474 search results - page 69 / 95 » Derivation of Knowledge Structures for Distributed Learning ... |
ICPR
2006
IEEE
14 years 10 months ago
2006
IEEE
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We introduce a family of kernels on discrete data structures within the general class of decomposition kernels. A weighted decomposition kernel (WDK) is computed by dividing objec...
ESANN
2007
13 years 10 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
HVEI
2009
13 years 6 months ago
2009
Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can gi...
TSP
2010
13 years 3 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...