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ML
2000
ACM
157views Machine Learning» more  ML 2000»
15 years 3 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
PVLDB
2010
139views more  PVLDB 2010»
15 years 2 months ago
Aether: A Scalable Approach to Logging
The shift to multi-core hardware brings new challenges to database systems, as the software parallelism determines performance. Even though database systems traditionally accommod...
Ryan Johnson, Ippokratis Pandis, Radu Stoica, Mano...
IJAR
2011
86views more  IJAR 2011»
14 years 7 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel
134
Voted
DAC
2005
ACM
16 years 4 months ago
A non-parametric approach for dynamic range estimation of nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm
133
Voted
ERCIMDL
2009
Springer
103views Education» more  ERCIMDL 2009»
15 years 10 months ago
Functional Adaptivity for Digital Library Services in e-Infrastructures: The gCube Approach
We consider the problem of e-Infrastructures that wish to reconcile the generality of their services with the bespoke requirements of diverse user communities. We motivate the requ...
Fabio Simeoni, Leonardo Candela, David Lievens, Pa...