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SIGIR
2006
ACM
16 years 4 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
BIBE
2005
IEEE
15 years 12 months ago
Selecting Informative Genes from Microarray Dataset by Incorporating Gene Ontology
Selecting informative genes from microarray experiments is one of the most important data analysis steps for deciphering biological information imbedded in such experiments. Howev...
Xian Xu, Aidong Zhang
AIED
2005
Springer
15 years 11 months ago
Teaching the evolution of behavior with SuperDuperWalker
SuperDuperWalker is a software-based framework for experiments on the evolution of locomotion. It simulates the behavior of evolving agents in a 3D physical simulation environment ...
Lee Spector, Jon Klein, Kyle Harrington, Raymond C...
IMC
2004
ACM
15 years 11 months ago
Robust synchronization of software clocks across the internet
Accurate, reliable timestamping which is also convenient and inexpensive is needed in many important areas including real-time network applications and network measurement. Recent...
Darryl Veitch, Satish Babu Korada, Attila Pá...
MOBICOM
2004
ACM
15 years 11 months ago
Using code collection to support large applications on mobile devices
The progress of mobile device technology unfolds a new spectrum of applications that challenges conventional infrastructure models. Most of these devices are perceived by their us...
Lucian Popa 0002, Irina Athanasiu, Costin Raiciu, ...
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