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» Signal Processing in Large Systems: a New Paradigm
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BIS
2009
192views Business» more  BIS 2009»
13 years 9 months ago
Advanced Social Features in a Recommendation System for Process Modeling
Abstract. Social software is known to stimulate the exchange and sharing of information among peers. This paper describes how an existing system that supports process builders in c...
Agnes Koschmider, Minseok Song, Hajo A. Reijers
ICML
2009
IEEE
14 years 8 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
SIGIR
2008
ACM
13 years 7 months ago
Crowdsourcing for relevance evaluation
Relevance evaluation is an essential part of the development and maintenance of information retrieval systems. Yet traditional evaluation approaches have several limitations; in p...
Omar Alonso, Daniel E. Rose, Benjamin Stewart
BMCBI
2010
108views more  BMCBI 2010»
13 years 8 months ago
Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
HICSS
2008
IEEE
143views Biometrics» more  HICSS 2008»
14 years 2 months ago
Soft Innovation as Data-Driven Process Improvement Exploited via Integrated Hospital Information Systems
Soft innovations are regarded as insightful, useful ideas originating from stakeholders within the organization. This study takes a new approach to examining the origins of soft i...
Jim Ryan, Barbara Doster, Sandra Daily, Marty Hesl...