Results 41 to 50 of about 5,039,055 (202)
Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS
Computational and Structural Biotechnology Journal, 2013 Basic chemometric methods for making empirical regression models for QSPR/QSAR are briefly described from a user's point of view. Emphasis is given to PLS regression, simple variable selection and a careful and cautious evaluation of the performance of ...
Kurt Varmuza +2 more
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Asymptotics of cross-validation
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques62 pages, 3 tables; typos and minor ...
Austern, Morgane, Zhou, Wenda
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, 2017 This text is a survey on cross-validation. We define all classical cross-validation procedures, and we study their properties for two different goals: estimating the risk of a given estimator, and selecting the best estimator among a given family. For the risk estimation problem, we compute the bias (which can also be corrected) and the variance of ...
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AnimalsThis study classified cows’ foraging behaviors using machine learning (ML) models evaluated through random test split (RTS) and cross-validation (CV) data partition methods.
Bashiri Iddy Muzzo +4 more
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, 1957 Part of the Stan Cross Archive of cartoons and drawings, 1912-1974.; Five copies of original drawing. "Greetings at Christmas 1957 From Stan and Jess Cross and Stephen"; Also available in an electronic version via the internet at: http://nla.gov.au/nla ...
Cross, Stan, 1888-1977.
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An analysis on classification models for customer churn prediction
Cogent EngineeringThe rapid expansion of technical infrastructure has brought about transformative changes in business operations. A notable consequence of this digital evolution is the proliferation of subscription-based services.
Kathi Chandra Mouli +7 more
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Use of gene expression data for predicting continuous phenotypes for animal production and breeding
Animal, 2008 Traits such as disease resistance are costly to evaluate and slow to improve using current methods. Analysis of gene expression profiles (e.g. DNA microarrays) has potential for predicting such phenotypes and has been used in an analogous way to classify
N. Robinson, M. Goddard, B. Hayes
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Aberrant behavior of preschool children: Evaluation of questionnaire [PDF]
Zbornik Instituta za pedagoška istraživanja, 2007 In the study metric characteristics of children aberrant behavior questionnaire were analyzed. The analysis was performed on the sample of 1.165 children, aged 4-7, in preschool institutions in several towns of Vojvodina.
Fajgelj Stanislav, Bala Gustav
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Efficient algorithms for robust generalized cross-validation spline smoothing [PDF]
, 2010 Generalized cross-validation (GCV) is a widely used parameter selection criterion for spline smoothing, but it can give poor results if the sample size n is not sufficiently large.
Anderssen, R.S. +5 more
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Breast Cancer Diagnosis Using Machine Learning and PSO
Tehnički GlasnikHealthcare systems around the world are facing huge challenges in responding to trends of the rise of chronic diseases. Early detection of breast cancer is essential for successful treatment since it is a common and potentially fatal condition.
Sarita Silaich, Rajesh Yadav
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