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NN
2006
Springer
9 years 11 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
EUSFLAT
2001
131views Fuzzy Logic» more  EUSFLAT 2001»
10 years 1 months ago
Fuzzy-statistics with vague concepts
The aim of this paper is to give a.sketch of a foundation of statistical analysis with fuzzy data, extending the methodology of Mathematical Stat,istics. For t.hispurpose it will ...
Volker Krätschmer
ICCD
2005
IEEE
108views Hardware» more  ICCD 2005»
10 years 8 months ago
Methods for Modeling Resource Contention on Simultaneous Multithreading Processors
Simultaneous multithreading (SMT) seeks to improve the computation throughput of a processor core by sharing primary resources such as functional units, issue bandwidth, and cache...
Tipp Moseley, Dirk Grunwald, Joshua L. Kihm, Danie...
HPCA
2006
IEEE
11 years 5 days ago
Construction and use of linear regression models for processor performance analysis
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
11 years 6 days ago
Scalable look-ahead linear regression trees
Most decision tree algorithms base their splitting decisions on a piecewise constant model. Often these splitting algorithms are extrapolated to trees with non-constant models at ...
David S. Vogel, Ognian Asparouhov, Tobias Scheffer
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