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DATAMINE
1998
13 years 4 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
MCS
2002
Springer
13 years 4 months ago
2002
Springer
NIPS
1996
13 years 5 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
NIPS
2001
13 years 6 months ago
2001
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
NIPS
2003
13 years 6 months ago
2003
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...