5109 search results - page 275 / 1022 » On Learning Limiting Programs |
183
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ISNN
2007
Springer
16 years 25 days ago
2007
Springer
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning...
132
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IJCNN
2006
IEEE
16 years 22 days ago
2006
IEEE
— We analyze the generalization performance of a student in a model composed of linear perceptrons: a true teacher, ensemble teachers, and the student. Calculating the generaliza...
156
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COLT
2004
Springer
16 years 2 days ago
2004
Springer
Abstract. Probabilistic finite automata (PFA) model stochastic languages, i.e. probability distributions over strings. Inferring PFA from stochastic data is an open field of rese...
184
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AUSAI
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
178
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ESANN
1998
15 years 8 months ago
1998
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...