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Showing 1 - 12 of 12 results for “slav petrov
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  • Coarse-to-Fine Natural Language Processing

    by Slav Petrov ...
    Series series Computer Science (R0)
    The impact of computer systems that can understand natural language will be tremendous. To develop this capability we need to be able to automatically and efficiently analyze large amounts of text. Manually devised rules are not sufficient to provide coverage to handle the complex structure of natural language, necessitating systems that can automatically learn from examples. To handle the ... Read more

    $89.09 USD

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  • Understanding Machine Learning

    From Theory to Algorithms

    Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical ... Read more

    $61.49 USD

  • Foundations of Statistical Natural Language Processing

    Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as ... Read more

    $77.99 USD

  • Elements of Causal Inference

    Foundations and Learning Algorithms

    Series series Adaptive Computation and Machine Learning series
    A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the ... Read more

    $27.99 USD

  • The Handbook of Computational Linguistics and Natural Language Processing

    Series series Blackwell Handbooks in Linguistics
    This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering ... Read more

    $46.00 USD

  • Bayesian Networks

    An Introduction

    Series Book 924 - Wiley Series in Probability and Statistics
    Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions ... Read more

    $95.00 USD

  • Multilingual Natural Language Processing Applications

    From Theory to Practice

    Series series IBM Press
    Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience.Part I introduces the core concepts and theoretical foundations of modern multilingual natural language ... Read more

    $113.39 USD

  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in ... Read more

    $46.79 USD

  • Neural Network Methods in Natural Language Processing

    Series series Synthesis Lectures on Human Language Technologies
    Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... Read more

    $53.99 USD

  • Practical Foundations for Programming Languages

    by Robert Harper ...
    This text develops a comprehensive theory of programming languages based on type systems and structural operational semantics. Language concepts are precisely defined by their static and dynamic semantics, presenting the essential tools both intuitively and rigorously while relying on only elementary mathematics. These tools are used to analyze and prove properties of languages and provide the ... Read more

    $76.29 USD

  • Markov Logic

    An Interface Layer for Artificial Intelligence

    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface ... Read more

    $28.79 USD

  • A Theory of Syntax

    Minimal Operations and Universal Grammar

    Human language seems to have arisen roughly within the last 50-100,000 years. In evolutionary terms, this is the mere blink of an eye. If this is correct, then much of what we consider distinctive to language must in fact involve operations available in pre-linguistic cognitive domains. In this book Norbert Hornstein, one of the most influential linguists working on syntax, discusses a topical set ... Read more

    $44.29 USD