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Fundamentals of GPS Receivers - A Hardware Approach
Evolvable Systems - From Biology to Hardware
Designing Embedded Hardware, 2nd edition (Repost)
Evolvable Systems: From Biology to Hardware
Make - Arduino Bots and Gadgets - Six Embedded Projects with Open Source Hardware and Software
Taunton's Complete Illustrated Guide to Choosing and Installing Hardware
Make: Arduino Bots and Gadgets: Six Embedded Projects with Open Source Hardware and Software (Repost)
Introduction to Hardware Security and Trust
The Art of Hardware Architecture: Design Methods and Techniques for Digital Circuits
Fundamentals of GPS Receivers: A Hardware Approach
Michael Gook, «PC Hardware Interfaces: A Developer's Reference»(repost)
Computer Organization and Design, Fourth Edition, Fourth Edition: The Hardware/Software Interface (New Link)
Multicore Systems-on-chip: Practical Hardware/Software Design Issues
Higher Order Logic and Hardware Verification
Donald E. Thomas, Philip R. Moorby, "The Verilog Hardware Description Language" (repost)
Stuart Sutherland, "SystemVerilog for Design: A Guide to Using SystemVerilog for Hardware Design and Modeling"(Repost)
PC Hardwarebuch . Aufbau, Funktionsweise, Programmierung
Evolvable Hardware (Repost)
Kompendium der Informationstechnologie: Hardware, Software, Client-Server-Systeme, Netzwerke, Datenbanken (Repost)
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Hardware Learning Machine Translation (Neural Information Processing)
Posted on 2010-03-16
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More Learning Machine Translation (Neural Information Processing) The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how machine learning techniques can improve statistical machine translation, currently at the forefront of research in the field. The book looks first at enabling technologies—technologies that solve problems that are not machine translation proper but are linked closely to the development of a machine translation system. These include the acquisition of bilingual sentence-aligned data from comparable corpora, automatic construction of multilingual name dictionaries, and word alignment. The book then presents new or improved statistical machine translation techniques, including a discriminative training framework for leveraging syntactic information, the use of semi-supervised and kernel-based learning methods, and the combination of multiple machine translation outputs in order to improve overall translation quality. Contributors: Srinivas Bangalore, Nicola Cancedda, Josep M. Crego, Marc Dymetman, Jakob Elming, George Foster, Jesús Giménez, Cyril Goutte, Nizar Habash, Gholamreza Haffari, Patrick Haffner, Hitoshi Isahara, Stephan Kanthak, Alexandre Klementiev, Gregor Leusch, Pierre Mahé, Lluís Màrquez, Evgeny Matusov, I. Dan Melamed, Ion Muslea, Hermann Ney, Bruno Pouliquen, Dan Roth, Anoop Sarkar, John Shawe-Taylor, Ralf Steinberger, Joseph Turian, Nicola Ueffing, Masao Utiyama, Zhuoran Wang, Benjamin Wellington, Kenji Yamada Neural Information Processing series Download FREE
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