2681 search results - page 281 / 537 » Learning to learn with the informative vector machine |
143
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
167
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
197
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
168
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
180
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ICML
1997
IEEE
16 years 7 months ago
1997
IEEE
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...