3694 search results - page 448 / 739 » Stochastic complexity in learning |
157
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ECAI
2006
Springer
15 years 10 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
183
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IJON
2002
15 years 6 months ago
2002
For a network of spiking neurons that encodes information in the timing of individual spike times, we derive a supervised learning rule, SpikeProp, akin to traditional errorbackpr...
293
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Publication
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
185
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing thi...
175
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...