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Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing (English, Stefan Wermter | Ellen Riloff | Gabriele Scheler)-54% OFF
Computers & Internet

Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing (English, Stefan Wermter | Ellen Riloff | Gabriele Scheler)

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Specifications

PublisherSpringer
LanguageEnglish
ISBN-139783540609254
ISBN-103540609253
AuthorStefan Wermter | Ellen Riloff | Gabriele Scheler

Product Description

Here on GlowMirror, you'll find Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing filed under Computers & Internet -- everything you need to know is covered below.

About the Book

This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revised selected workshop presentations; some papers were individually solicited from members of the workshop program committee to give the book an overall completeness. A…

ISBN: 9783540609254

Book Insights

What You'll Learn

  • ·Fundamental and advanced concepts in Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing
  • ·Code examples, algorithms, and implementation patterns
  • ·Best practices and industry-relevant skills

Who Should Read This

Software developers, IT professionals, computer science students, and tech enthusiasts.

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  • ·Brand new physical book delivered across India
  • ·15-day hassle-free return policy

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Is Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing available in English?
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing is available in English on GlowMirror.
Who is the author of Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing?
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing is authored by Stefan Wermter | Ellen Riloff | Gabriele Scheler.
Who published Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing?
Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing is published by Springer.
How many pages does Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing have?
Page count information for Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing is available in the specifications section of this page.
How long does it take to read Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing?
At an average reading speed of 250 words per minute, reading Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing takes a few hours to a few days depending on reading pace.
What is Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing about?
About the Book This book is based on the workshop on New Approaches to Learning for Natural Language Processing, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. Most of the 32 papers included in the book are revi...
Is Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing suitable for beginners?
Whether Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing is suitable for beginners depends on your background in Computers & Internet. Review the product description and specifications above for details on the target audience and difficulty level.
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Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing is from the Springer edition/year. Check the specifications section for full edition details.
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