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ECML
2005
Springer
15 years 3 months ago
Kernel Basis Pursuit
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Vincent Guigue, Alain Rakotomamonjy, Stépha...
GROUP
2007
ACM
15 years 1 months ago
Knowledge work artifacts: kernel cousins for free/open source software development
Most empirical studies of peer production have focused on the final products of these efforts (such as software in Free/Open Source projects), but there are also many other knowle...
Margaret S. Elliott, Mark S. Ackerman, Walt Scacch...
ETS
2000
IEEE
154views Hardware» more  ETS 2000»
14 years 9 months ago
Task Structuring for On-line Problem Based Learning: A Case Study
Getting students to collaborate on group projects in a face-to-face scenario can be difficult enough -- but how does one approach collaborative projects in a Web-based environment...
Vanessa Paz Dennen
ICML
2009
IEEE
15 years 10 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...
EMNLP
2008
14 years 11 months ago
Online Methods for Multi-Domain Learning and Adaptation
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
Mark Dredze, Koby Crammer