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PPSN
1994
Springer
15 years 10 months ago
Convergence Models of Genetic Algorithm Selection Schemes
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
Dirk Thierens, David E. Goldberg
DEXAW
2003
IEEE
164views Database» more  DEXAW 2003»
15 years 11 months ago
Towards an Open Service Architecture for Data Mining on the Grid
Across a wide variety of fields, huge datasets are being collected and accumulated at a dramatical pace. The datasets addressed by individual applications are very often heteroge...
Peter Brezany, Jürgen Hofer, Alexander Wö...
SIGGRAPH
1996
ACM
15 years 10 months ago
Consequences of Stratified Sampling in Graphics
Antialiased pixel values are often computed as the mean of N point samples. Using uniformly distributed random samples, the central limit theorem predicts a variance of the mean o...
Don P. Mitchell
ILP
2001
Springer
15 years 11 months ago
Learning Functions from Imperfect Positive Data
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
Filip Zelezný
HPCC
2007
Springer
15 years 10 months ago
An Exploration of Performance Attributes for Symbolic Modeling of Emerging Processing Devices
Vector, emerging (homogenous and heterogeneous) multi-core and a number of accelerator processing devices potentially offer an order of magnitude speedup for scientific application...
Sadaf R. Alam, Nikhil Bhatia, Jeffrey S. Vetter