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NIPS
2003
15 years 8 months ago
Measure Based Regularization
We address in this paper the question of how the knowledge of the marginal distribution P(x) can be incorporated in a learning algorithm. We suggest three theoretical methods for ...
Olivier Bousquet, Olivier Chapelle, Matthias Hein
ESANN
2008
15 years 8 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
WWW
2005
ACM
16 years 7 months ago
Analyzing online discussion for marketing intelligence
We present a system that gathers and analyzes online discussion as it relates to consumer products. Weblogs and online message boards provide forums that record the voice of the p...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...
JRTIP
2010
137views more  JRTIP 2010»
15 years 1 months ago
Cascaded online boosting
In this paper, we propose a cascaded version of the online boosting algorithm to speed-up the execution time and guarantee real-time performance even when employing a large number ...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
ESA
2001
Springer
75views Algorithms» more  ESA 2001»
15 years 11 months ago
Strongly Competitive Algorithms for Caching with Pipelined Prefetching
Suppose that a program makes a sequence of m accesses (references) to data blocks, the cache can hold k < m blocks, an access to a block in the cache incurs one time unit, and ...
Alexander Gaysinsky, Alon Itai, Hadas Shachnai