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» New Algorithms for Statistical Analysis of Interval Data
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CCE
2006
15 years 5 months ago
Parameter estimation in continuous-time dynamic models using principal differential analysis
Principal differential analysis (PDA) is an alternative parameter estimation technique for differential equation models in which basis functions (e.g., B-splines) are fitted to dy...
A. A. Poyton, M. S. Varziri, K. B. McAuley, P. J. ...
ICPR
2008
IEEE
16 years 6 months ago
Collaborative learning by boosting in distributed environments
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
Shijun Wang, Changshui Zhang
WWW
2006
ACM
16 years 5 months ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
ATS
2010
IEEE
229views Hardware» more  ATS 2010»
15 years 3 months ago
Variation-Aware Fault Modeling
Abstract--To achieve a high product quality for nano-scale systems both realistic defect mechanisms and process variations must be taken into account. While existing approaches for...
Fabian Hopsch, Bernd Becker, Sybille Hellebrand, I...
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
16 years 5 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais