701 search results - page 50 / 141 » Self Bounding Learning Algorithms |
TIT
2002
13 years 9 months ago
2002
Principal curves, like principal components, are a tool used in multivariate analysis for ends like feature extraction. Defined in their original form, principal curves need not ex...
NIPS
2001
13 years 11 months ago
2001
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
JAIR
2010
13 years 8 months ago
2010
Binary Decision Diagram (BDD) based set bounds propagation is a powerful approach to solving set-constraint satisfaction problems. However, prior BDD based techniques incur the si...
DMIN
2010
13 years 7 months ago
2010
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
AIPS
2008
14 years 19 hour ago
2008
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...