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118
Voted
ICPR
2008
IEEE
16 years 4 months ago
Separability of ternary Error-Correcting Output Codes
Error Correcting Output Codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers. In this paper, we pre...
Oriol Pujol, Petia Radeva, Sergio Escalera
147
Voted
ICML
2007
IEEE
16 years 4 months ago
Gradient boosting for kernelized output spaces
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
ICML
2008
IEEE
16 years 4 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
127
Voted
ICML
2000
IEEE
16 years 4 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
ISBI
2004
IEEE
16 years 4 months ago
Non-Rigid Image Transformation for Assessing Changes in Fluorescence Imaging Data of Molecular Activity in Time-Dependent Geomet
This paper presents an image processing framework for assessing molecular activity changes from fluorescent data in time-dependent geometries. The aim of our work is to provide th...
Kostas Marias, Stelios C. Orphanoudakis, Jorge Rip...