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» Support Vector Machines for Multi-class Classification
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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 9 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
FLAIRS
2006
13 years 10 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
ICCV
2003
IEEE
14 years 10 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager
WEBI
2007
Springer
14 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
AIME
2009
Springer
14 years 27 days ago
The Role of Biomedical Dataset in Classification
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...
Ajay Kumar Tanwani, Muddassar Farooq