68 search results - page 13 / 14 » Inductive Principles for Restricted Boltzmann Machine Learni... |
CF
2007
ACM
13 years 11 months ago
2007
ACM
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
IJCAI
1989
13 years 8 months ago
1989
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
ALT
2003
Springer
14 years 4 months ago
2003
Springer
Solomonoff unified Occam’s razor and Epicurus’ principle of multiple explanations to one elegant, formal, universal theory of inductive inference, which initiated the field...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...