2903 search results - page 442 / 581 » The Dark Side of Object Learning: Learning Objects |
JAIR
1998
13 years 8 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
ML
2007
ACM
13 years 8 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
IJCAT
2010
13 years 7 months ago
2010
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
SMC
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...