1662 search results - page 64 / 333 » Generation of Attributes for Learning Algorithms |
NIPS
2000
13 years 10 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
MCS
2004
Springer
14 years 2 months ago
2004
Springer
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
SMA
2003
ACM
14 years 2 months ago
2003
ACM
The presented approach to discretization of functionally defined heterogeneous objects is oriented towards applications associated with numerical simulation procedures, for exampl...
JMLR
2002
13 years 8 months ago
2002
A fundamental open problem in computational learning theory is whether there is an attribute efficient learning algorithm for the concept class of decision lists (Rivest, 1987; Bl...