440 search results - page 46 / 88 » Learning Nonlinear Dynamic Models from Non-sequenced Data |
BIOINFORMATICS
2005
13 years 7 months ago
2005
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
BMCBI
2008
13 years 7 months ago
2008
Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the...
MICAI
2005
Springer
14 years 1 months ago
2005
Springer
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
MICCAI
2009
Springer
14 years 2 months ago
2009
Springer
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...