7378 search results - page 348 / 1476 » Introduction to Machine Learning |
173
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ICALT
2005
IEEE
16 years 12 days ago
2005
IEEE
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
181
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ML
2002
ACM
15 years 6 months ago
2002
ACM
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
189
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AIIDE
2008
15 years 9 months ago
2008
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
176
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
220
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JMLR
2006
15 years 6 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...