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» Results Merging Algorithm Using Multiple Regression Models
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ICML
2008
IEEE
16 years 3 months ago
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Ethem Alpaydin, Mehmet Gönen
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
14 years 9 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
BMCBI
2007
194views more  BMCBI 2007»
15 years 2 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
CGF
2010
163views more  CGF 2010»
15 years 2 months ago
Meshless Shape and Motion Design for Multiple Deformable Objects
We present physically based algorithms for interactive deformable shape and motion modeling. We coarsely sample the objects with simulation nodes, and apply a meshless finite elem...
Bart Adams, Martin Wicke, Maks Ovsjanikov, Michael...
IPPS
2003
IEEE
15 years 7 months ago
UMR: A Multi-Round Algorithm for Scheduling Divisible Workloads
In this paper we present an algorithm for scheduling parallel applications that consist of a divisible workload. Our algorithm uses multiple rounds to overlap communication and co...
Yang Yang, Henri Casanova