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» Predicting relative performance of classifiers from samples
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ICAC
2005
IEEE
14 years 2 months ago
Towards Autonomic Virtual Applications in the In-VIGO System
Grid environments enable users to share non-dedicated resources that lack performance guarantees. This paper describes the design of application-centric middleware components to a...
Jing Xu, Sumalatha Adabala, José A. B. Fort...
GPEM
2008
128views more  GPEM 2008»
13 years 9 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
SIGSOFT
2009
ACM
14 years 9 months ago
Fair and balanced?: bias in bug-fix datasets
Software engineering researchers have long been interested in where and why bugs occur in code, and in predicting where they might turn up next. Historical bug-occurence data has ...
Christian Bird, Adrian Bachmann, Eirik Aune, John ...
AAAI
2011
12 years 9 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
CLEF
2009
Springer
13 years 6 months ago
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...