Jumat, 29 Juni 2012

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Light from the ancient East; the New Testament illustrated

This book was originally published prior to 1923, and represents a reproduction of an important historical work, maintaining the same format as the original work. While some publishers have opted to apply OCR (optical character recognition) technology to the process, we believe this leads to sub-optimal results (frequent typographical errors, strange characters and confusing formatting) and does not adequately preserve the historical character of the original artifact. We believe this work is culturally important in its original archival form. While we strive to adequately clean and digitally enhance the original work, there are occasionally instances where imperfections such as blurred or missing pages, poor pictures or errant marks may have been introduced due to either the quality of the original work or the scanning process itself. Despite these occasional imperfections, we have brought it back into print as part of our ongoing global book preservation commitment, providing customers with access to the best possible historical reprints. We appreciate your understanding of these occasional imperfections, and sincerely hope you enjoy seeing the book in a format as close as possible to that intended by the original publisher.

  • Published on: 2012-08-31
  • Original language: English
  • Dimensions: 10.00" h x 1.56" w x 7.50" l,
  • Binding: Paperback
  • 692 pages

Most helpful customer reviews

2 of 2 people found the following review helpful.
Excellent book of prophecy
By Martha N. Loesch
This book exceeded my expectations. I have been researching prophecy, especially since the recent world events and this book gives a lot of insight into the proof of the Bible and the people who lived and wrote then. The sources used are solid and there for those who care to check them out. It is interesting to note that some who insisted that the Bible is full of errors and mistakes have had to admit they were wrong. I look forward to many hours of enjoyment reading about and loving my Lord more. I stand in awe when I see the wonderful way HE has left so many thousands of infallible proofs through time to show us that we can trust HIS word to guide us in this life.

0 of 0 people found the following review helpful.
Couldn't get through the formatting problems
By Oscar Trent
This review addresses not so much the text of the book, but the formatting...

1. There is no TOC or navigation.
2. Footnotes are left in text, and some of them are very long, making it difficult to find your place between pages.
3. Greek is not formatted, since OCR technology isn't multilingual (yet).

I read about 12% of the book, but when I realized that the Greek wasn't added at all, I knew it was a lost cause. I could pull out the PDF for comparison every time I read the book, but that defeats the purpose of buying an ebook.

I create ebooks (some with Greek) so I know that is a time-consuming task to have to manually type every Greek reference. But without the Greek, this ebook was no use to me. If you don't care about the Greek then you might be able to get all the way through it. For me it was a deal-killer.

It gets 2 stars instead of 1 because I am only out 99 cents for buying this book. Also the text (that I could read) had useful info about papyri, ostraca, etc.

I hope a publisher takes the time to redo this ebook! I would give it another shot if someone does.

0 of 0 people found the following review helpful.
Good read.
By ell
Good book. Eye opening to say the least.

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Kamis, 07 Juni 2012

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Predicting Structured Data (Neural Information Processing series)From The MIT Press

Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies between arbitrary input and output domains. This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field. The contributors discuss applications as diverse as machine translation, document markup, computational biology, and information extraction, among others, providing a timely overview of an exciting field.

Contributors Yasemin Altun, Gökhan Bakir, Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daumé III, Ofer Dekel, Zoubin Ghahramani, Raia Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann, Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford Noble, Fernando Pérez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Schölkopf, Matthias W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, S.V.N Vishwanathan, Jason Weston.

  • Sales Rank: #1955208 in Books
  • Published on: 2007-07-27
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.00" h x .63" w x 8.00" l, 1.94 pounds
  • Binding: Hardcover
  • 360 pages

About the Author
Gökhan Bakir is Research Scientist at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany.

Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University.

Bernhard Schölkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. He is coauthor of Learning with Kernels (2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by the MIT Press.

Alexander J. Smola is Senior Principal Researcher and Machine Learning Program Leader at National ICT Australia/Australian National University, Canberra.

Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania.

S. V. N. Vishwanathan is an Assistant Professor of Statistics and Computer Science at Purdue University and Senior Researcher in the Statistical Machine Learning Program, National ICT Australia with an adjunct appointment at the Research School for Information Sciences and Engineering, Australian National University.

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Minggu, 03 Juni 2012

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  • Published on: 2001-01-01
  • Binding: Hardcover

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