364 search results - page 28 / 73 » On the generalization of soft margin algorithms |
ML
2000
ACM
13 years 9 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,...
COLT
2000
Springer
14 years 1 months ago
2000
Springer
This paper collects together a miscellany of results originally motivated by the analysis of the generalization performance of the “maximum-margin” algorithm due to Vapnik and...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
We consider trellis-based algorithms for data estimation in digital communication systems. We present a general framework which includes approximate Viterbi algorithms like the M-...
DAGSTUHL
2007
13 years 10 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
ROCAI
2004
Springer
14 years 2 months ago
2004
Springer
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...