923 search results - page 57 / 185 » Requirements for Machine Lifelong Learning |
125
Voted
ML
2012
ACM
13 years 8 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
105
Voted
MST
2000
15 years 16 days ago
2000
A team of learning machines is a multiset of learning machines. A team is said to successfully learn a concept just in case each member of some nonempty subset, of predetermined s...
108
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ICML
2006
IEEE
16 years 1 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...
112
Voted
ALT
2008
Springer
15 years 9 months 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...
104
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...