495 search results - page 78 / 99 » Approximation algorithms for budgeted learning problems |
113
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MM
2004
ACM
15 years 3 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
173
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COMPGEOM
2011
ACM
14 years 1 months ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
ECML
1993
Springer
15 years 1 months ago
1993
Springer
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
84
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ATAL
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...