1419 search results - page 221 / 284 » Approximation Methods for Supervised Learning |
121
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AAAI
2012
13 years 2 months ago
2012
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
102
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CDC
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
ATAL
2006
Springer
15 years 3 months ago
2006
Springer
We study the effects of various emergent topologies of interaction on the rate of language convergence in a population of communicating agents. The agents generate, parse, and lea...
114
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INTERSPEECH
2010
14 years 6 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
AAAI
2000
15 years 1 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...