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» Distributed Data Mining Models as Services on the Grid
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 10 days ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
DAIS
2001
15 years 1 months ago
Middleware Support for Context-Aware Multimedia Applications
: We describe QoSDREAM, a middleware framework for the construction and management of context-aware multimedia applications. The contributions of QoSDREAM include (1) a novel appro...
Hani Naguib, George Coulouris, Scott Mitchell
NIPS
2003
15 years 1 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
ASPLOS
1998
ACM
15 years 4 months ago
A Cost-Effective, High-Bandwidth Storage Architecture
This paper describes the Network-Attached Secure Disk (NASD) storage architecture, prototype implementations of NASD drives, array management for our architecture, and three files...
Garth A. Gibson, David Nagle, Khalil Amiri, Jeff B...
PERCOM
2010
ACM
15 years 3 months ago
Sell your experiences: a market mechanism based incentive for participatory sensing
—This paper studies economic models of user participation incentive in participatory sensing applications. User participation is the most important element in participatory sensi...
Juong-Sik Lee, Baik Hoh