6113 search results - page 115 / 1223 » Learning Features for Tracking |
100
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CORR
2002
Springer
15 years 2 months ago
2002
Springer
In this paper, we review five heuristic strategies for handling context-sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost...
97
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
144
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LREC
2008
15 years 3 months ago
2008
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
106
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ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
113
Voted
ECAI
2008
Springer
15 years 4 months ago
2008
Springer
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...