524 search results - page 37 / 105 » The Support Feature Machine for Classifying with the Least N... |
CSL
2006
Springer
13 years 8 months ago
2006
Springer
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
BIBE
2007
IEEE
14 years 2 months ago
2007
IEEE
—Interactions between transcription factors (TFs) are necessary for deciphering the complex mechanisms of transcription regulation in eukaryotes. In this paper, we proposed a nov...
SAC
2008
ACM
13 years 7 months ago
2008
ACM
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
NECO
1998
13 years 7 months ago
1998
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...