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ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 6 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
ITNG
2010
IEEE
15 years 5 months ago
Towards Adaptive Replication Reconfiguration for QoS
— Replication is a technique widely used for large networked software systems to provide qualities such as reliability, availability, performance and scalability to their clients...
Raihan Al-Ekram, Richard C. Holt
SIAMSC
2010
192views more  SIAMSC 2010»
15 years 5 months ago
Adaptive Discontinuous Galerkin Methods for Eigenvalue Problems Arising in Incompressible Fluid Flows
In this article we consider the a posteriori error estimation and adaptive mesh refinement of discontinuous Galerkin finite element approximations of the hydrodynamic stability p...
K. Andrew Cliffe, Edward J. C. Hall, Paul Houston
VLSISP
2010
205views more  VLSISP 2010»
15 years 5 months ago
Adaptable, Fast, Area-Efficient Architecture for Logarithm Approximation with Arbitrary Accuracy on FPGA
— This paper presents ALA (Adaptable Logarithm Approximation), a novel hardware architecture for the approximation of the base-2 logarithm of integers at an arbitrary accuracy, s...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
EVOW
2012
Springer
14 years 2 months ago
Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection
We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
Maciej Pacula, Jason Ansel, Saman P. Amarasinghe, ...