545 search results - page 24 / 109 » Support Vector Regression Using Mahalanobis Kernels |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
COLING
2008
13 years 10 months ago
2008
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
INCDM
2010
Springer
13 years 10 months ago
2010
Springer
We present rminer, our open source library for the R tool that facilitates the use of data mining (DM) algorithms, such as neural Networks (NNs) and support vector machines (SVMs),...