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Trends in Functional Programming Volume 6

Redigeret af Marko Van Eekelen ...

Serier serie Trends in Functional Programming
This book presents latest research developments in the area of functional programming. The contributions in this volume cover a wide range of topics from theory, formal aspects of functional programming, transformational and generic programming to type checking and designing new classes of data types.Not all papers in this book belong to the category of research papers. Also, the categories of ... Læs mere

356,86 kr.

This book presents latest research developments in the area of functional programming. The contributions in this volume cover a wide range of topics from theory, formal aspects of functional programming, transformational and generic programming to type checking and designing new classes of data types.Not all papers in this book belong to the category of research papers. Also, the categories of
... Læs mere

Building Machine Learning Systems with Python

af Willi Richert, Luis Pedro Coelho ...

This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and ... Læs mere

309,36 kr. eller Gratis med Kobo Plus

This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and
... Læs mere
Lisp in Small Pieces

af Christian Queinnec ...

Oversat af Kathleen Callaway ...

This is a comprehensive account of the semantics and the implementation of the whole Lisp family of languages, namely Lisp, Scheme and related dialects. It describes 11 interpreters and 2 compilers, including very recent techniques of interpretation and compilation. The book is in two parts. The first starts from a simple evaluation function and enriches it with multiple name spaces, continuations ... Læs mere

1.006,66 kr.

This is a comprehensive account of the semantics and the implementation of the whole Lisp family of languages, namely Lisp, Scheme and related dialects. It describes 11 interpreters and 2 compilers, including very recent techniques of interpretation and compilation. The book is in two parts. The first starts from a simple evaluation function and enriches it with multiple name spaces, continuations
... Læs mere
Natural Language Annotation for Machine Learning

A Guide to Corpus-Building for Applications

af James Pustejovsky, Amber Stubbs ...

Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started ... Læs mere

147,89 kr.

Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started
... Læs mere
Introduction to Information Retrieval

af Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze ...

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the ... Læs mere

634,11 kr.

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the
... Læs mere
Software Language Engineering

Creating Domain-Specific Languages Using Metamodels

af Anneke Kleppe ...

Software practitioners are rapidly discovering the immense value of Domain-Specific Languages (DSLs) in solving problems within clearly definable problem domains. Developers are applying DSLs to improve productivity and quality in a wide range of areas, such as finance, combat simulation, macro scripting, image generation, and more. But until now, there have been few practical resources that ... Læs mere

193,11 kr.

Software practitioners are rapidly discovering the immense value of Domain-Specific Languages (DSLs) in solving problems within clearly definable problem domains. Developers are applying DSLs to improve productivity and quality in a wide range of areas, such as finance, combat simulation, macro scripting, image generation, and more. But until now, there have been few practical resources that
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The Text Mining Handbook

Advanced Approaches in Analyzing Unstructured Data

af Ronen Feldman, James Sanger ...

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of ... Læs mere

863,98 kr.

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of
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Mastering Text Mining with R

Extract and recognize your text data

af KUMAR ASHISH ...

Master text-taming techniques and build effective text-processing applications with RKey Features\[\*\] Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide\[\*\] Gain in-depth understanding of the text mining process with lucid implementation in the R language\[\*\] Example-rich guide that lets you gain high-quality information from text dataBook ... Læs mere

271,11 kr. eller Gratis med Kobo Plus

Master text-taming techniques and build effective text-processing applications with RKey Features\[\*\] Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide\[\*\] Gain in-depth understanding of the text mining process with lucid implementation in the R language\[\*\] Example-rich guide that lets you gain high-quality information from text dataBook
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Model Driven Engineering and Ontology Development

af Dragan Djuric, Dragan Gaševic, Vladan Devedžic ...

Serier serie Computer Science (R0)
Defining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and ... Læs mere

840,29 kr.

Defining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and
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Systematic Program Design

From Clarity to Efficiency

af Yanhong Annie Liu ...

A systematic program design method can help developers ensure the correctness and performance of programs while minimizing the development cost. This book describes a method that starts with a clear specification of a computation and derives an efficient implementation by step-wise program analysis and transformations. The method applies to problems specified in imperative, database, functional, ... Læs mere

459,73 kr.

A systematic program design method can help developers ensure the correctness and performance of programs while minimizing the development cost. This book describes a method that starts with a clear specification of a computation and derives an efficient implementation by step-wise program analysis and transformations. The method applies to problems specified in imperative, database, functional,
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Linguistic Modeling of Information and Markup Languages

Contributions to Language Technology

Redigeret af Andreas Witt, Dieter Metzing ...

Serier serie Computer Science (R0)
840,29 kr.
Ontology Matching

af Jérôme Euzenat, Pavel Shvaiko ...

Serier serie Computer Science (R0)
Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce ... Læs mere

1.493,92 kr.

Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce
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Trends in Functional Programming Bogserier

Trends in Functional Programming Volume 6

Personer, der læser dette, syntes også om...

Building Machine Learning Systems with Python

Lisp in Small Pieces

Natural Language Annotation for Machine Learning

Introduction to Information Retrieval

Software Language Engineering

The Text Mining Handbook

Mastering Text Mining with R

Model Driven Engineering and Ontology Development

Systematic Program Design

Linguistic Modeling of Information and Markup Languages

Ontology Matching