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Machine Learning Applications In Software Engineering

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出版日:2016/08/01 作者:Warren Smith  出版社:McGraw-Hill  裝訂:精裝
The definitive guide to the art and science of lens design—fully updated to reflect the latest advancesThis benchmark optical engineering resource offers an encyclopedic overview of all forms of lenses and optical systems. Revised from start to finish, this new edition brings all existing content up to date and adds new sections on design advances from the last 10 years. With this book in hand, there's no lens that you can't design.Modern Lens Design, Third Edition, leads you through the fundamentals and hands-on practices of optical engineering, covering time-tested methods for designing top-quality lenses. Long a paragon of design instruction, the book provides clear explanations, examples, and hands-on instruction and fully covers the latest software and optimization techniques.Features new coverage of cell phone cameras, panoramic and 360-degree lenses, and large-format focal planesClarifies and consolidates a wide range of crucial lens design informationTwo industry-recognized exp
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出版日:1998/12/01 作者:ChristopherJ.C. Burges  出版社:Mit Pr  裝訂:精裝
The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inv
出版日:1992/04/29 作者:JohnH. Holland  出版社:Bradford Books  裝訂:精裝
Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the d
出版日:1984/09/05 作者:Larry Hirschhorn  出版社:Mit Pr  裝訂:精裝
In this thought-provoking study of work, worker, and machine in the postindustrial age, Hirschhorn points out that factories will become places of learning where the worker must be able to diagnose an
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