1172 search results - page 46 / 235 » From Data Distributions to Regularization in Invariant Learn... |
ICML
2002
IEEE
15 years 7 months ago
2002
IEEE
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
COLT
1992
Springer
14 years 10 months ago
1992
Springer
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
ICGI
1998
Springer
14 years 10 months ago
1998
Springer
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
COLT
2005
Springer
14 years 8 months ago
2005
Springer
Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
ICML
2009
IEEE
15 years 7 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...