Sciweavers

3716 search results - page 14 / 744
» On the monotonization of the training set
Sort
View
ADCS
2004
13 years 8 months ago
Co-Training on Textual Documents with a Single Natural Feature Set
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
Jason Chan, Irena Koprinska, Josiah Poon
DATE
2009
IEEE
105views Hardware» more  DATE 2009»
14 years 1 months ago
Enrichment of limited training sets in machine-learning-based analog/RF test
Abstract— This paper discusses the generation of informationrich, arbitrarily-large synthetic data sets which can be used to (a) efficiently learn tests that correlate a set of ...
Haralampos-G. D. Stratigopoulos, Salvador Mir, Yio...
ICONIP
2007
13 years 8 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor
FUZZY
2004
Springer
148views Fuzzy Logic» more  FUZZY 2004»
14 years 3 days ago
Co-evolving Multilayer Perceptrons Along Training Sets
Maribel García Arenas, Pedro A. Castillo Va...
ICDAR
2003
IEEE
14 years 13 hour ago
Using tree-grammars for training set expansion in page classification
Stefano Baldi, Simone Marinai, Giovanni Soda