363 search results - page 30 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
151
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JMLR
2012
13 years 4 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
119
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VR
2002
IEEE
15 years 7 months ago
2002
IEEE
In this paper, we introduce DLoVe, a new paradigm for designing and implementing distributed and nondistributed virtual reality applications, using one-way constraints. DLoVe allo...
146
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
126
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ICML
2006
IEEE
16 years 3 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...
119
Voted
ALT
2008
Springer
15 years 11 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...