92 search results - page 15 / 19 » A General Convergence Method for Reinforcement Learning in t... |
GECCO
2011
Springer
12 years 10 months ago
2011
Springer
We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space dista...
NIPS
1992
13 years 7 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
IJON
2007
13 years 6 months ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
STOC
2010
ACM
13 years 10 months ago
2010
ACM
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
TNN
1998
13 years 6 months ago
1998
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...