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NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 3 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
KBSE
2000
IEEE
13 years 9 months ago
Systematic Generation of Dependable Change Coordination Plans for Automated Switching of Coordination Policies
Distributed information systems for decision support and e-commerce applications require coordination of multiple autonomous components and their services to accomplish a set of g...
Prasanta K. Bose, Mark G. Matthews
ICML
2006
IEEE
14 years 6 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
ICML
2010
IEEE
13 years 6 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
EELC
2006
128views Languages» more  EELC 2006»
13 years 8 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby