93 search results - page 1 / 19 » Adjusted support vector machines based on a new loss functio... |
ANOR
2010
13 years 4 months ago
2010
ADMA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
ESANN
2000
13 years 6 months ago
2000
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
CIKM
2004
Springer
13 years 10 months ago
2004
Springer
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...