More Pages: Alexander Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100


The interesting plot and profound characters hooked me!
I need to talk to J.D. Salinger

What a tribute to THE STAR!
What a glorious tribute to one of Hollywood's Stars!

Natural EducationVivien's lesson by lesson account of her relationship with Casals is unique in biographical writings on Casals. Accounts of lessons with Alexander are available from a variety of distinguished sources. This is the first time two such important influences have been united in the sympathetic environment of a conversation between friends. It is a valuable contribution to available writing on the Alexander Work and Music.
Brought into Being

Superb
Profound survey of laser active materials

The absurdity of wars by the example of WW I
Brilliant satire from a modern Cassandra

An Excellent book!
Good book

A must for every teacher.
This is a very good book about school law.

All the basics in one bookThis book was originally published in 2 volumes. Now they have been combined into one. Volume explains the rules, and the most basic info about the opening, ending, and how one wins a chess game.
Volume 2 covers the most useful ways to win material (pins, skewers, forks). There follows a chapter on mating attacks. Then there is more info about openings and endings. The last couple of chapters give some general advice and points the reader to other sources of chess information.
Each chapter has exercises. Some of them are simple, others challenging. Don't be discouraged if you can't work them all. My advice is to do every exercise. Write down your answers before looking at the solution. If possible, work the exercises without using a set and board in order to develop the ability to look ahead. I enjoyed working the exercises. They illustrate the lessons, and some of them challenge you to think a little deeper.
The Alburt and Pelts books are also very good. Learn Chess could be used before, after, or along with the A&P books to get a couple of views of the same information.
Excelente libro introductorio

interesting introduction to support vector machine learningAdvantage 1: Pattern recognition is a field of many disciplines. It has been studied by statisticians, mathematician, probabilists and engineering and people that call themselves computer scientists specializing in artificial intelligence. The field is old and has a long history but each discipline has developed their own jargon and many times the wheel has been reinvented. The advantage of this book is that these young scientists don't see that awful history. They have learned and mastered their subject in a basically engineering jargon but they include many concepts from statistics and statistical learning theory that are not common to engineering texts. This includes such topics as robust regression, ridge regression and spline estimation. Much of the classical statistical literature is cited. The book contains over 600 references including much of the authors own work.
Disadvantage 1: Because they are young they miss some of the important historical literature and key texts. I found it a little disappointing that the bootstrap which is a statistical tool that has played a major role in discriminant analysis (particularly in the estimation of classification error rates) was completely overlooked. Also although many important texts on pattern recognition, machine learning and discriminant analysis are cited the fine text by McLachlan is overlooked as is the recent relevant text by Hastie, Tibshirani and Friedman.
Advantage 2: This book highlights the work of Vapnik and Chervonenkis and provides nice concise descriptions that one can easily refer to when needed. The mathematics is deep and includes reproducing kernel Hilbert space and many important properties from functional analysis and statistical theory.
Disadvantage 2: The authors are more experienced at writing professional papers than at writing text books. Consequently the book does not flow well and the authors freely admit in their preface that it is best not to read the book in sequential order but rather to take the suggestions in the preface that differ based on the readers background and interest.
Having said all this, for someone like me, who is very knowledgeable about statistical pattern recognition this is a great text for getting me up to speed on an exciting new area that I know very little about. I became curious about it when I started reading Vapnik recently.
I am hoping that a careful reading of this book will give me an intuition about why this approach that incorporates kernel methods can be a powerful tool in pattern recognition and classification.
This book should be a useful reference for anyone interested in this research area. It could be used in an engineering or statistics course in pattern recognition at either the undergraduate or graduate levels depending on what material is covered.
In a recent communication with Bernhard Scholkopf I learned that his book was sent for publication before the Hastie et al. book went to press. So that is the only reason it wasn't referenced. I think that point is worth my mentioning in an editing of this review. Also on reflection I do not think the disadvantages are so great as to remove a star. So it is 5 stars for them.
I can only hope that they will reference the work of McLachlan and Hastie et al. in their future books and research on this subject.
Detailed and comprehensive

Best surgical anatomy book ever!
The best surgical anatomy book