502 search results - page 33 / 101 » Learning from General Label Constraints |
104
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AAAI
2000
14 years 11 months ago
2000
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
103
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IJCAI
2003
14 years 11 months ago
2003
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
NIPS
1990
14 years 10 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
105
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KDD
2008
ACM
15 years 10 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...