Sciweavers

336 search results - page 16 / 68
» Optimizing resources in model selection for support vector m...
Sort
View
ESANN
2007
13 years 8 months ago
Model Selection for Kernel Probit Regression
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
Gavin C. Cawley
BMCBI
2006
110views more  BMCBI 2006»
13 years 6 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
LREC
2010
157views Education» more  LREC 2010»
13 years 8 months ago
Is Sentiment a Property of Synsets? Evaluating Resources for Sentiment Classification using Machine Learning
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...
Aleksander Wawer
JCDL
2009
ACM
139views Education» more  JCDL 2009»
14 years 1 months ago
Topic model methods for automatically identifying out-of-scope resources
Recent years have seen the rise of subject-themed digital libraries, such as the NSDL pathways and the Digital Library for Earth System Education (DLESE). These libraries often ne...
Steven Bethard, Soumya Ghosh, James H. Martin, Tam...
IJCNN
2006
IEEE
14 years 23 days ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen