791 search results - page 21 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
IEEECIT
2010
IEEE
13 years 7 months ago
2010
IEEE
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
IAT
2006
IEEE
14 years 3 months ago
2006
IEEE
E-Learning is a fast, just-in-time, and non-linear learning process, which is now widely applied in distributed and dynamic environments such as on the World Wide Web. However, it...
AAAI
2011
12 years 9 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
AR
2011
13 years 4 months ago
2011
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...