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FPGA
2005
ACM
105views FPGA» more  FPGA 2005»
14 years 2 months ago
Soft error rate estimation and mitigation for SRAM-based FPGAs
FPGA-based designs are more susceptible to single-event upsets (SEUs) compared to ASIC designs. Soft error rate (SER) estimation is a crucial step in the design of soft error tole...
Ghazanfar Asadi, Mehdi Baradaran Tahoori
VR
2010
IEEE
154views Virtual Reality» more  VR 2010»
13 years 7 months ago
On error bound estimation for motion prediction
A collaborative virtual environment (CVE) allows remote users to access and modify shared data through networks, such as the Internet. However, when the users are connected via th...
Rynson W. H. Lau, Kenneth Lee
IJCNN
2008
IEEE
14 years 3 months ago
A formula of equations of states in singular learning machines
Abstract— Almost all learning machines used in computational intelligence are not regular but singular statistical models, because they are nonidentifiable and their Fisher info...
Sumio Watanabe
ICML
1998
IEEE
14 years 9 months ago
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
Michael J. Kearns, Yishay Mansour
PRIMA
2009
Springer
14 years 3 months ago
Recursive Adaptation of Stepsize Parameter for Non-stationary Environments
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
Itsuki Noda