Trivia: Seasons 1 through 3 (Trading Spaces)

Book Description

A variety of formats are used in the book to test fans knowledge: Multiple choice, fill in the blank, true/false, and matching quizzes.

Questions and answers painstakingly research to challenge the most die-hard fan.

Images taken directly from the show are incorporated throughout the book.

Customer Reviews:

I'm confused..........2004-03-02

Why do we need a book of trivia about the host, designers and, I'm assuming, carpenters on a home improvement/reality/pseudo-game show? Is this really necessary?
Now, I'll be the first to admit that I've been watching Trading Spaces (and the myriad of knock-offs) for far longer than I ought to, but I wouldn't wish a handy, coffee table book of "fun facts" on my worst enemy. It's fluff, people! It's grotesque, opportunistic marketing! C'mon! As if Vern, Hildy or Frank need more publicity! They're interior designers, not N'SYNC! Does anybody really need fun facts about interior design? How "fun" can they be, anyway? I'm sorry, but "Frank used a coffee can, stipple glaze and a guitar string to create this effect in the Johnson's living room" is mildly interesting, but certainly not "fun".
I don't know if this is the same book, but I saw one (yes, that means that there are several of these books!) featuring POSTERS of your fave designers a la Teen Beat! Yep, that's what I need in my garage: A nice big poster of Ty friggin' Pennington!
Ooh, I feel a little sick.

Really fun.......2003-12-30

This is fun, really fun. I got this for Christmas, and now I'm buying more copies as favors for our next Sat. nite Trading Spaces party. Our friends are obsessed with this show, and this book has lots of factoids I never knew about the show and the cast. This also is an amazing buy. If you love the Trading Spaces show, you have to buy this.

Book Description

A First Course in Information Theory is an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.

Customer Reviews:

Great, unique, modern - but also advanced.......2007-05-08

This is certainly one of the best textbooks on information theory. I would put it in line with the ones by Gallager and Cover/Thomas. It gives a fresh and modern perspective on information theory and prepares the reader very well for the new hot topics. It is well written, provides lots of examples, all good and interesting. The topics covered in this book span from the very basics to almost state of the art. Thus - and this is the only point I can criticize - some of the material may not be suited for a first course in information theory, rather than for a second course. To sum up, I can really recommend this book to anyone studying this topic.

An advanced book on Information Theory.......2007-03-26

This book provides the most important results on Information Theory, and it is up to date. It provides to the reader the necessary background and the important notions about this subject. It is well organized, although in some parts it can be a bit hard to understand some of the proofs.
I recommend this book, specially for advanced readers.

From insight to cutting edge research in information theory!.......2005-01-30

This book really motivates me to learn information theory and to discover the insight given by the subject. I had no or very little background on information theory before I took Professor Yeung's course. Now I am deeply interested in the subject (Of course, you do not need to take the course in order to fall in love with the book). The book may not be a no brainer, but its clear explanations of the concepts and mind-opening analytical examples easily led me not only to understand the subject very well, but also to realize the close relationship between math and information. That's the greatest part of the book. Later chapters in the book introduce many cutting edge research results in the subject which gives me a lot of ideas for research directions. If you are serious about learning information theory, this is the book you will love. Cover and Thomas book "Elements of Information Theory" is also good, but it is a bit less insightful (i.e., it is really a "text-book" :)), and the explanations of concepts are a bit on the shallow side. I suggest to use it as a reference to Yeung's book.

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Excellent introduction
Soft and pleasing intro to the (mathematical) coding theory

Coding Theory: A First Course
San Ling , and Chaoping Xing
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 0521821916

Book Description

Concerned with successfully transmitting data through a noisy channel, coding theory can be applied to electronic engineering and communications. Based on the authors' extensive teaching experience, this text provides a completely modern and accessible course on the subject. It includes sections on linear programming and decoding methods essential for contemporary mathematics. Numerous examples and exercises make the volume ideal for students and instructors.

Customer Reviews:

Excellent introduction.......2005-01-25

Pros:
1. Rephrases of theorems in more understandable words other than just mathematical terms.
2. Use of analogy is particularly helpful.
3. Very readable proofs -- just about the right amount of details.

Cons:
1. Too many trivial examples in the first chapter.

Soft and pleasing intro to the (mathematical) coding theory.......2004-09-22

A very soft introduction to coding theory. All the necessary information in finite field theory etc. are reminded of and short proves are also included. It is 25 years ago that I studied mathematics and it still was easy to follow. If you start from scratch you obviously have to invest some time to get a grasp of the mathematics before you can understand the application to coding.

After having read this book I finally know what this error messages of "Failed 312 cyclic redundancy checks" actually mean and why cyclic codes are used in physical networks (good burst correction properties).

If you want to dig deeper in the subject and you want to learn about nonlinear codes and more: than the authors tend to reference Neil J. A. Sloane, Florence Jessie MacWilliams "The Theory of Error-Correcting Codes".

