536 search results - page 65 / 108 » Residual Algorithms: Reinforcement Learning with Function Ap... |
COLT
2003
Springer
14 years 28 days ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
NIPS
2008
13 years 9 months ago
2008
Metal binding is important for the structural and functional characterization of proteins. Previous prediction efforts have only focused on bonding state, i.e. deciding which prot...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
CONIELECOMP
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer (with 1 input and 1 output unit) and a five-layer (with double input and single...