ISBN: 9783540475972
This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). … Mehr…
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ISBN: 9783540475972
This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). … Mehr…
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ISBN: 9783540475972
This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). … Mehr…
| Springer.com Nr. 978-3-540-47597-2. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00) Details... |
ISBN: 9783540475972
Computer Science; Artificial Intelligence (incl. Robotics) Genetic Algorithms, Genetische Algorithmen, Inductive Learning, Inductive Loigic, Induktives Lernen, Induktives Logisches Progra… Mehr…
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ISBN: 9783540475972
Computer Science; Artificial Intelligence (incl. Robotics) Genetic Algorithms, Genetische Algorithmen, Inductive Learning, Inductive Loigic, Induktives Lernen, Induktives Logisches Progra… Mehr…
| Springer.com Versandkosten:zzgl. Versandkosten. Details... |
ISBN: 9783540475972
This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). … Mehr…
ISBN: 9783540475972
This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). … Mehr…
ISBN: 9783540475972
This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). … Mehr…
ISBN: 9783540475972
Computer Science; Artificial Intelligence (incl. Robotics) Genetic Algorithms, Genetische Algorithmen, Inductive Learning, Inductive Loigic, Induktives Lernen, Induktives Logisches Progra… Mehr…
ISBN: 9783540475972
Computer Science; Artificial Intelligence (incl. Robotics) Genetic Algorithms, Genetische Algorithmen, Inductive Learning, Inductive Loigic, Induktives Lernen, Induktives Logisches Progra… Mehr…
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Detailangaben zum Buch - Machine Learning: ECML-93
EAN (ISBN-13): 9783540475972
Herausgeber: Springer Science+Business Media
Buch in der Datenbank seit 2017-05-05T15:35:30+02:00 (Vienna)
Detailseite zuletzt geändert am 2024-03-27T16:38:13+01:00 (Vienna)
ISBN/EAN: 9783540475972
ISBN - alternative Schreibweisen:
978-3-540-47597-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Titel des Buches: machine learning
Daten vom Verlag:
Autor/in: Pavel B. Brazdil
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Machine Learning: ECML-93 - European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993. Proceedings
Verlag: Springer; Springer Berlin
480 Seiten
Erscheinungsjahr: 2005-07-06
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XII, 480 p.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Genetic Algorithms; Genetische Algorithmen; Inductive Learning; Inductive Loigic; Induktives Lernen; Induktives Logisches Programmieren; Learnability; Lernbarkeit; complexity; complexity theory; heuristics; learning; machine learning; programming; proving; C; Artificial Intelligence; Computer Science; BC
FOIL: A midterm report.- Inductive logic programming: Derivations, successes and shortcomings.- Two methods for improving inductive logic programming systems.- Generalization under implication by using or-introduction.- On the proper definition of minimality in specialization and theory revision.- Predicate invention in inductive data engineering.- Subsumption and refinement in model inference.- Some lower bounds for the computational complexity of inductive logic programming.- Improving example-guided unfolding.- Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability.- Induction of recursive Bayesian classifiers.- Decision tree pruning as a search in the state space.- Controlled redundancy in incremental rule learning.- Getting order independence in incremental learning.- Feature selection using rough sets theory.- Effective learning in dynamic environments by explicit context tracking.- COBBIT—A control procedure for COBWEB in the presence of concept drift.- Genetic algorithms for protein tertiary structure prediction.- SIA: A supervised inductive algorithm with genetic search for learning attributes based concepts.- SAMIA: A bottom-up learning method using a simulated annealing algorithm.- Predicate invention in ILP — an overview.- Functional inductive logic programming with queries to the user.- A note on refinement operators.- An iterative and bottom-up procedure for proving-by-example.- Learnability of constrained logic programs.- Complexity dimensions and learnability.- Can complexity theory benefit from Learning Theory?.- Learning domain theories using abstract background knowledge.- Discovering patterns in EEG-signals: Comparative study of a few methods.- Learning to control dynamic systems with automatic quantization.- Refinement of rule sets with JoJo.- Rule combination in inductive learning.- Using heuristics to speed up induction on continuous-valued attributes.- Integrating models of knowledge and Machine Learning.- Exploiting context when learning to classify.- IDDD: An inductive, domain dependent decision algorithm.- An application of machine learning in the domain of loan analysis.- Extraction of knowledge from data using constrained neural networks.- Integrated learning architectures.- An overview of evolutionary computation.- ML techniques and text analysis.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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