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A Midsummer Night #nofilter

RRP $19.99

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A Midsummer Night's Dream, one of the greatest stories ever told . . . in texts?!

Imagine: What if the fairies and star-crossed lovers of the forest had smartphones? A classic is reborn in this fun and funny adaptation of one of Shakespeare's most famous plays!

Four lovers who can't decide who they have a crush on.

One mischievous fairy with a love potion.

Total chaos in the fairy world, the human world, and everywhere in between!

The classics just got a whole lot more interesting.

A Shakespeare play told through its characters texting with emojis, posting photos, checking in at locations, and updating their relationship statuses. The perfect gift for hip theater lovers and teens.

A glossary and cast of characters are included for those who need it. For example: means too long; didn't read.


A Lawn Chair Gardener's Guide

RRP $18.06

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Entertaining and easy to read, A Lawn Chair Gardener's Guide shows readers why it's time for a "Yard 2.0" and how create to create beautiful, functional, and sustainable yards that provide maximum yields with minimal effort. Pape's low-maintenance "lawn chair" gardens create habitat, conserve water, reduce the carbon footprints, and eliminate the need for chemicals.

Mixing one part gardening, one part concern for the environment, and one part personal growth, Pape sets out to change the world, one yard at a time. Best of all, she makes it easy. Pape has a knack for explaining complex topics like organic gardening and companion planting in an approachable way. You too can grow your own food, improve your little corner of the world, and transform your yard into an oasis.


Kernel Adaptive Filtering

RRP $174.95

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<b>Online learning from a signal processing perspective</b> <p> There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. <i>Kernel Adaptive Filtering</i> is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. <ul> <li> <p> Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm <li> <p> Presents a powerful model-selection method called maximum marginal likelihood <li> <p> Addresses the principal bottleneck of kernel adaptive filters&#8212;their growing structure <li> <p> Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site <li> <p> Concludes each chapter with a summary of the state of the art and potential future directions for original research </ul> <p> <i>Kernel Adaptive Filtering</i> is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.



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