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» Combining Methods for Dynamic Multiple Classifier Systems
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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 10 months ago
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...
Kristin Potter, Andrew Wilson, Peer-Timo Bremer, D...
90
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PAMI
2002
143views more  PAMI 2002»
15 years 8 days ago
Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading
This paper describes a handwritten character string recognition system for Japanese mail address reading on very large vocabulary. The address phrases are recognized as a whole bec...
Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa
145
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EMSOFT
2008
Springer
15 years 1 months ago
On the interplay of dynamic voltage scaling and dynamic power management in real-time embedded applications
Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) are two popular techniques commonly employed to save energy in real-time embedded systems. DVS policies aim at red...
Vinay Devadas, Hakan Aydin
92
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SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
15 years 2 months ago
Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshid...
98
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AAAI
1997
15 years 1 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht