336 search results - page 30 / 68 » Learning with Equivalence Constraints and the Relation to Mu... |
IJCAI
1997
13 years 9 months ago
1997
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
AAAI
2007
13 years 10 months ago
2007
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
INTERACT
2003
13 years 9 months ago
2003
: The interactivity afforded to the learner by the computer based media is often fairly restricted. This may be by design choice but is often brought about by resource constraints....
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...