1648 search results - page 64 / 330 » Training Data Selection for Support Vector Machines |
124
Voted
AIRS
2006
Springer
15 years 4 months ago
2006
Springer
Automatic text chunking is a task which aims to recognize phrase structures in natural language text. It is the key technology of knowledge-based system where phrase structures pro...
123
Voted
JCP
2008
15 years 16 days ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
143
Voted
ML
2008
ACM
15 years 15 days ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
91
Voted
FGR
2004
IEEE
15 years 4 months ago
2004
IEEE
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
99
Voted
ESANN
2007
15 years 2 months ago
2007
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...