1291 search results - page 71 / 259 » Learning Rules from Distributed Data |
139
click to vote
ECML
2004
Springer
15 years 8 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
93
Voted
NIPS
1998
15 years 3 months ago
1998
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
162
click to vote
JMLR
2010
14 years 9 months ago
2010
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
107
Voted
CORR
2008
Springer
15 years 2 months ago
2008
Springer
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
152
click to vote
ACML
2009
Springer
15 years 7 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...