1419 search results - page 102 / 284 » Approximation Methods for Supervised Learning |
101
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
142
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CIVR
2008
Springer
15 years 2 months ago
2008
Springer
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
97
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CCIA
2005
Springer
15 years 6 months ago
2005
Springer
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...
107
Voted
SEAL
1998
Springer
15 years 4 months ago
1998
Springer
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...
129
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ECAI
2010
Springer
14 years 10 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...