2712 search results - page 36 / 543 » On learning algorithm selection for classification |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
IAJIT
2007
13 years 8 months ago
2007
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
ECML
2003
Springer
14 years 2 months ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
ICALT
2006
IEEE
14 years 2 months ago
2006
IEEE
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...