335 search results - page 7 / 67 » Optimizing F-Measure with Support Vector Machines |
NIPS
1998
13 years 8 months ago
1998
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
AAAI
2006
13 years 9 months ago
2006
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
TIP
2008
13 years 7 months ago
2008
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
NN
2000
Springer
13 years 7 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...