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» Using Machine Learning Techniques to Interpret WH-questions
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TKDE
2008
123views more  TKDE 2008»
15 years 4 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
TMI
2010
101views more  TMI 2010»
15 years 2 months ago
Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions
— Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of in...
Fernando Vilariño, Panagiota Spyridonos, Fo...
ACL
2010
15 years 2 months ago
Demonstration of a Prototype for a Conversational Companion for Reminiscing about Images
This paper describes an initial prototype demonstrator of a Companion, designed as a platform for novel approaches to the following: 1) The use of Information Extraction (IE) tech...
Yorick Wilks, Roberta Catizone, Alexiei Dingli, We...
152
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ML
2002
ACM
167views Machine Learning» more  ML 2002»
15 years 3 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
159
Voted
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 2 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby