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Publication DateBIOINFORMATICS, ISSN 1367-4803, 03/2017, Volume 33, Issue 5, pp. 640 - 649
Motivation: Orthology analysis is a fundamental tool in comparative genomics. Sophisticated methods have been developed to distinguish between orthologs and...
DUPLICATIONS | ACCURATE | EVOLUTION | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | OPERON PREDICTION | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | TREE | INFERENCE | HORIZONTAL GENE-TRANSFER | HOMOLOGY | LINEAGE | Genes, Bacterial | Algorithms | Software | Phylogeny | Genomics - methods | Bacteria - genetics | Sequence Homology, Nucleic Acid | Evolution, Molecular | Recomb-Cg 2016
DUPLICATIONS | ACCURATE | EVOLUTION | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | OPERON PREDICTION | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | TREE | INFERENCE | HORIZONTAL GENE-TRANSFER | HOMOLOGY | LINEAGE | Genes, Bacterial | Algorithms | Software | Phylogeny | Genomics - methods | Bacteria - genetics | Sequence Homology, Nucleic Acid | Evolution, Molecular | Recomb-Cg 2016
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Loading RightsWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, ISSN 1942-4787, 01/2011, Volume 1, Issue 1, pp. 14 - 23
Classification and regression trees are machine‐learning methods for constructing prediction models from data. The models are obtained by recursively...
COMPUTER SCIENCE, THEORY & METHODS | MODELS | VARIABLE SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ALGORITHM | Trees | Error analysis | Statistical analysis | Regression analysis | Data mining | Partitioning | Dependent variables | Classification | Machine learning | Predictions | Mathematical models | Graphical representations | Continuity (mathematics)
COMPUTER SCIENCE, THEORY & METHODS | MODELS | VARIABLE SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ALGORITHM | Trees | Error analysis | Statistical analysis | Regression analysis | Data mining | Partitioning | Dependent variables | Classification | Machine learning | Predictions | Mathematical models | Graphical representations | Continuity (mathematics)
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Loading Rights2008, 1. Aufl., Springer Texts in Statistics, ISBN 9780387781884, xxv, 731
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of...
Multivariate analysis | Problems, exercises, etc | Computational Biology/Bioinformatics | Pattern Recognition | Signal, Image and Speech Processing | Data Mining and Knowledge Discovery | Statistical Theory and Methods | Statistics | Probability and Statistics in Computer Science
Multivariate analysis | Problems, exercises, etc | Computational Biology/Bioinformatics | Pattern Recognition | Signal, Image and Speech Processing | Data Mining and Knowledge Discovery | Statistical Theory and Methods | Statistics | Probability and Statistics in Computer Science
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Machine Learning, ISSN 0885-6125, 7/2017, Volume 106, Issue 7, pp. 1039 - 1082
State-of-the-art decision tree methods apply heuristics recursively to create each split in isolation, which may not capture well the underlying...
Control, Robotics, Mechatronics | Computer Science | Classification | Artificial Intelligence (incl. Robotics) | Computing Methodologies | Simulation and Modeling | Decision trees | Language Translation and Linguistics | Mixed integer optimization | REGRESSION | SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Management science | Business schools | Machine learning | State of the art | Test procedures | Heuristic methods | Axes (reference lines) | Optimization | Training | Accuracy | Alignment | Data sets | Hyperplanes | Sampling methods | Hardware | Artificial intelligence | Heuristic
Control, Robotics, Mechatronics | Computer Science | Classification | Artificial Intelligence (incl. Robotics) | Computing Methodologies | Simulation and Modeling | Decision trees | Language Translation and Linguistics | Mixed integer optimization | REGRESSION | SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Management science | Business schools | Machine learning | State of the art | Test procedures | Heuristic methods | Axes (reference lines) | Optimization | Training | Accuracy | Alignment | Data sets | Hyperplanes | Sampling methods | Hardware | Artificial intelligence | Heuristic
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Loading Rights1977, Bibliothéconomie et documentation, Volume 11, 2 v. (204 leaves)
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1984, ISBN 9780534980535, x, 358
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1998, ISBN 0412048418, x, 358
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IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 07/2011, Volume 23, Issue 7, pp. 1079 - 1089
A simple yet effective multilabel learning method, called label powerset (LP), considers each distinct combination of labels that exist in the training set as...
Learning systems | multilabel | labelset | Classification | Predictive models | Prediction algorithms | Complexity theory | Decision trees | Categorization | ensembles | classification | TEXT CATEGORIZATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | RANKING | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Technology application | Usage | Neural networks | Machine learning | Transformations (Mathematics) | Graph theory | Design and construction | Methods | Studies | Learning | Training | Trains | Tasks | Strategy | Labels | Computational efficiency
Learning systems | multilabel | labelset | Classification | Predictive models | Prediction algorithms | Complexity theory | Decision trees | Categorization | ensembles | classification | TEXT CATEGORIZATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | RANKING | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Technology application | Usage | Neural networks | Machine learning | Transformations (Mathematics) | Graph theory | Design and construction | Methods | Studies | Learning | Training | Trains | Tasks | Strategy | Labels | Computational efficiency
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Loading RightsEcology, ISSN 0012-9658, 11/2007, Volume 88, Issue 11, pp. 2783 - 2792
Classification procedures are some of the most widely used statistical methods in ecology. Random forests (RF) is a new and powerful statistical classifier...
Trees | Logistic regression | Estimate reliability | Bird nesting | Invasive species | Ecological modeling | Forest ecology | Ecological invasion | Information classification | Ecology | species distribution models | LDA | partial dependence plots | random forests | logistic regression | machine learning | additive logistic regression | classification trees | Species distribution models | Classification trees | Partial dependence plots | Machine learning | Random forests | Additive logistic regression | SPECIES DISTRIBUTION | MODELS | LANDSCAPE | ECOLOGY | Models, Theoretical | Data Interpretation, Statistical | Demography | Species Specificity | Logistic Models | Models, Statistical | Trees - growth & development | Ecology - methods | Algorithms | Animals | Ecosystem | Population Density | Birds - growth & development | Population Dynamics | Plants | Identification and classification | Ecological research | Nomenclature | Methods | Botany
Trees | Logistic regression | Estimate reliability | Bird nesting | Invasive species | Ecological modeling | Forest ecology | Ecological invasion | Information classification | Ecology | species distribution models | LDA | partial dependence plots | random forests | logistic regression | machine learning | additive logistic regression | classification trees | Species distribution models | Classification trees | Partial dependence plots | Machine learning | Random forests | Additive logistic regression | SPECIES DISTRIBUTION | MODELS | LANDSCAPE | ECOLOGY | Models, Theoretical | Data Interpretation, Statistical | Demography | Species Specificity | Logistic Models | Models, Statistical | Trees - growth & development | Ecology - methods | Algorithms | Animals | Ecosystem | Population Density | Birds - growth & development | Population Dynamics | Plants | Identification and classification | Ecological research | Nomenclature | Methods | Botany
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Loading RightsIEEE Transactions on Evolutionary Computation, ISSN 1089-778X, 10/2007, Volume 11, Issue 5, pp. 651 - 665
Ant colony optimization (ACO) can be applied to the data mining field to extract rule-based classifiers. The aim of this paper is twofold. On the one hand, we...
Ant colony optimization | Decision making | Humans | comprehensibility | Data mining | Medical diagnosis | classification | Support vector machines | rule list | Neural networks | {\cal M}{\cal A}{\cal X} - {\cal M}{\cal I}{\cal N} ant system | Support vector machine classification | Ant colony optimization (ACO) | Classification tree analysis | Biomedical engineering | Comprehensibility | MAX-MIN ant system | Classification | Rule list | SYSTEM | COMPUTER SCIENCE, THEORY & METHODS | ant colony optimization (ACO) | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Studies | Colonies | Dynamics | Benchmarking | Inclusions | Dynamical systems | Optimization
Ant colony optimization | Decision making | Humans | comprehensibility | Data mining | Medical diagnosis | classification | Support vector machines | rule list | Neural networks | {\cal M}{\cal A}{\cal X} - {\cal M}{\cal I}{\cal N} ant system | Support vector machine classification | Ant colony optimization (ACO) | Classification tree analysis | Biomedical engineering | Comprehensibility | MAX-MIN ant system | Classification | Rule list | SYSTEM | COMPUTER SCIENCE, THEORY & METHODS | ant colony optimization (ACO) | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Studies | Colonies | Dynamics | Benchmarking | Inclusions | Dynamical systems | Optimization
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Loading RightsJOURNAL OF CHEMICAL INFORMATION AND MODELING, ISSN 1549-9596, 05/2019, Volume 59, Issue 5, pp. 2442 - 2455
Permeability is used to describe and evaluate the absorption of drug substances in the human gastro-intestinal tract (GIT). Permeability is largely dependent...
CHEMISTRY, MEDICINAL | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | CHEMICALS | DRUGS | HUMAN INTESTINAL-ABSORPTION | COMPUTER SCIENCE, INFORMATION SYSTEMS | ARTIFICIAL MEMBRANE | CHEMISTRY, MULTIDISCIPLINARY | Octanol | Variations | Permeability | Hydrophobicity | Regression analysis | Decision analysis | Model accuracy | Accuracy | Absorption | Decision theory | Ionization | Gastrointestinal system | Classification | Predictions | Decision trees
CHEMISTRY, MEDICINAL | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | CHEMICALS | DRUGS | HUMAN INTESTINAL-ABSORPTION | COMPUTER SCIENCE, INFORMATION SYSTEMS | ARTIFICIAL MEMBRANE | CHEMISTRY, MULTIDISCIPLINARY | Octanol | Variations | Permeability | Hydrophobicity | Regression analysis | Decision analysis | Model accuracy | Accuracy | Absorption | Decision theory | Ionization | Gastrointestinal system | Classification | Predictions | Decision trees
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Loading RightsInternational Statistical Review, ISSN 0306-7734, 12/2014, Volume 82, Issue 3, pp. 329 - 348
Fifty years have passed since the publication of the first regression tree algorithm. New techniques have added capabilities that far surpass those of the...
