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2010, ISBN 9789814271066, xv, 225
Book
Artificial Intelligence Review, ISSN 0269-2821, 2/2010, Volume 33, Issue 1, pp. 1 - 39
The idea of ensemble methodology is to build a predictive model by integrating multiple models. It is well-known that ensemble methods can be used for... 
Supervised learning | Computer Science | Classification | Artificial Intelligence (incl. Robotics) | Ensemble of classifiers | Boosting | Computer Science, general | NEURAL NETWORKS | ALGORITHM | DECOMPOSITION | EXPERTS | RANDOM SUBSPACE METHOD | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ACCURACY | MULTIPLE CLASSIFIERS | DECISION TREES | DIVERSITY
Journal Article
2008, ISBN 9812771719, xviii, 244
Book
Information Fusion, ISSN 1566-2535, 01/2016, Volume 27, pp. 111 - 125
A decision tree is a predictive model that recursively partitions the covariate’s space into subspaces such that each subspace constitutes a basis for a... 
Decision forest | Random forest | Decision tree | Classification tree | MINING DATA | ENSEMBLES | NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | PREDICTION | ACCURACY | TREES | COMPUTER SCIENCE, THEORY & METHODS | CLASSIFICATION PROBLEMS | ROTATION FOREST
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 2009, Volume 53, Issue 12, pp. 4046 - 4072
Ensemble methodology, which builds a classification model by integrating multiple classifiers, can be used for improving prediction performance. Researchers... 
REGRESSION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | COMBINING MULTIPLE CLASSIFIERS | DECISION TREES | DECOMPOSITION | NEURAL-NETWORK | STATISTICS & PROBABILITY | DIVERSITY | RANDOM SUBSPACE METHOD | COMBINATION | SELECTION | GENETIC ALGORITHM | Usage | Algorithms | Analysis | Bibliography
Journal Article
2008, Series in machine perception and artificial intelligence, ISBN 9812771719, Volume 69, xviii, 244
Book
2015, 2nd ed. 2015., ISBN 9781489976369
This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories,... 
Computer science | Information storage and retrieval | Artificial intelligence
Web Resource
Pattern Recognition, ISSN 0031-3203, 2008, Volume 41, Issue 5, pp. 1676 - 1700
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful,... 
Feature selection | Ensemble learning | Genetic algorithm | Feature set-partitioning | genetic algorithm | ensemble learning | FEATURE-SELECTION | feature set-partitioning | ENSEMBLES | DECOMPOSITION | DECISION FORESTS | feature selection | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
Computers & Security, ISSN 0167-4048, 03/2018, Volume 73, pp. 266 - 293
Journal Article
2012, Springer briefs in computer science, ISBN 1461420520
Web Resource
Web Resource
PloS one, ISSN 1932-6203, 2018, Volume 13, Issue 11, pp. e0208349 - e0208349
[This corrects the article DOI: 10.1371/journal.pone.0205499.]. 
RNA sequencing | RNA | Datasets | Ribonucleic acid--RNA | Transfer learning | Experiments | Classification | Gene sequencing | Ribonucleic acid
Journal Article
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