Journal ArticleDOI
Robust regression and outlier detection for non-linear models using genetic algorithms
TLDR
In this work the feasibility of using genetic algorithms for LMS is demonstrated by means of curved analytical calibration and pharmacokinetic data contaminated with outliers.About:
This article is published in Chemometrics and Intelligent Laboratory Systems.The article was published on 1995-04-01. It has received 29 citations till now. The article focuses on the topics: Least trimmed squares & Robust regression.read more
Citations
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Journal ArticleDOI
Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.
Lennart Eriksson,Joanna Jaworska,Andrew Worth,Mark T. D. Cronin,Robert M McDowell,Paola Gramatica +5 more
TL;DR: This article provides an overview of methods for reliability assessment of quantitative structure-activity relationship (QSAR) models in the context of regulatory acceptance of human health and environmental QSARs.
Journal ArticleDOI
Pre-processing of hyperspectral images. Essential steps before image analysis
TL;DR: Some of the most common possibilities to solve the above mentioned issues before the image processing of hyperspectral images are shown, providing examples of their application, pros and cons as well as their implementation.
Journal ArticleDOI
Evolutionary algorithms in computer-aided molecular design
David E. Clark,David R. Westhead +1 more
TL;DR: The growing application of these ‘evolutionary algorithms’ in one such area: computer-aided molecular design is surveyed, seeking to summarise the work to date and indicate where evolutionary algorithms have met with success and where they have not fared so well.
Journal ArticleDOI
Outlier detection in multivariate analytical chemical data.
TL;DR: Both the proposed resampling by the half-means method and the smallest half-volume method are simple to use, are conceptually clear, and provide results superior to MVT and the current best-performing technique, MCD.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Genetic Algorithms + Data Structures = Evolution Programs
TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.
Book
Robust Regression and Outlier Detection
TL;DR: This paper presents the results of a two-year study of the statistical treatment of outliers in the context of one-Dimensional Location and its applications to discrete-time reinforcement learning.
Numerical Recipes in FORTRAN - The Art of Scientific Computing - Second Edition
TL;DR: This paper presents a list of recommended recipes for making CDRom decks and some examples of how these recipes can be modified to suit theommelier's needs.
Related Papers (5)
Understanding and using genetic algorithms Part 2. Representation, configuration and hybridization
C.B. Lucasius,G. Kateman +1 more