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Neural Network Studies. 2. Variable Selection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Limitations of Functional‐Link Nets as Applied to QSAR Data Analysis
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Statistics using neural networks: chance effects
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Fast generic selection of features for neural network classifiers
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inferredcites →https://doi.org/10.1162/neco.1994.6.6.1223openalex-snapshot
Pruning from Adaptive Regularization
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Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers
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Application of Docking Methodologies in QSAR-Based Studies
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Seasonal Adaptation of Vegetation Color in Satellite Images for Flight Simulations
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NeuroEvolutionary Feature Selection Using NEAT
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Feature Selection Methods in QSAR Studies
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Recent Applications of Quantitative Structure-Activity Relationships in Drug Design
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Learning with Feed-forward Neural Networks: Three Schemes to Deal with the Bias/Variance Trade-off
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Contribution à la caractérisation des profils de dangers physico-chimiques des liquides ioniques
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Nouveaux émollients biosourcés : modélisation, synthèse, propriétés physicochimiques et fonctionnelles
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