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» Efficient Discovery of Confounders in Large Data Sets
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MOBISYS
2007
ACM
16 years 5 months ago
Participatory user centered design techniques for a large scale ad-hoc health information system
During mass casualty incidents, an enormous amount of data, including the vital signs of the patients, the location of the patients, and the location of the first responders must ...
Tia Gao, Tammara Massey, Majid Sarrafzadeh, Leo Se...
DIS
2010
Springer
15 years 4 months ago
Discovery of Conservation Laws via Matrix Search
Abstract. One of the main goals of Discovery Science is the development and analysis of methods for automatic knowledge discovery in the natural sciences. A central area of natural...
Oliver Schulte, Mark S. Drew
LCPC
2005
Springer
15 years 11 months ago
Dynamic Compilation for Reducing Energy Consumption of I/O-Intensive Applications
Tera-scale high-performance computing has enabled scientists to tackle very large and computationally challenging scientific problems, making the advancement of scientific discov...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, A...
SAC
2004
ACM
15 years 11 months ago
LEMP: Lightweight Efficient Multicast Protocol for video on demand
In this paper, we propose a new scalable application-layer protocol, specifically designed for data streaming applications with large client sets. This is based upon a control hie...
Panayotis E. Fouliras, Spiros Xanthos, Nikolaos Ts...
NIPS
2000
15 years 7 months ago
Sparse Representation for Gaussian Process Models
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
Lehel Csató, Manfred Opper