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» The changing science of machine learning
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NIPS
2008
13 years 10 months ago
Asynchronous Distributed Learning of Topic Models
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Arthur Asuncion, Padhraic Smyth, Max Welling
WWW
2008
ACM
14 years 9 months ago
Learning transportation mode from raw gps data for geographic applications on the web
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...
Yu Zheng, Like Liu, Longhao Wang, Xing Xie
CSB
2005
IEEE
137views Bioinformatics» more  CSB 2005»
14 years 2 months ago
A Learned Comparative Expression Measure for Affymetrix GeneChip DNA Microarrays
Perhaps the most common question that a microarray study can ask is, “Between two given biological conditions, which genes exhibit changed expression levels?” Existing methods...
Will Sheffler, Eli Upfal, John Sedivy, William Sta...
KSEM
2009
Springer
14 years 3 months ago
Knowledge Maturing Services: Supporting Knowledge Maturing in Organisational Environments
The changes in the dynamics of the economy and the corresponding mobility and fluctuations of knowledge workers within organizations make continuous social learning an essential f...
Karin Schoefegger, Nicolas Weber, Stefanie N. Lind...
CSCW
1994
ACM
14 years 1 months ago
From Implementation to Design: Tailoring and the Emergence of Systematization in CSCW
In this paper, we look at how people working in a governmental labor inspection agency tailor their shared PC environment. Starting with standard off-the-shelf software, the tailo...
Randall H. Trigg, Susanne Bødker