1548 search results - page 117 / 310 » Supervised Tensor Learning |
122
Voted
ICRA
2008
IEEE
15 years 9 months ago
2008
IEEE
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
224
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time consuming to acquire, or manually annotate, the training collection. Secondly, the da...
KDD
2006
ACM
16 years 3 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
111
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MICAI
2004
Springer
15 years 8 months ago
2004
Springer
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
104
Voted
COLT
2006
Springer
15 years 6 months ago
2006
Springer
We are interested in supervised ranking with the following twist: our goal is to design algorithms that perform especially well near the top of the ranked list, and are only requir...