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ACCV
2006
Springer
14 years 24 days ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 10 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 8 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
CSCW
1996
ACM
14 years 3 months ago
Shared Spaces: Transportation, Artificiality, and Spatiality
We begin by reviewing current spatial approaches to CSCW (mediaspaces, spatial video conferencing, collaborative virtual environments and telepresence applications) and classifyin...
Steve Benford, Chris Brown, Gail Reynard, Chris Gr...
IDEAS
2007
IEEE
71views Database» more  IDEAS 2007»
14 years 5 months ago
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
Abhishek Srivastava, Osmar R. Zaïane, Maria-L...