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“how peiris”

Showing 1 - 12 of 12 results for “how peiris”
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  • Modeling Invasive Alien Plant Species

    Fuzzy-Based Uncertainty

    by H.O.W. Peiris, S. Chakraverty, S.S.N. Perera, S.M.W. Ranwala ...
    Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty presents the application of different fuzzy set theory techniques in developing risk assessment models for invasive plant species- those whose introduction and spread outside their natural range threatens local biodiversity. Invasion risk of species is expressed by biological traits which would be considered as the risk factors ... Read more

    $65.99 USD

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  • Data Mining

    Practical Machine Learning Tools and Techniques

    by Eibe Frank, Mark A. Hall, Ian H. Witten ...
    Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about ... Read more

    $62.99 USD

  • Data Mining

    Practical Machine Learning Tools and Techniques, Second Edition

    by Eibe Frank, Ian H. Witten ...
    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an ... Read more

    $67.49 USD

  • Data Mining Techniques

    by Arun K.Pujari ...
    Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. The book contains the algorithmic details of different techniques such as A priori, Pincer-search, Dynamic Itemset Counting, FP-Tree growth, SLIQ ... Read more

    $14.00 USD

  • Ecological Models and Data in R

    by Benjamin M. Bolker ...
    Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive ... Read more

    $57.59 USD

  • Signals and Boundaries

    Building Blocks for Complex Adaptive Systems

    by John H. Holland ...
    An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies.Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, ... Read more

    $18.99 USD

  • Markov Models: An Introduction to Markov Models

    by Steven Taylor ...
    Markov ModelsThis book will offer you an insight into the Hidden Markov Models as well as the Bayesian Networks. Additionally, by reading this book, you will also learn algorithms such as Markov Chain Sampling.Furthermore, this book will also teach you how Markov Models are very relevant when a decision problem is associated with a risk that continues over time, when the timing of occurrenc... ... Read more

    $3.99 USD or Free with Kobo Plus

  • Bayesian Evolutionary Analysis with BEAST

    by Alexei J. Drummond, Remco R. Bouckaert ...
    What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian ... Read more

    $62.39 USD

  • Memory and the Computational Brain

    Why Cognitive Science will Transform Neuroscience

    by C. R. Gallistel, Adam Philip King ...
    Series Book 6 - Blackwell/Maryland Lectures in Language and Cognition
    Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades.A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, ... Read more

    $56.00 USD

  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    by Kristian Kersting, Luc De Raedt, Sriraam Natarajan, David Poole ...
    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

  • Bayesian Networks in R

    with Applications in Systems Biology

    by Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre ...
    Series series Mathematics and Statistics (R0)
    Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on ... Read more

    $89.09 USD

  • Applying Graph Theory in Ecological Research

    by Mark R.T. Dale ...
    Graph theory can be applied to ecological questions in many ways, and more insights can be gained by expanding the range of graph theoretical concepts applied to a specific system. But how do you know which methods might be used? And what do you do with the graph once it has been obtained? This book provides a broad introduction to the application of graph theory in different ecological systems, ... Read more

    $50.09 USD