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A systematic evaluation of the benefits and hazards of variable selection in latent variable regression. Part I. Search algorithm, theory and simulations

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Outgoing claims: the papers this work cites, builds on, or argues with.

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A novel peak-hopping stepwise feature selection method with application to Raman spectroscopy1This paper is dedicated to the memory of Jean Thomas Clerc: scientist, editor, luminary, and dog breeder.1
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Genetic Algorithms as a Tool for Wavelength Selection in Multivariate Calibration
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GA Strategy for Variable Selection in QSAR Studies: GA-Based PLS Analysis of Calcium Channel Antagonists
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GA Strategy for Variable Selection in QSAR Studies: GA-Based Region Selection for CoMFA Modeling
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Novel Variable Selection Quantitative Structure−Property Relationship Approach Based on the k -Nearest-Neighbor Principle
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Development and Validation of a Novel Variable Selection Technique with Application to Multidimensional Quantitative Structure−Activity Relationship Studies
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Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
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Smart Region Definition: A New Way To Improve the Predictive Ability and Interpretability of Three-Dimensional Quantitative Structure−Activity Relationships
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Three-Dimensional Quantitative Structure−Activity Relationship Study of Nonsteroidal Estrogen Receptor Ligands Using the Comparative Molecular Field Analysis/Cross-Validated r2-Guided Region Selection Approach
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A comparison of heuristic search algorithms for molecular docking
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Evaluation of a novel infrared range vibration-based descriptor (EVA) for QSAR studies. 1. General application
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Prediction Error and Its Estimation for Subset-Selected Models
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Linear Model Selection by Cross-Validation
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Tabu search model selection in multiple regression analysis
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The Whim Theory: New 3D Molecular Descriptors for Qsar in Environmental Modelling
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A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods
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Cross-Validatory Choice and Assessment of Statistical Predictions (With Discussion)
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Subset Selection in Regression
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Heuristic Search Methods
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Model Selection Via Multifold Cross Validation
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Tabu Search—Part I
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Tabu Search—Part II
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Examination of Criteria for Local Model Principal Component Regression
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Applied Regression Analysis
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Classification and Regression Trees.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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