348 search results - page 30 / 70 » Classification of Cell Fates with Support Vector Machine Lea... |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
A new class of nonparametric algorithms for high-dimensional binary classification is proposed using cascades of low dimensional polynomial structures. Construction of polynomial ...
DCC
2009
IEEE
14 years 9 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
AIME
2009
Springer
14 years 1 months ago
2009
Springer
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
WEBI
2007
Springer
14 years 3 months ago
2007
Springer
In this paper, we investigate the emotion classification of web blog corpora using support vector machine (SVM) and conditional random field (CRF) machine learning techniques. The...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...