609 search results - page 9 / 122 » Discriminative Keyword Selection Using Support Vector Machin... |
PR
2010
13 years 6 months ago
2010
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
PR
2007
13 years 7 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
ICNC
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
COLING
2008
13 years 9 months ago
2008
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...