95 search results - page 3 / 19 » Reduction Techniques for Instance-Based Learning Algorithms |
ML
2000
ACM
13 years 6 months ago
2000
ACM
MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is abl...
ETS
2009
IEEE
2009
IEEE
Increasing Robustness of SAT-based Delay Test Generation Using Efficient Dynamic Learning Techniques
13 years 4 months ago
Due to the increased speed in modern designs, testing for delay faults has become an important issue in the postproduction test of manufactured chips. A high fault coverage is nee...
ECCV
2006
Springer
14 years 8 months ago
2006
Springer
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
As text corpora become larger, tradeoffs between speed and accuracy become critical: slow but accurate methods may not complete in a practical amount of time. In order to make the...
SAC
2006
ACM
14 years 5 days ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...