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DATE
2009
IEEE
113views Hardware» more  DATE 2009»
16 years 1 months ago
Incorporating graceful degradation into embedded system design
In this work, the focus is put on the behavior of a system in case a fault occurs that disables the system from executing its applications. Instead of executing a random subset of...
Michael Glaß, Martin Lukasiewycz, Christian ...
ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
15 years 8 months ago
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
EMSOFT
2010
Springer
15 years 4 months ago
Resource adaptations with servers for hard real-time systems
Many real-time applications are designed to work in different operating modes each characterized by different functionality and resource demands. With each mode change, resource d...
Nikolay Stoimenov, Lothar Thiele, Luca Santinelli,...
TIP
1998
129views more  TIP 1998»
15 years 6 months ago
Minimax partial distortion competitive learning for optimal codebook design
— The design of the optimal codebook for a given codebook size and input source is a challenging puzzle that remains to be solved. The key problem in optimal codebook design is h...
Ce Zhu, Lai-Man Po
ICML
2003
IEEE
16 years 7 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm