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ICML
2009
IEEE
14 years 11 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
HICSS
2006
IEEE
188views Biometrics» more  HICSS 2006»
14 years 4 months ago
Scalable Online Discussions as Listening Technology
This paper presents a novel online discussion environment that efficiently supports listening processes inspired by more collaborative management practices. This participative man...
Baldo Faieta, Bernardo A. Huberman, Paul Verhaeghe
ERCIMDL
2005
Springer
124views Education» more  ERCIMDL 2005»
14 years 3 months ago
A Comparison of On-Line Computer Science Citation Databases
This paper examines the difference and similarities between the two on-line computer science citation databases DBLP and CiteSeer. The database entries in DBLP are inserted manual...
Vaclav Petricek, Ingemar J. Cox, Hui Han, Isaac G....
NIPS
2001
13 years 11 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
IDA
2002
Springer
13 years 10 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last