1134 search results - page 25 / 227 » Sequential Inductive Learning |
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
JAIR
2000
13 years 9 months ago
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
ISMDA
2003
Springer
14 years 3 months ago
2003
Springer
Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semi-automatic learni...
APIN
1999
13 years 9 months ago
1999
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...
NIPS
2000
13 years 11 months ago
2000
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...