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» Arguing and Explaining Classifications
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KDD
1998
ACM
112views Data Mining» more  KDD 1998»
13 years 11 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
PAMI
2007
113views more  PAMI 2007»
13 years 7 months ago
Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields
—We formalize the notion of style context, which accounts for the increased accuracy of the field classifiers reported in this journal recently. We argue that style context forms...
Sriharsha Veeramachaneni, George Nagy
SAC
2008
ACM
13 years 7 months ago
Crime scene classification
In this paper we provide a study about crime scenes and its features used in criminal investigations. We argue that the crime scene provides a large set of features that can be us...
Ricardo O. Abu Hana, Cinthia Obladen de Almendra F...
ACCV
2006
Springer
13 years 9 months 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
CHI
2008
ACM
14 years 7 months ago
A solution to interface evolution issues: the multi-layer interface
Updating an operational system is often complex and awkward. In this article, we will explain how the concept of multi-layer interface could facilitate the evolution of operationa...
Bruno Merlin, Christophe Hurter, Raïlane Benh...