390 search results - page 54 / 78 » A Model of Inductive Bias Learning |
ECML
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
UAI
1998
13 years 10 months ago
1998
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
NECO
2002
13 years 8 months ago
2002
In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...
IJCAI
1989
13 years 9 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...