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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 10 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
SC
2009
ACM
14 years 2 months ago
Enabling high-fidelity neutron transport simulations on petascale architectures
The UNIC code is being developed as part of the DOE’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) program. UNIC is an unstructured, deterministic neutron transport c...
Dinesh K. Kaushik, Micheal Smith, Allan Wollaber, ...
IJMMS
2011
104views more  IJMMS 2011»
13 years 2 months ago
Revisiting path steering for 3D manipulation tasks
The law of path steering, as proposed by Accot and Zhai, describes a quantitative relationship between human temporal performance and the path’s spatial characteristics. The ste...
Lei Liu, Jean-Bernard Martens, Robert van Liere
EMSOFT
2007
Springer
13 years 11 months ago
Verification of device drivers and intelligent controllers: a case study
The soundness of device drivers generally cannot be verified in isolation, but has to take into account the reactions of the hardware devices. In critical embedded systems, interf...
David Monniaux
WSC
2000
13 years 8 months ago
A comparison of five steady-state truncation heuristics for simulation
We compare the performance of five well-known truncation heuristics for mitigating the effects of initialization bias in the output analysis of steady-state simulations. Two of th...
K. Preston White, Michael J. Cobb, Stephen C. Spra...