68 search results - page 12 / 14 » Inductive Principles for Restricted Boltzmann Machine Learni... |
COLT
2007
Springer
13 years 11 months ago
2007
Springer
We study generalized bootstrapped confidence regions for the mean of a random vector whose coordinates have an unknown dependence structure, with a non-asymptotic control of the co...
ALT
2008
Springer
14 years 4 months ago
2008
Springer
Gold’s original paper on inductive inference introduced a notion of an optimal learner. Intuitively, a learner identifies a class of objects optimally iff there is no other lea...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
AII
1992
13 years 11 months ago
1992
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
ML
1998
ACM
13 years 7 months ago
1998
ACM
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...