604 search results - page 18 / 121 » Regularization and feature selection for networked features |
141
Voted
ISMB
1993
15 years 4 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
124
Voted
ISNN
2007
Springer
15 years 9 months ago
2007
Springer
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
137
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ICIAP
2005
ACM
16 years 3 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
136
Voted
IJAIT
2006
15 years 3 months ago
2006
We present an efficient feature selection algorithm for computer aided detection (CAD) computed tomographic (CT) colonography. The algorithm 1) determines an appropriate piecewise...
143
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SSPR
2004
Springer
15 years 9 months ago
2004
Springer
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...