1463 search results - page 76 / 293 » Feature selection based on the training set manipulation |
JAIR
2010
13 years 6 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
ML
2000
ACM
13 years 7 months ago
2000
ACM
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
IUI
2012
ACM
12 years 3 months ago
2012
ACM
One Feature (1F) is a simple and intuitive pruning strategy that reduces considerably the amount of computations required by Nearest-Neighbor gesture classifiers while still pres...
3DOR
2010
13 years 2 months ago
2010
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Progress in action recognition has been in large part due to advances in the features that drive learning-based methods. However, the relative sparsity of training data and the ri...