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IJON
2007
106views more  IJON 2007»
13 years 9 months ago
Forecasting the CATS benchmark with the Double Vector Quantization method
The Double Vector Quantization (DVQ) method, a long-term forecasting method based on the self-organizing maps algorithm, has been used to predict the 100 missing values of the CAT...
Geoffroy Simon, John Aldo Lee, Marie Cottrell, Mic...
DATE
2007
IEEE
111views Hardware» more  DATE 2007»
14 years 4 months ago
CATS: cycle accurate transaction-driven simulation with multiple processor simulators
This paper focuses on enhancing performance of cycle accurate simulation with multiple processor simulators. Simulation performance is determined by how often simulators exchange ...
Dohyung Kim, Soonhoi Ha, Rajesh Gupta
IJON
2007
132views more  IJON 2007»
13 years 9 months ago
Emergence of population synchrony in a layered network of the cat visual cortex
Recently, a quantitative wiring diagram for the local neuronal network of cat visual cortex was described [T. Binzegger, R.J. Douglas, K.A.C. Martin, A quantitative map of the cir...
Jens Kremkow, Arvind Kumar, Stefan Rotter, Ad Aert...
IJON
2007
118views more  IJON 2007»
13 years 9 months ago
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
This article presents the winning solution to the CATS time series prediction competition. The solution is based on classical optimal linear estimation theory. The proposed method...
Simo Särkkä, Aki Vehtari, Jouko Lampinen
ASE
2006
148views more  ASE 2006»
13 years 9 months ago
PLFaultCAT: A Product-Line Software Fault Tree Analysis Tool
Industry currently employs a product line approach to software development and deployment as a means to enhance quality while reducing development cost and time. This effort has cr...
Josh Dehlinger, Robyn R. Lutz