prediction | regression trees | Classification trees | machine learning | Regression trees | Machine learning | Prediction | LOGISTIC-REGRESSION | BIAS | SURVIVAL TREES | STATISTICS & PROBABILITY | MULTIVARIATE REGRESSION | MODEL | SPLIT SELECTION | DECISION TREE | ENSEMBLE METHODS | RECURSIVE PARTITION | VARIABLE IMPORTANCE | Partitions | Statistical analysis | Algorithms | Classification | Mathematical models | Regression analysis | Density | Computer programs
prediction | regression trees | Classification trees | machine learning | Regression trees | Machine learning | Prediction | LOGISTIC-REGRESSION | BIAS | SURVIVAL TREES | STATISTICS & PROBABILITY | MULTIVARIATE REGRESSION | MODEL | SPLIT SELECTION | DECISION TREE | ENSEMBLE METHODS | RECURSIVE PARTITION | VARIABLE IMPORTANCE | Partitions | Statistical analysis | Algorithms | Classification | Mathematical models | Regression analysis | Density | Computer programs
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Loading RightsIEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 05/2014, Volume 25, Issue 5, pp. 845 - 869
Label noise is an important issue in classification, with many potential negative consequences. For example, the accuracy of predictions may decrease, whereas...
Context | Noise | Taxonomy | Class noise | Noise measurement | classification | Training | mislabeling | robust methods | label noise | survey | Labeling | Reliability | SUPPORT VECTOR MACHINES | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | OUTLIER DETECTION | LOGISTIC-REGRESSION | LINEAR DISCRIMINANT-ANALYSIS | REDUCTION TECHNIQUES | DOCUMENT CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | NEAREST-NEIGHBOR CLASSIFICATION | DECISION TREES | BOOSTING ALGORITHMS | COMPUTER SCIENCE, THEORY & METHODS | INITIAL SAMPLES | Measurement | Usage | Algorithms | Neural networks | Analysis | Design of experiments | Learning | Categories | Classification | Labels
Context | Noise | Taxonomy | Class noise | Noise measurement | classification | Training | mislabeling | robust methods | label noise | survey | Labeling | Reliability | SUPPORT VECTOR MACHINES | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | OUTLIER DETECTION | LOGISTIC-REGRESSION | LINEAR DISCRIMINANT-ANALYSIS | REDUCTION TECHNIQUES | DOCUMENT CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | NEAREST-NEIGHBOR CLASSIFICATION | DECISION TREES | BOOSTING ALGORITHMS | COMPUTER SCIENCE, THEORY & METHODS | INITIAL SAMPLES | Measurement | Usage | Algorithms | Neural networks | Analysis | Design of experiments | Learning | Categories | Classification | Labels
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Loading RightsIEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 05/2018, Volume 29, Issue 5, pp. 1774 - 1785
Training | Learning systems | Technological innovation | k nearest neighbor (kNN) classification">
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Loading RightsAnnals of Botany, ISSN 0305-7364, 2014, Volume 113, Issue 4, pp. 571 - 594
Throughout the history of fern classification, familial and generic concepts have been highly labile. Many classifications and evolutionary schemes have been...
homology | convergence | cryptogams | Polypodiaceae | pteridophytes | classification | Cyatheaceae | monilophytes | history of botany | ferns | lycopods | fern family concepts | Bibliography | fern allies | PLASTID DNA | CHLOROPLAST DNA | FILMY FERNS | MOLECULAR PHYLOGENY | GENE-SEQUENCES | MONOPHYLETIC GROUPS | PHYLOGENETIC-RELATIONSHIPS | CHEILANTHOID FERNS | TREE FERNS | PLANT SCIENCES | TAXONOMIC REVISION | Ferns - classification | Ferns - genetics | Sequence Alignment | Lycopodiaceae - classification | Plant Leaves - genetics | Equisetum - classification | Lycopodiaceae - genetics | Phylogeny | Equisetum - genetics | Sequence Analysis, DNA |
homology | convergence | cryptogams | Polypodiaceae | pteridophytes | classification | Cyatheaceae | monilophytes | history of botany | ferns | lycopods | fern family concepts | Bibliography | fern allies | PLASTID DNA | CHLOROPLAST DNA | FILMY FERNS | MOLECULAR PHYLOGENY | GENE-SEQUENCES | MONOPHYLETIC GROUPS | PHYLOGENETIC-RELATIONSHIPS | CHEILANTHOID FERNS | TREE FERNS | PLANT SCIENCES | TAXONOMIC REVISION | Ferns - classification | Ferns - genetics | Sequence Alignment | Lycopodiaceae - classification | Plant Leaves - genetics | Equisetum - classification | Lycopodiaceae - genetics | Phylogeny | Equisetum - genetics | Sequence Analysis, DNA |