3250 search results - page 368 / 650 » Parameterized Learning Complexity |
127
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ECAI
2006
Springer
15 years 8 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...
144
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IJON
2002
15 years 4 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...
226
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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...
145
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CORR
2012
Springer
14 years 13 days 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...
132
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...