Language : English
Published : 2017-10-31
Pages : 404
Computational Phylogenetics: An Introduction to Designing Methods for Phylogeny Estimation
This book presents the foundations of phylogeny estimation and technical material enabling researchers to develop improved computational methods.
A comprehensive account of both basic and advanced material in phylogeny estimation, focusing on computational and statistical issues. No background in biology or computer science is assumed, and there is minimal use of mathematical formulas, meaning that students from many disciplines, including biology, computer science, statistics, and applied mathematics, will find the text accessible. The mathematical and statistical foundations of phylogeny estimation are presented rigorously, following which more advanced material is covered. This includes substantial chapters on multi-locus phylogeny estimation, supertree methods, multiple sequence alignment techniques, and designing methods for large-scale phylogeny estimation. The author provides key analytical techniques to prove theoretical properties about methods, as well as addressing performance in practice for methods for estimating trees. Research problems requiring novel computational methods are also presented, so that graduate students and researchers from varying disciplines will be able to enter the broad and exciting field of computational phylogenetics.
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This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
For undergraduate or graduate courses in IT Strategy or Management. Using IT to deliver business value. IT Strategy: Issues and Practices provides a critical issues perspective that shows students how to use and manage IT to deliver business value. This edition has been overhauled in order to reflect the most important issues facing IT managers today.
The best business guide for design professionals just got even better! This revised and expanded third edition includes everything designers need–besides talent–to turn their artistic success into business success. You’ll find information on key issues facing designers from freelancing to managing established design firms. A strong visual focus and to-the-point text take the fear factor out of learning about thorny business realities like staffing, marketing, bookkeeping, intellectual property, and more. These smart business practices are essential to success in graphic, Web, and industrial design. Here are just a few of the things you’ll learn:
• How to get on the right career path
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Talent Is Not Enough provides a big-picture context for these and other challenges and shares practical, real-world advice. Since its first publication, the book has become an essential resource for both students and working professionals in these areas and more:
• Design planning and strategy
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Evolutionary computation, the use of evolutionary systems as computational processes for solving complex problems, is a tool used by computer scientists and engineers who want to harness the power of evolution to build useful new artifacts, by biologists interested in developing and testing better models of natural evolutionary systems, and by artificial life scientists for designing and implementing new artificial evolutionary worlds. In this clear and comprehensive introduction to the field, Kenneth De Jong presents an integrated view of the state of the art in evolutionary computation. Although other books have described such particular areas of the field as genetic algorithms, genetic programming, evolution strategies, and evolutionary programming, Evolutionary Computation is noteworthy for considering these systems as specific instances of a more general class of evolutionary algorithms. This useful overview of a fragmented field is suitable for classroom use or as a reference for computer scientists and engineers.