A First Course in Fuzzy and Neural Control

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Intermedium level
Excellent introductory book

A First Course in Fuzzy and Neural Control
Hung T. Nguyen , Nadipuram R. Prasad , Carol L. Walker , and Ebert A. Walker
Manufacturer: Chapman & Hall/CRC
ProductGroup: Book
Binding: Hardcover

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ASIN: 1584882441

Book Description

Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding of both, engineers cannot make a sound determination of which technique to use for a given situation. A First Course in Fuzzy and Neural Control is designed to build the foundation needed to make those decisions. It begins with an introduction to standard control theory, then makes a smooth transition to complex problems that require innovative fuzzy, neural, and fuzzy-neural techniques. For each method, the authors clearly answer the questions: What is this new control method? Why is it needed? How is it implemented? Real-world examples, exercises, and ideas for student projects reinforce the concepts presented. Developed from lecture notes for a highly successful course titled The Fundamentals of Soft Computing, the text is written in the same reader-friendly style as the authors' popular A First Course in Fuzzy Logic text. A First Course in Fuzzy and Neural Control requires only a basic background in mathematics and engineering and does not overwhelm students with unnecessary material but serves to motivate them toward more advanced studies.

Customer Reviews:

Intermedium level.......2005-01-22

This book deepens concepts about fuzzy theory and fuzzy control. It is a useful tool to develop applications in fuzzy control. Otherwise this one presents a basic introduction to neural network, furthermore the theory about neural-fuzzy and fuzzy-neural is presented in basic form. The book contains a large number of examples about all items and Matlab software is used in many of they. I would catalog this book in medium level of deepening. Topics about fuzzy control are tried deeper than neuro-fuzzy, fuzzy-neural topics.

Excellent introductory book.......2003-09-24

Fascinating reading. I had trouble putting it down at times, which is a lot to be said for a text book! Although I had lots of experience with classical control methods I hadn't studied neural or fuzzy systems before. I found the book gave me an excellent introduction to the topics in a highly readable format and yet also gave me the details mathematics required to be able to be able to program fuzzy and neural systems myself. It also had examples using the Matlab toolboxes which was useful.

Representation and Inference for Natural Language: A First Course in Computational Semantics (Center for the Study of Language and Information - Lecture Notes)

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Computational Semantics Winner
Underground classic unleashed : The new vanguard of NLP texts

Representation and Inference for Natural Language: A First Course in Computational Semantics (Center for the Study of Language and Information - Lecture Notes)
Patrick Blackburn , and Johan Bos
Manufacturer: Center for the Study of Language and Inf
ProductGroup: Book
Binding: Paperback

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ASIN: 1575864967

Book Description

How can computers distinguish the coherent from the unintelligible, recognize new information in a sentence, or draw inferences from a natural language passage? Computational semantics is an exciting new field that seeks answers to these questions, and this volume is the first textbook wholly devoted to this growing subdiscipline. The book explains the underlying theoretical issues and fundamental techniques for computing semantic representations for fragments of natural language. This volume will be an essential text for computer scientists, linguists, and anyone interested in the development of computational semantics.

Customer Reviews:

Computational Semantics Winner.......2007-04-18

Anyone who has had to implement any kind of NLP system that even attempts to represent semantics
will find Patrick Blackburn, and Johan Bos book refreshing and informative. So much of the material out there is either completely theoretical or the material only introduces very
introductory level examples.

Representation and Inference for Natural Language is a winner. This book presents a legitimate theoretical
introduction and well thought out examples and source code.

The experiment approach that is used in the book takes the reader through various possibilities
demonstrating their strong points and short fallings and then provides the user with
viable (real) solutions both in a theoretical fashion and in implemented source code.

Excellent job.

It has definitely helped me to implement in fairly high quality Q&A system.

Cheers to the authors!!!!!!

Underground classic unleashed : The new vanguard of NLP texts.......2005-10-17

If you view the history of Natural Language Processing research from a certain vantagepoint, you can see a river running. The river has two banks: the procedural side, and the logical side.

Carl Hewett, living on the procedural side of the river, invented a language called "Plannner" and emphasized that knowledge consists in the ability to *do* things--to execute procedures.

Alain Colmerauer, living on the logical side of the river, invented a language called "Prolog", and emphasized that the knowledge consists of propositions which we can reason about and draw conclusions from.

On the procedural bank, Terry Winograd used Planner to create SHRDLU, a tour-de-force in Natural language processing, which showed how to make a NLP interface which could answer an impressive range of questions about blocks on a table. It could also make and execute plans involving building things with blocks. In his writings, Winograd emphasized the procedural nature of NLP understanding.

On the logical bank, Colmerauer, Rousssel, and coleages, created a French question-and-answer system which for the first time showed that every step of natural language processing, from tokenization to parsing to database query, can be performed by pure logical deduction.

