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  • Granular-Relational Data Mining

    How to Mine Relational Data in the Paradigm of Granular Computing?

    de Piotr Hońko ...
    Series series Engineering (R0)
    This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.Both approaches make it possible to perform and improve popular data mining tasks such as classification, clustering, ... Leer más

    $1,632 MXN

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  • Practical Foundations for Programming Languages

    de 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 ... Leer más

    $1,319 MXN

  • 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 ... Leer más

    $498 MXN

  • Mathematics of Discrete Structures for Computer Science

    Series series Computer Science (R0)
    Mathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness, robustness and dependability. This book covers the foundational ... Leer más

    $906 MXN

  • Introduction to Artificial Intelligence

    Traducido por Nathanael T. Black ...
    Series series Computer Science (R0)
    This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands ... Leer más

    $627 MXN

  • Practical Foundations for Programming Languages

    de Robert Harper ...
    Types are the central organizing principle of the theory of programming languages. In this innovative book, Professor Robert Harper offers a fresh perspective on the fundamentals of these languages through the use of type theory. Whereas most textbooks on the subject emphasize taxonomy, Harper instead emphasizes genetics, examining the building blocks from which all programming languages are ... Leer más

    $1,276 MXN

  • Bayesian Analysis with Python

    Unleash the power and flexibility of the Bayesian framework

    Unleash the power and flexibility of the Bayesian frameworkKey FeaturesSimplify the Bayes process for solving complex statistical problems using Python;Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises;Learn how and when to use Bayesian analysis in your applications with this guide.Book DescriptionThe purpose of ... Leer más

    $857 MXN o gratis con Kobo Plus

  • Learning Bayesian Models with R

    Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

    Key FeaturesBook DescriptionBayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian ... Leer más

    $606 MXN o gratis con Kobo Plus

  • Knowledge Representation, Reasoning, and the Design of Intelligent Agents

    The Answer-Set Programming Approach

    Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and ... Leer más

    $1,021 MXN

  • Intelligent Computer Mathematics

    International Conference, CICM 2015, Washington, DC, USA, July 13-17, 2015, Proceedings.

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the International Conference on Intelligent Computer Mathematics, CICM 2015, held in Washington, DC, USA, in July 2015. The 16 full papers and 9 short papers presented together with two invited talks plus one abstract were carefully reviewed and selected from a total of 43 submissions. The papers are organized in topical sections following the ... Leer más

    $906 MXN

  • Big Data Integration Theory

    Theory and Methods of Database Mappings, Programming Languages, and Semantics

    de Zoran Majkić ...
    Series series Computer Science (R0)
    This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in depth. An analysis method is also developed that combines techniques from second ... Leer más

    $906 MXN

  • Learning Probabilistic Graphical Models in R

    Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R

    de David Bellot ...
    Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in RKey Features\[\*\] Predict and use a probabilistic graphical models (PGM) as an expert system\[\*\] Comprehend how your computer can learn Bayesian modeling to solve real-world problems\[\*\] Know how to prepare data and feed the models by using the appropriate algorithms from ... Leer más

    $606 MXN o gratis con Kobo Plus