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Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, 12/2016, Volume 159, pp. 108 - 126
Quantitative structure–activity relationship (QSAR) modeling is a widely used computational technique applied in various fields including rational drug design,... 
Validation set | Double cross-validation | QSPR | QSAR | Prediction errors
Journal Article
World Development, ISSN 0305-750X, 02/2020, Volume 126, p. 104708
Research on the effect of climate change on violent armed conflict relies almost exclusively on analysing annual variation in climatic conditions. A... 
Civil conflict | Climate change | Bayesian model averaging | Cross-validation | Africa
Journal Article
Analytical Methods, ISSN 1759-9660, 2014, Volume 6, Issue 9, pp. 2812 - 2831
Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. This paper provides a... 
Journal Article
Analytical Methods, ISSN 1759-9660, 05/2014, Volume 6, Issue 9, pp. 2812 - 2831
Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. This paper provides a... 
CHEMISTRY, ANALYTICAL | NUMBER | ROBUSTNESS | FOOD SCIENCE & TECHNOLOGY | CLASSIFICATION | MULTIVARIATE CALIBRATION | PCA | LINEAR TREND | EIGENVALUES | BOOTSTRAP | SPECTROSCOPY | MATRICES | CROSS-VALIDATION
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 12/2010, Volume 11, pp. 3571 - 3594
In regular statistical models, the leave-one-out cross-validation is asymptotically equivalent to the Akaike information criterion. However, since many... 
Singular learning machine | Birational invariant | Information criterion | Cross-validation | REGRESSION | MACHINES | birational invariant | MODEL SELECTION | cross-validation | information criterion | NETWORKS | STOCHASTIC COMPLEXITY | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | singular learning machine
Journal Article
Drug Discovery Today, ISSN 1359-6446, 01/2019, Volume 24, Issue 1, pp. 31 - 36
Reproducible and generalizable gene signatures are essential for clinical deployment, but are hard to come by. The primary issue is insufficient mitigation of... 
CROSS-VALIDATION | PHARMACOLOGY & PHARMACY | REPRODUCIBILITY | Genes | Analysis
Journal Article
Journal of Biopharmaceutical Statistics, ISSN 1054-3406, 07/2019, Volume 29, Issue 4, pp. 685 - 695
We consider the problem of estimating a biomarker-based subgroup and testing for treatment effect in the overall population and in the subgroup after the... 
biomarker | Subgroup | cross-validation
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 2012, Volume 26, pp. 225 - 238
The new user cold start issue represents a serious problem in recommender systems as it can lead to the loss of new users who decide to stop using the system... 
Neural learning | Collaborative filtering | Similarity measures | Leave-one-out-cross validation | Cold start | Recommender systems | RECOMMENDER | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal of Biogeography, ISSN 0305-0270, 04/2014, Volume 41, Issue 4, pp. 629 - 643
Aim Models of species niches and distributions have become invaluable to biogeographers over the past decade, yet several outstanding methodological issues... 
evaluation | Heteromys | South America | overfitting | Maxent | tuning | rodent | Cross validation | niche | smoothing | Evaluation | Smoothing | Niche | Rodent | Tuning | Overfitting | NICHE MODELS | PERFORMANCE | TRANSFERABILITY | VALIDATION | CLIMATE-CHANGE | GEOGRAPHY, PHYSICAL | SAMPLE SELECTION BIAS | INVASIONS | ECOLOGY | IMPACTS | ENVELOPE MODELS | RANGE | Discrimination in insurance | Analysis | Models
Journal Article
JOURNAL OF CHEMICAL INFORMATION AND MODELING, ISSN 1549-9596, 07/2009, Volume 49, Issue 7, pp. 1669 - 1678
This paper deals with the problem of evaluating the predictive ability of QSAR models and continues the discussion about proper estimates of the predictive... 
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | TEST SETS | MODELS | CROSS-VALIDATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | EXTERNAL VALIDATION | SELECTION | CHEMISTRY, MULTIDISCIPLINARY | PREDICTION
Journal Article
Journal of Computational and Applied Mathematics, ISSN 0377-0427, 08/2019, p. 112416
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 04/2018, Volume 120, pp. 70 - 83
One of the most widely used standard procedures for model evaluation in classification and regression is -fold cross-validation (CV). However, when it comes to... 
Autoregression | Cross-validation | Time series | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | Usage | Analysis | Machine learning
Journal Article
Journal of Theoretical Biology, ISSN 0022-5193, 11/2015, Volume 384, pp. 78 - 83
Membrane protein is a major constituent of cell, performing numerous crucial functions in the cell. These functions are mostly concerned with membrane... 
VFI | SVM | 10-fold cross validation | Membrane proteins
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 03/2003, Volume 3, pp. 1371 - 1382
Journal Article
Pattern Recognition, ISSN 0031-3203, 09/2015, Volume 48, Issue 9, pp. 2839 - 2846
Classification is an essential task for predicting the class values of new instances. Both -fold and leave-one-out cross validation are very popular for... 
k-Fold cross validation | Classification | Independence | Leave-one-out cross validation | Sampling distribution | VARIANCE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
Journal Article
Statistics and Computing, ISSN 0960-3174, 08/2016, Volume 27, Issue 5, pp. 1413 - 1432
Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise out-of-sample prediction... 
Stan | Widely applicable information criterion (WAIC) | Bayesian computation | Pareto smoothed importance sampling (PSIS) | Leave-one-out cross-validation (LOO) | K-fold cross-validation | STATISTICS & PROBABILITY | COMPUTER SCIENCE, THEORY & METHODS | Computer science | Analysis | Models
Journal Article
Perspectives on Psychological Science, ISSN 1745-6916, 11/2017, Volume 12, Issue 6, pp. 1100 - 1122
Psychology has historically been concerned, first and foremost, with explaining the causal mechanisms that give rise to behavior. Randomized, tightly... 
prediction | explanation | machine learning | PERSONALITY | BIAS | POLYMORPHISM | LINEAR-MODELS | PSYCHOLOGY, MULTIDISCIPLINARY | STATISTICAL POWER | MODEL SELECTION | CROSS-VALIDATION | CONSEQUENCES | ARCHITECTURE | REGRESSION SHRINKAGE | Psychology - methods | Machine Learning | Humans | Learning | Accuracy | Behavior | Artificial intelligence | Psychology
Journal Article
Economics Letters, ISSN 0165-1765, 01/2019, Volume 174, pp. 65 - 69
Considering model averaging estimation under multinomial and ordered logit models, we propose a weight choice method by minimizing an [Formula presented]-fold... 
Asymptotically optimality | Cross-validation | Model averaging | Computational cost
Journal Article
Computers and Geosciences, ISSN 0098-3004, 2008, Volume 34, Issue 9, pp. 1044 - 1055
Journal Article
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