1419 search results - page 221 / 284 » Approximation Methods for Supervised Learning |
AAAI
2012
12 years 11 days 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...
CDC
2009
IEEE
14 years 2 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
14 years 1 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...
INTERSPEECH
2010
13 years 4 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
13 years 11 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 ...