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Foundations of Machine Learning, second edition
  • Language: en
  • Pages: 505

Foundations of Machine Learning, second edition

  • Type: Book
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  • Published: 2018-12-25
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  • Publisher: MIT Press

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the an...

Predicting Structured Data
  • Language: en
  • Pages: 361

Predicting Structured Data

  • Type: Book
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  • Published: 2007
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  • Publisher: MIT Press

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Implementation and Application of Automata
  • Language: en
  • Pages: 301

Implementation and Application of Automata

This book constitutes the refereed proceedings of the 11th International Conference on Implementation and Application of Automata, CIAA 2006, held in Taipei, Taiwan, in August 2006. The 22 revised full papers and 7 revised poster papers presented together with the extended abstracts of 3 invited lectures were carefully reviewed and selected from 76 submissions. The papers cover various topics in the theory, implementation, and applications of automata and related structures.

Formal Languages and Applications
  • Language: en
  • Pages: 612

Formal Languages and Applications

  • Type: Book
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  • Published: 2013-03-09
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  • Publisher: Springer

Formal Languages and Applications provides a comprehensive study-aid and self-tutorial for graduates students and researchers. The main results and techniques are presented in an readily accessible manner and accompanied by many references and directions for further research. This carefully edited monograph is intended to be the gateway to formal language theory and its applications, so it is very useful as a review and reference source of information in formal language theory.

Finite-state Methods and Natural Language Processing
  • Language: en
  • Pages: 248

Finite-state Methods and Natural Language Processing

  • Type: Book
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  • Published: 2009
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  • Publisher: IOS Press

Contains papers that cover a range of Natural Language Processing (NLP) applications, including machine learning and translation, logic, computational phonology, morphology and semantics, data mining, information extraction and disambiguation, as well as programming, optimization and compression of finite-state networks.

Implementation and Application of Automata
  • Language: en
  • Pages: 318

Implementation and Application of Automata

  • Type: Book
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  • Published: 2003-08-03
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  • Publisher: Springer

The refereed post-proceedings of the 7th International Conference on Implementation and Application of Automata, CIAA 2002, held in Tours, France, in July 2002. The 28 revised full papers presented together with an invited paper and 4 short papers were carefully selected during two rounds of reviewing and revision. The topics addressed range from theoretical and methodological issues to automata applications in software engineering, natural language processing, speech recognition, and image processing, to new representations and algorithms for efficient implementation of automata and related structures.

Springer Handbook of Speech Processing
  • Language: en
  • Pages: 1170

Springer Handbook of Speech Processing

This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.

Text, Speech and Dialogue
  • Language: en
  • Pages: 469

Text, Speech and Dialogue

  • Type: Book
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  • Published: 2003-07-31
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  • Publisher: Springer

The workshop series on Text, Speech and Dialogue originated in 1998 with the ?rst TSD1998 held in Brno, Czech Republic. This year’s TSD2000, already the third in the series, returns to Brno and to its organizers from the Faculty of Informatics at the Masaryk University. As shown by the ever growing interest in TSD series, this annual workshop developed into the prime meeting of speech and language researchers from both sides of the former Iron Curtain, which provides a unique opportunity to get acquainted with the current activities in all aspects of language communication and to witness the amazing vitality of researchers from the former East Block countries. Thanks need to be extended to...

Finite-State Text Processing
  • Language: en
  • Pages: 146

Finite-State Text Processing

Weighted finite-state transducers (WFSTs) are commonly used by engineers and computational linguists for processing and generating speech and text. This book first provides a detailed introduction to this formalism. It then introduces Pynini, a Python library for compiling finite-state grammars and for combining, optimizing, applying, and searching finite-state transducers. This book illustrates this library's conventions and use with a series of case studies. These include the compilation and application of context-dependent rewrite rules, the construction of morphological analyzers and generators, and text generation and processing applications.

Learning Theory and Kernel Machines
  • Language: en
  • Pages: 761

Learning Theory and Kernel Machines

This book constitutes the joint refereed proceedings of the 16th Annual Conference on Computational Learning Theory, COLT 2003, and the 7th Kernel Workshop, Kernel 2003, held in Washington, DC in August 2003. The 47 revised full papers presented together with 5 invited contributions and 8 open problem statements were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections on kernel machines, statistical learning theory, online learning, other approaches, and inductive inference learning.