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» Programming Methodologies in GCLA
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TCAD
2008
93views more  TCAD 2008»
13 years 7 months ago
Chip Optimization Through STI-Stress-Aware Placement Perturbations and Fill Insertion
Starting at the 65-nm node, stress engineering to improve the performance of transistors has been a major industry focus. An intrinsic stress source--shallow trench isolation (STI)...
Andrew B. Kahng, Puneet Sharma, Rasit Onur Topalog...
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
13 years 7 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
AIM
2000
13 years 7 months ago
Probabilistic Algorithms in Robotics
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
Sebastian Thrun
CACM
2002
92views more  CACM 2002»
13 years 7 months ago
Probabilistic robotics
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
Sebastian Thrun
ESWS
2010
Springer
13 years 11 months ago
Scalable and Parallel Reasoning in the Semantic Web
Abstract. The current state of the art regarding scalable reasoning consists of programs that run on a single machine. When the amount of data is too large, or the logic is too com...
Jacopo Urbani