93 search results - page 5 / 19 » Maximal Discrepancy for Support Vector Machines |
BMCBI
2005
13 years 7 months ago
2005
Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
NIPS
2008
13 years 8 months ago
2008
In classification problems, Support Vector Machines maximize the margin of separation between two classes. While the paradigm has been successful, the solution obtained by SVMs is...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
IJCAI
2007
13 years 8 months ago
2007
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper describes a unique approach of applying a pattern classification technique to robot path planning. A collision-free path connecting a start and a goal point provide...