Data Analytics and Management in Data Intensive Domains, Kalinichenko
Автор: Amadio Название: Domains and Lambda-Calculi ISBN: 0521062926 ISBN-13(EAN): 9780521062923 Издательство: Cambridge Academ Рейтинг: Цена: 59130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes the mathematical aspects of the semantics of programming languages. The main goals are to provide formal tools to assess the meaning of programming constructs in ways independent of both language and platform. To do this the authors explain denotational and operational semantics and exploit the duality between them.
Автор: Leonid Kalinichenko; Sergei O. Kuznetsov; Yannis M Название: Data Analytics and Management in Data Intensive Domains ISBN: 3319571346 ISBN-13(EAN): 9783319571348 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.
The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.
Автор: Matthew Taylor Название: Transfer in Reinforcement Learning Domains ISBN: 3642018815 ISBN-13(EAN): 9783642018817 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Reinforcement Learning Background.- Related Work.- Empirical Domains.- Value Function Transfer via Inter-Task Mappings.- Extending Transfer via Inter-Task Mappings.- Transfer between Different Reinforcement Learning Methods.- Learning Inter-Task Mappings.- Conclusion and Future Work.
Автор: Amadio Название: Domains and Lambda-Calculi ISBN: 0521622778 ISBN-13(EAN): 9780521622776 Издательство: Cambridge Academ Рейтинг: Цена: 142560.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes the mathematical aspects of the semantics of programming languages. The main goals are to provide formal tools to assess the meaning of programming constructs in ways independent of both language and platform. To do this the authors explain denotational and operational semantics and exploit the duality between them.
Автор: Todd Hester Название: TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains ISBN: 3319011677 ISBN-13(EAN): 9783319011677 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.
Автор: Alfio Gliozzo; Carlo Strapparava Название: Semantic Domains in Computational Linguistics ISBN: 3642425860 ISBN-13(EAN): 9783642425868 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An ideal text for researchers and graduate students, this comprehensive volume covers semantic domains and domain models, as well as ways of applying the technique to text categorization, word sense disambiguation, and cross-language text categorization.
Автор: Fabien Gandon; Marta Sabou; Harald Sack; Claudia d Название: The Semantic Web. Latest Advances and New Domains ISBN: 3319188178 ISBN-13(EAN): 9783319188171 Издательство: Springer Рейтинг: Цена: 81990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Vocabularies, Schemas, Ontologies.- Requirements for and Evaluation of User Support for Large-Scale Ontology Alignment.- RODI: A Benchmark for Automatic Mapping Generation in Relational-to-Ontology Data Integration.- VocBench: a Web Application for Collaborative Development of Multilingual Thesauri.- Leveraging and Balancing Heterogeneous Sources of Evidence in Ontology Learning.- Reasoning.- A Context-Based Semantics for SPARQL Property Paths over the Web.- Distributed and Scalable OWL EL Reasoning.- Large scale rule-based Reasoning using a Laptop.- RDF Digest: Efficient Summarization of RDF/S KBs.- Linked Data.- A Comparison of Data Structures to Manage URIs on the Web of Data.- Heuristics for Fixing Common Errors in Deployed schema.org Microdata.- Semantic Web and Web Science.- LOD-based Disambiguation of Named Entities in @tweets through Context enrichment.- Knowledge Enabled Approach to Predict the Location of Twitter Users.- Semantic Data Management, Big data, Scalability.- A Compact In-Memory Dictionary for RDF data.- Quality Assessment of Linked Datasets using Probabilistic Approximations.- Cooperative Techniques for SPARQL Query Relaxation in RDF Databases.- HDT-MR: A Scalable Solution for RDF Compression with HDT and MapReduce.- Processing Aggregate Queries in a Federation of SPARQL Endpoints.- A survey of HTTP caching implementations on the open Semantic Web.- Query Execution Optimization for Clients of Triple Pattern Fragments.- Natural Language Processing and Information Retrieval LIME: the Metadata Module for OntoLex.- Learning a Cross-Lingual Semantic Representation of Relations Expressed in Text.- HAWK Hybrid Question Answering using Linked Data.- Machine Learning.- Automating RDF Dataset Transformation and Enrichment.- Semi-supervised Instance Matching Using Boosted Classifiers.- Assigning Semantic Labels to Data Sources.- Inductive Classification through Evidence-based Models and their Ensembles.- Mobile Web, Internet of Things and Semantic Streams.- Standardized and Efficient RDF Encoding for Constrained Embedded Networks.- Services, Web APIs, and the Web of Things SPSC: Efficient Composition of Semantic Services in Unstructured P2P Networks.- Data as a Service: The Semantic Web Redeployed.- Cognition and Semantic Web.- On Coherent Indented Tree Visualization of RDF Graphs.- Gagg: A Graph Aggregation Operator.- FrameBase: Representing N-ary Relations using Semantic Frames.- Human Computation and Crowdsourcing.- Towards hybrid NER: a study of content and crowdsourcing-related performance factors.- Ranking Entities in the Age of Two Webs, An Application to Semantic Snippets.- In-Use Industrial Track.- Troubleshooting and Optimizing Named Entity Resolution Systems in the Industry.- Using Ontologies For Modeling Virtual Reality Scenarios.- Supporting Open Collaboration in Science through Explicit and Linked Semantic Description of Processes.- Crowdmapping Digital Social Innovation with Linked data.- Desperately searching for travel offers? Formulate better queries with some help from Linked Data.- Towards the Linked Russian Heritage Cloud: Data enrichment and Publishing.- From Symptoms to Diseases - Creating the Missing Link.- Using semantic web technologies for enterprise architecture analysis.- PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance Domain.
Автор: Harald Sack; Eva Blomqvist; Mathieu d`Aquin; Chiar Название: The Semantic Web. Latest Advances and New Domains ISBN: 3319341286 ISBN-13(EAN): 9783319341286 Издательство: Springer Рейтинг: Цена: 89440.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The 47 revised full papers presented together with three invited talks were carefully reviewed and selected from 204 submissions. In addition, the PhD Symposium program included 10 contributions, selected out of 21 submissions. The core tracks of the research conference were complemented with new tracks focusing on linked data;
Автор: Todd Hester Название: TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains ISBN: 3319375105 ISBN-13(EAN): 9783319375106 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.
Автор: Klaus Keimel; Guo-Qiang Zhang; Ying Ming Liu; Yixi Название: Domains and Processes ISBN: 0792371437 ISBN-13(EAN): 9780792371434 Издательство: Springer Рейтинг: Цена: 144370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Domain theory is an interdisciplinary area at the intersection of logic, computer science, and mathematics. This volume contains selected papers presented at the International Symposium on Domain Theory which took place in Shanghai in October 1999. It is suitable for researchers and students interested in this area of theoretical computer science.
Автор: Thomas L. Geers Название: IUTAM Symposium on Computational Methods for Unbounded Domains ISBN: 9048151066 ISBN-13(EAN): 9789048151066 Издательство: Springer Рейтинг: Цена: 204040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the IUTAM Symposium held in Boulder, Colorado, USA, 27-31 July 1997
Автор: Corea Название: Big Data Analytics: A Management Perspective ISBN: 3319389912 ISBN-13(EAN): 9783319389912 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.
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