323 search results - page 14 / 65 » New Algorithms for Learning in Presence of Errors |
ML
2007
ACM
13 years 7 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
ILP
2007
Springer
14 years 1 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
ICANN
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
STOC
2005
ACM
14 years 7 months ago
2005
ACM
This paper explores what kinds of information two parties must communicate in order to correct errors which occur in a shared secret string W. Any bits they communicate must leak ...