135 search results - page 12 / 27 » A Database-Hadoop Hybrid Approach to Scalable Machine Learni... |
145
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CORR
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
160
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ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
125
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
141
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
181
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ICDE
2012
IEEE
13 years 6 months ago
2012
IEEE
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...