2363 search results - page 171 / 473 » Learning Algorithms for Domain Adaptation |
123
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ESANN
2008
15 years 4 months ago
2008
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
150
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NIPS
2003
15 years 4 months ago
2003
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...
115
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COLT
2004
Springer
15 years 8 months ago
2004
Springer
We give an algorithm for the bandit version of a very general online optimization problem considered by Kalai and Vempala [1], for the case of an adaptive adversary. In this proble...
135
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ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
134
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ECCV
2004
Springer
16 years 5 months ago
2004
Springer
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...