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The Discovery of the Artificial, R. Cordeschi


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Автор: R. Cordeschi
Название:  The Discovery of the Artificial
ISBN: 9789048160150
Издательство: Springer
Классификация:


ISBN-10: 9048160154
Обложка/Формат: Paperback
Страницы: 314
Вес: 0.48 кг.
Дата издания: 15.12.2010
Серия: Studies in Cognitive Systems
Язык: English
Размер: 156 x 233 x 23
Основная тема: Philosophy
Подзаголовок: Behavior, Mind and Machines Before and Beyond Cybernetics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine.


Advances in Knowledge Discovery and Data Mining

Автор: Jinho Kim; Kyuseok Shim; Longbing Cao; Jae-Gil Lee
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319574531 ISBN-13(EAN): 9783319574530
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. spatio-temporal and sequential data mining; dynamic, stream data mining; behavioral data mining;

Advances in Knowledge Discovery and Data Mining

Автор: Jinho Kim; Kyuseok Shim; Longbing Cao; Jae-Gil Lee
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319575287 ISBN-13(EAN): 9783319575285
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. spatio-temporal and sequential data mining; dynamic, stream data mining; behavioral data mining;

Discovery Science

Автор: Calders
Название: Discovery Science
ISBN: 3319463063 ISBN-13(EAN): 9783319463063
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions.

The conference focuses on following topics: Advances in the development and analysis of methods for discovering scienti?c knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti?c domains.
Trends and Applications in Knowledge Discovery and Data Mining

Автор: U Kang; Ee-Peng Lim; Jeffrey Xu Yu; Yang-Sae Moon
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319672738 ISBN-13(EAN): 9783319672731
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

Advances in Knowledge Discovery and Data Mining

Автор: Vincent S. Tseng; Tu Bao Ho; Zhi-Hua Zhou; Arbee L
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319066072 ISBN-13(EAN): 9783319066073
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. They cover the general fields of pattern mining; graph and network mining; biomedical data mining; and unstructured data and text mining.

Discovery Science

Автор: Nathalie Japkowicz; Stan Matwin
Название: Discovery Science
ISBN: 3319242814 ISBN-13(EAN): 9783319242811
Издательство: Springer
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Цена: 7826.00 р.
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Описание:

Bilinear Prediction using Low Rank Models.- Finding Hidden Structure in Data with Tensor Decompositions.- Turning Prediction Tools Into Decision Tools.- Overcoming obstacles to the adoption of machine learning by domain Experts.- Resolution transfer in cancer classification based on amplification patterns.- Very Short-Term Wind Speed Forecasting using Spatio-Temporal Lazy Learning.- Discovery of Parameters for Animation of Midge Swarms.- No Sentiment is an Island: Author's activity and sentiments transactions in sentiment classification.- Active Learning for Classifying Template Matches in Historical Maps.- An evaluation of score descriptors combined with non-linear models of expressive dynamics in music.- Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis.- Generalized Shortest Path Kernel on Graphs.- Ensembles of extremely randomized trees for multi-target regression.- Clustering-Based Optimised Probabilistic Active Learning (COPAL).- Predictive Analysis on Tracking Emails for Targeted Marketing.- Semi-supervised Learning for Stream Recommender Systems.- Detecting Transmembrane Proteins Using Decision Trees.- Change point detection for information diffusion tree.- Multi-label Classification via Multi-target Regression on Data Streams.- Periodical Skeletonization for Partially Periodic Pattern Mining.- Predicting Drugs Adverse Side-Effects using a recommender-system.- Dr. Inventor Framework: extracting structured information from scientific publications.- Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel.- Hierarchical Multidimensional Classification of web documents with MultiWebClass.- Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets.- On the Feasibility of Discovering Meta-Patterns from a Data Ensemble.- An Algorithm for Influence Maximization in a Two-Terminal Series.- Parallel Graph and Its Application to a Real Network.- Benchmarking Stream Clustering for Churn Detection in Dynamic Networks .- Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface.- KeCo: Kernel-based Online Co-agreement Algorithm.- Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees.- Enumerating Maximal Clique Sets with Pseudo-Clique Constraint.

Research and Development in Knowledge Discovery and Data Mining

Автор: Xindong Wu; Ramamohanarao Kotagiri; Kevin B. Korb
Название: Research and Development in Knowledge Discovery and Data Mining
ISBN: 3540643834 ISBN-13(EAN): 9783540643838
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This collection of papers contributes results to all aspects in knowledge discovery and data mining on the research level as well as on machine learning, information systems, the Internet, statistics, knowledge acquisition, data visualization, software re-engineering, and knowledge-based systems.

Methodologies for Knowledge Discovery and Data Mining

Автор: Ning Zhong; Lizhu Zhou
Название: Methodologies for Knowledge Discovery and Data Mining
ISBN: 3540658661 ISBN-13(EAN): 9783540658665
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Constitutes the refereed proceedings of the Third Pacific Asia Conference on Knowledge Discovery and Data Mining, held in Beijing, China, in April 1999. Topics include emerging KDD technology, association rules, feature selection and generation, and rough sets, fuzzy logic, and neural networks.

Advances in Knowledge Discovery and Data Mining

Автор: Phung
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319930338 ISBN-13(EAN): 9783319930336
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.

We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law

Автор: Chesterman Simon
Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law
ISBN: 1316517683 ISBN-13(EAN): 9781316517680
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.

Discovery Science

Автор: Akihiro Yamamoto; Takuya Kida; Takeaki Uno; Tetsuj
Название: Discovery Science
ISBN: 3319677853 ISBN-13(EAN): 9783319677859
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book constitutes the proceedings of the 20th International Conference on Discovery Science, DS 2017, held in Kyoto, Japan, in October 2017, co-located with the International Conference on Algorithmic Learning Theory, ALT 2017.

Advances in Knowledge Discovery and Data Mining

Автор: Vincent S. Tseng; Tu Bao Ho; Zhi-Hua Zhou; Arbee L
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319066048 ISBN-13(EAN): 9783319066042
Издательство: Springer
Рейтинг:
Цена: 14673.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. They cover the general fields of pattern mining; graph and network mining; biomedical data mining; and unstructured data and text mining.


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