723 search results - page 50 / 145 » Learning a Hidden Subgraph |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
MACE
2009
Springer
14 years 3 months ago
2009
Springer
Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...
IJCAI
2007
13 years 10 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
ECCV
2004
Springer
14 years 2 months ago
2004
Springer
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...