Interesting NIPS papers, take 1
my biased thoughts on the fields of natural language processing (NLP), computational linguistics (CL) and related topics (machine learning, math, funding, etc.) I just got back from NIPS. Kevin Duh was nice enough to forward his "top N" list of NIPS papers; I'll post my own shortly. Thanks Kevin! "Large Margin Taxonomy Embedding for Document Categorization" - Kilian Weinberger, Olivier Chapelle (Y
NIPS 2008 Proceedings
Advances in Neural Information Processing Systems 21 (NIPS 2008) The papers below appear in Advances in Neural Information Processing Systems 21 edited by D. Koller and D. Schuurmans and Y. Bengio and L. Bottou. They are proceedings from the conference, "Neural Information Processing Systems 2008." Structure Learning in Human Sequential Decision-Making Daniel Acuna, Paul R. Schrater The Gaussian P
Search Engines: Information Retrieval in Practice
Authors W. Bruce Croft, University of Massachusetts Donald Metzler, Google Trevor Strohman, Google Getting the book Amazon Barnes and Noble Resources Slides Test Collections Errata Galago Search Toolkit Lemur Stopword List About the book Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice is designed to give undergraduate students the unders
Q4M - a Message Queue for MySQL
Q4M (Queue for MySQL) is a message queue licensed under GPL that works as a pluggable storage engine of MySQL, designed to be robust, fast, flexible. It is already in production quality, and is used by several web services (see Users of Q4M). To start using Q4M, download either a binary or source distribution from the install page, and follow the installation instructions. A small tutorial is also
GoogleNewsã®ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‰ã®ä¸èº« - UMEko Branding
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最大マージンクラスタリング - DO++
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