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RECOMB
2005
Springer
16 years 6 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 6 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
STOC
2003
ACM
174views Algorithms» more  STOC 2003»
16 years 6 months ago
Adiabatic quantum state generation and statistical zero knowledge
The design of new quantum algorithms has proven to be an extremely difficult task. This paper considers a different approach to the problem, by studying the problem of 'quant...
Dorit Aharonov, Amnon Ta-Shma
OSDI
2008
ACM
16 years 6 months ago
Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions
Abstract ? Large enterprise networks consist of thousands of services and applications. The performance and reliability of any particular application may depend on multiple service...
Xu Chen, Ming Zhang, Zhuoqing Morley Mao, Paramvir...
EDBT
2006
ACM
143views Database» more  EDBT 2006»
16 years 6 months ago
XG: A Grid-Enabled Query Processing Engine
In [12] we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. In this demo we show how this architecture is le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Thom...
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