Robert Kowalski was one of the first to percieve that both of these research programs were banks of the same river. As Hewett observes, Prolog reallly can be viewed as a version of Planner. The resulting vision is a stunning synthesis: Doing things can be viewed as theorem proving, and theorem proving can be viewed as doing things. There is no conflict between the proceedural and logical views--indeed they are two sides of the same coin.

Transcending these false dichotomies, these French-speaking and English-speaking researchers created what is, in the opinion of this reviewer, the mainstream of NLP research. Prolog really is the way to go if you want to do NLP research. Even hard-core lispers like Peter Norvig tacitly agree with this. Norvig wrote a book subtitled "Case studies in Common Lisp" which contains some cool NLP programs-but he didn't write those programs directly in lisp--first, he implemented prolog in lisp, and then built his NLP programs on top of prolog. Really, no matter what programming language you use, you'll eventually have to implement much of planner/prolog before you can really do natural language processing.

Through the years, there have been a series of texts which embody the forefront of this school. Michael Covington's book deserves to be mentioned in this regard. But for too long the baton has been held by Pereira and Schieber's book "Prolog and Natural-Language Analysis". Finally, at long last, the field has a book which can be considered to once again to have pushed the field forward. This book by Blackburn & Bos takes its place here at the vangard of the mainstream NLP research.

Long an underground classic--the book has been circulating samizdat in lecture note and draft form--this book was influential even before it was published. A partial list of innovations it introduces are:

1. Unquestionably the BEST discussion of quantifier scope handling techniques ever brought together between two covers. The story of quantifier scope handling is masterfully told from Montegue, through Cooper and Keller storage, to the the super-ultra-postmodern techniques of constraint-based underspecification.

2. Beautiful examples of prolog technique, including a way of modularizing prolog grammars from back-end semantic processing, which allows the authors to use the same grammar for many different processing backends, some which arn't even covered in this book.

3. Novel uses of both theorem provers _and_ model builders, to handle not just reasoning tasks, but also pragmatic tasks like assessing the informativity of sentences following one another in discourse.

Mastering the techniques presented in this book will make accessible to you a whole new vista. Further reaserch by this school, not covered in this book, but available in reasearch papers & lecture notes on the web, are presupposition handling, DRT-based discourse technique, and further advances in underspecified representations.

After reading a catichal text on prolog like "Art of Prolog", if you are ready to wade in the river of the mainstream of NLP research, this book is an excellent place to plung in.

A First Course on Zero Sum Repeated Games

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A First Course on Zero Sum Repeated Games
Sylvain Sorin
Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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ASIN: 3540430288

Book Description

The purpose of the book is to present the basic results in the theory of two-person zero-sum repeated games including stochastic games and repeated games with incomplete information. It underlines their relation through the operator approach and covers both asymptotic and uniform properties. The monograph is self-contained including presentation of incomplete information games, minmax theorems and approachability results. It is adressed to graduate students with no previous knowledge of the field.

A First Course in Coding Theory (Oxford Applied Mathematics and Computing Science Series)

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Satisfied Customer
Great Introduction to Coding Theory

A First Course in Coding Theory (Oxford Applied Mathematics and Computing Science Series)
Raymond Hill
Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Paperback

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Error-Correcting Codes and Finite Fields. Student Edition (Oxford Applied Mathematics and Computing Science Series)

ASIN: 0198538030

Book Description

Algebraic coding theory is a new and rapidly developing subject, popular for its many practical applications and for its fascinatingly rich mathematical structure. This book provides an elementary yet rigorous introduction to the theory of error-correcting codes. Based on courses given by
the author over several years to advanced undergraduates and first-year graduated students, this guide includes a large number of exercises, all with solutions, making the book highly suitable for individual study.

Customer Reviews:

Satisfied Customer.......2002-09-24

Prompt delivery, book was in great shape. I'd buy my next textbook this way!

Great Introduction to Coding Theory.......2000-03-27

The greatest quality of this book is that all the author expects the reader to have is a basic mathematics background (a Discrete Structures background of basic Set Theory). It contains consise explanations and straightforward proofs to all the essential theorems of the subject,but, fortunately, is NOT too elementary that it loses its true mathematical appeal. To top it all, it is chock-full of excellent applied problems in communications, image transmission, and even a party trick here or there (oh yes, friends WILL be impressed when you can error-correct an ISBN!).
In short, I think this book serves as a wonderful textbook into introductory Coding theory. And as for the subject of Coding Theory in general, maybe to spark a bit more interest in some potential customers, a thorough study of the theory will bring together all types of Mathematics (from algebra, calculus, number theory, set theory, finite geometry, and linear algebra).
All will be revealed!

A First Course in Information Theory (Information Technology: Transmission, Processing and Storage)

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A First Course in Information Theory (Information Technology: Transmission, Processing and Storage)
Raymond W. Yeung
Manufacturer: Springer
ProductGroup: Book
Binding: Paperback
ASIN: B000OSGSVS

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