238 search results - page 5 / 48 » Separating Models of Learning from Correlated and Uncorrelat... |
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
JMLR
2010
13 years 3 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
BMCBI
2007
13 years 8 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...