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TKDE
2008
123views more  TKDE 2008»
14 years 9 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
JCIT
2008
173views more  JCIT 2008»
14 years 9 months ago
A Multilevel Semantic Document Classifier Based On SVM Integrated With Domain Ontologies
A multilevel semantic document classification system based on Support Vector Machine (SVM) in association with domain ontologies has been developed. The documents related to the s...
Vijayasundaram Uma, Punnaivanam Sankar, Gnanasekar...
FLAIRS
2006
14 years 11 months ago
Dialog Act Classification Using N-Gram Algorithms
Speech act classification remains one of the challenges in natural language processing. This paper evaluates a classification system that assigns one of twelve dialog acts to an u...
Max M. Louwerse, Scott A. Crossley
WEBI
2007
Springer
15 years 3 months ago
Emotion Classification Using Web Blog Corpora
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...
Changhua Yang, Kevin Hsin-Yih Lin, Hsin-Hsi Chen
CORR
2008
Springer
159views Education» more  CORR 2008»
14 years 9 months ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: 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...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...