2252 search results - page 153 / 451 » A distributed machine learning framework |
154
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
139
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
106
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
128
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ALT
2008
Springer
16 years 3 days ago
2008
Springer
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model con...
136
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ML
2010
ACM
14 years 10 months ago
2010
ACM
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...