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EUROPAR
2010
Springer
15 years 5 months ago
A Language-Based Tuning Mechanism for Task and Pipeline Parallelism
Abstract. Current multicore computers differ in many hardware aspects. Tuning parallel applications is indispensable to achieve best performance on a particular hardware platform....
Frank Otto, Christoph A. Schaefer, Matthias Dempe,...
ICGI
2000
Springer
15 years 10 months ago
Counting Extensional Differences in BC-Learning
Let BC be the model of behaviourally correct function learning as introduced by B
Frank Stephan, Sebastiaan Terwijn
IEICET
2007
114views more  IEICET 2007»
15 years 6 months ago
Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
Shun Gokita, Masashi Sugiyama, Keisuke Sakurai
ML
2010
ACM
159views Machine Learning» more  ML 2010»
15 years 5 months ago
Algorithms for optimal dyadic decision trees
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
Don R. Hush, Reid B. Porter
ICML
2009
IEEE
16 years 7 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do