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TCAD
1998
114views more  TCAD 1998»
13 years 8 months ago
Behavioral optimization using the manipulation of timing constraints
— We introduce a transformation, named rephasing, that manipulates the timing parameters in control-data-flow graphs (CDFG’s) during the high-level synthesis of data-pathinten...
Miodrag Potkonjak, Mani B. Srivastava
PROMISE
2010
13 years 3 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
COSIT
2011
Springer
269views GIS» more  COSIT 2011»
12 years 8 months ago
Analyzing the Spatial-Semantic Interaction of Points of Interest in Volunteered Geographic Information
With the increasing success and commercial integration of Volunteered Geographic Information (VGI), the focus shifts away from coverage to data quality and homogeneity. Within the ...
Christoph Mülligann, Krzysztof Janowicz, Mao ...
ICML
1999
IEEE
14 years 9 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
EUROSYS
2007
ACM
14 years 5 months ago
Comparing the performance of web server architectures
In this paper, we extensively tune and then compare the performance of web servers based on three different server architectures. The µserver utilizes an event-driven architectur...
David Pariag, Tim Brecht, Ashif S. Harji, Peter A....