Sciweavers

23 search results - page 1 / 5
» Document Classification By Machine: Theory and Practice
Sort
View
COLING
1994
13 years 6 months ago
Document Classification By Machine: Theory and Practice
In this note, we present results concerning the theory and practice of determining for a given document which of several categories it best fits. We describe a mathematical model ...
Louise Guthrie, Elbert A. Walker
SIGDOC
2003
ACM
13 years 10 months ago
Beyond theory: making single-sourcing actually work
In this paper, I discuss how we made single-sourcing work at Juniper Networks. This is a practical discussion of issues, problems, and successes. Categories and Subject Descriptor...
Liz Fraley
ML
2000
ACM
124views Machine Learning» more  ML 2000»
13 years 4 months ago
Text Classification from Labeled and Unlabeled Documents using EM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
ICML
2000
IEEE
14 years 5 months ago
Less is More: Active Learning with Support Vector Machines
We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification ta...
Greg Schohn, David Cohn
ISTA
2003
13 years 6 months ago
Support Vector Machine Parameter Optimization for Text Categorization Problems
: This paper analyzes the influence of different parameters of Support Vector Machine (SVM) on text categorization performance. The research is carried out on different text collec...
Mikhail S. Ageev, Boris V. Dobrov