3050 search results - page 453 / 610 » On-line Algorithms in Machine Learning |
157
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ICANN
2005
Springer
15 years 10 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
131
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ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
152
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MCS
2009
Springer
15 years 11 months ago
2009
Springer
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
122
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ACCV
2009
Springer
15 years 11 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
132
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ICAIL
2003
ACM
15 years 10 months ago
2003
ACM
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...