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KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 5 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
130
Voted
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 8 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
PRL
2008
147views more  PRL 2008»
15 years 4 months ago
Deformations, patches, and discriminative models for automatic annotation of medical radiographs
In this paper, we describe three different methods for the classification and annotation of medical radiographs. The methods were applied in the medical image annotation tasks of ...
Thomas Deselaers, Hermann Ney
CEC
2008
IEEE
15 years 11 months ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
166
Voted
VLDB
1999
ACM
145views Database» more  VLDB 1999»
15 years 8 months ago
DBMSs on a Modern Processor: Where Does Time Go?
Recent high-performance processors employ sophisticated techniques to overlap and simultaneously execute multiple computation and memory operations. Intuitively, these techniques ...
Anastassia Ailamaki, David J. DeWitt, Mark D. Hill...