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» Classifier Selection Based on Data Complexity Measures
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GLOBECOM
2007
IEEE
15 years 4 months ago
Distributed On Demand Channel Selection in Multi Channel, Multi Interface Wireless Mesh Networks
—In this paper we present a protocol performing on demand distributed channel selection in multi channel, multi interface wireless mesh networks, based on the exchange of control...
Stefan Bouckaert, Nicolas Letor, Chris Blondia, In...
ARTMED
2007
347views more  ARTMED 2007»
14 years 10 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
EWCBR
2006
Springer
15 years 1 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
JMLR
2010
97views more  JMLR 2010»
14 years 4 months ago
Evaluation of a Bayesian model-based approach in GA studies
In a typical Genetic Association Study (GAS) several hundreds to millions of genomic variables are measured and tested for association with a given set of a phenotypic variables (...
Gábor Hullám, Peter Antal, Csaba Sza...
EWCBR
2006
Springer
15 years 1 months ago
Evaluating CBR Systems Using Different Data Sources: A Case Study
The complexity and high construction cost of case bases make it very difficult, if not impossible, to evaluate a CBR system, especially a knowledge-intensive CBR system, using stat...
Mingyang Gu, Agnar Aamodt