VITE) circuit describes a real-time neural network model simulating behavioral and neurobiological properties of planned arm and hand movements...
Dan Beamish, I. Scott MacKenzie, Jianhong Wu
PR
2006
229views more  PR 2006»
15 years 4 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
PR
2006
120views more  PR 2006»
15 years 4 months ago
Alternative learning vector quantization
In this paper, we discuss the influence of feature vectors contributions at each learning time t on a sequential-type competitive learning algorithm. We then give a learning rate ...
Kuo-Lung Wu, Miin-Shen Yang
PRL
2006
95views more  PRL 2006»
15 years 4 months ago
Evolving visual sonar: Depth from monocular images
To recover depth from images, the human visual system uses many monocular depth cues, which vision research has only begun to explore. Because a given image can have many possible...
Martin C. Martin