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IJCNN
2008
IEEE
16 years 25 days ago
Ranking and selecting clustering algorithms using a meta-learning approach
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
Marcílio Carlos Pereira de Souto, Ricardo B...
SBRN
2008
IEEE
16 years 24 days ago
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
Patrícia M. Santos, Teresa Bernarda Ludermi...
BROADNETS
2006
IEEE
16 years 14 days ago
Multipath Selection in Multi-radio Mesh Networks
Research has shown that multi-radio multi-channel mesh networks provide significant capacity gains over single-radio mesh networks [10, 20, 21]. Traditional single path routing c...
Irfan Sheriff, Elizabeth M. Belding-Royer
IEEEICCI
2006
IEEE
16 years 13 days ago
Using Feature Selection Filtering Methods for Binding Site Predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we applied classification techniques on predictio...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
15 years 12 months ago
A multi-objective algorithm for DS-CDMA code design based on the clonal selection principle
This paper proposes a new algorithm based on the clonal selection principle for the design of spreading codes for DS-CDMA. The algorithm follows a multi-objective approach, genera...
Daniel Stevens, Sanjoy Das, Balasubramaniam Natara...