1405 search results - page 68 / 281 » Learning Instance-Specific Predictive Models |
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. We consider the problem of predicting how a user will continue a given initial text fragment. Intuitively, our goal is to develop a “tab-complete” function for natura...
JMLR
2010
13 years 3 months ago
2010
Causal learning methods are often evaluated in terms of their ability to discover a true underlying directed acyclic graph (DAG) structure. However, in general the true structure ...
MLMTA
2003
13 years 10 months ago
2003
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...
NN
2006
Springer
13 years 8 months ago
2006
Springer
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
ECML
2004
Springer
14 years 2 months ago
2004
Springer
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...