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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ATAL
2010
Springer
15 years 4 months ago
Asynchronous algorithms for approximate distributed constraint optimization with quality bounds
Distributed Constraint Optimization (DCOP) is a popular framework for cooperative multi-agent decision making. DCOP is NPhard, so an important line of work focuses on developing f...
Christopher Kiekintveld, Zhengyu Yin, Atul Kumar, ...
137
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BMCBI
2007
134views more  BMCBI 2007»
15 years 3 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
JUCS
2008
113views more  JUCS 2008»
15 years 3 months ago
What is Correctness of Security Protocols?
: As soon as major protocol flaws were discovered empirically -- a good luck that is not older than the early 1990s -- this title question came up to the world. It was soon realise...
Giampaolo Bella
MANSCI
2008
169views more  MANSCI 2008»
15 years 2 months ago
Service Adoption and Pricing of Content Delivery Network (CDN) Services
Content Delivery Networks (CDNs) are a vital component of the Internet's content delivery value chain, servicing nearly a third of the Internet's most popular content si...
Kartik Hosanagar, John C.-I. Chuang, Ramayya Krish...