Meta-Learning in Decision Tree Induction, Krzysztof Gr?bczewski
Автор: Krzysztof Gr?bczewski Название: Meta-Learning in Decision Tree Induction ISBN: 331937723X ISBN-13(EAN): 9783319377230 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses decision tree induction, reviewing techniques used in decision tree learning, and ensemble methods that involve decision trees. The second half reviews meta-learning approaches, including many that provide a ranking of algorithms.
Автор: Evangelos Triantaphyllou; Giovanni Felici Название: Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques ISBN: 1441941738 ISBN-13(EAN): 9781441941732 Издательство: Springer Рейтинг: Цена: 222670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications.
Автор: Hantao Zhang Название: Automated Mathematical Induction ISBN: 0792340108 ISBN-13(EAN): 9780792340102 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It has been shown how the common structure that defines a family of proofs can be expressed as a proof plan [5]. A proof plan has two complementary components: a proof method and a proof tactic. By prescribing the structure of a proof at the level of primitive inferences, a tactic [11] provides the guarantee part of the proof.
Автор: Hantao Zhang Название: Automated Mathematical Induction ISBN: 9401072507 ISBN-13(EAN): 9789401072502 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It has been shown how the common structure that defines a family of proofs can be expressed as a proof plan [5]. A proof plan has two complementary components: a proof method and a proof tactic. By prescribing the structure of a proof at the level of primitive inferences, a tactic [11] provides the guarantee part of the proof.
Автор: Pavel B. Brazdil; Kurt Konolige Название: Machine Learning, Meta-Reasoning and Logics ISBN: 1461289068 ISBN-13(EAN): 9781461289067 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning.
Автор: Pavel B. Brazdil; Kurt Konolige Название: Machine Learning, Meta-Reasoning and Logics ISBN: 0792390474 ISBN-13(EAN): 9780792390473 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning.
Автор: Norbert Jankowski; W?odzis?aw Duch; Krzysztof Gr?b Название: Meta-Learning in Computational Intelligence ISBN: 3642268587 ISBN-13(EAN): 9783642268588 Издательство: Springer Рейтинг: Цена: 204040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book defines and discusses new theoretical and practical trends in meta-learning, which shifts the focus of the field of computational intelligence (CI) from individual learning algorithms to the higher level of learning how to learn.
Автор: Frumen Olivas; Fevrier Valdez; Oscar Castillo; Pat Название: Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic ISBN: 3319708503 ISBN-13(EAN): 9783319708508 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Theory and Background.- Problems Statement.- Methodology.- Simulation Results.- Statistical Analysis and Comparison of Results.
Автор: Ibrahim H. Osman; James P. Kelly Название: Meta-Heuristics ISBN: 1461285879 ISBN-13(EAN): 9781461285878 Издательство: Springer Рейтинг: Цена: 343800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids.
Автор: Y. M. El-Fattah; C. Foulard Название: Learning Systems: Decision, Simulation, and Control ISBN: 3540090037 ISBN-13(EAN): 9783540090038 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
The two-volume set LNCS 10273 and 10274 constitutes the refereed proceedings of the thematic track on Human Interface and the Management of Information, held as part of the 19th HCI International 2017, in Vancouver, BC, Canada, in July 2017.
HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The 102 papers presented in these volumes were organized in topical sections as follows: Part I: Visualization Methods and Tools; Information and Interaction Design; Knowledge and Service Management; Multimodal and Embodied Interaction. Part II: Information and Learning; Information in Virtual and Augmented Reality; Recommender and Decision Support Systems; Intelligent Systems; Supporting Collaboration and User Communities; Case Studies.
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