1648 search results - page 130 / 330 » Training Data Selection for Support Vector Machines |
ICDM
2003
IEEE
14 years 2 months ago
2003
IEEE
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow seman...
BMCBI
2008
13 years 9 months ago
2008
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
ESANN
2006
13 years 10 months ago
2006
We propose an efficient forward regression algorithm based on greedy optimization of marginal likelihood. It can be understood as a forward selection procedure which adds a new bas...
JMLR
2002
13 years 9 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
IJCAI
2007
13 years 10 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...