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» An approach to benchmarking configuration complexity
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AI
2010
Springer
13 years 9 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
JMLR
2008
168views more  JMLR 2008»
13 years 9 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
ICFP
2008
ACM
14 years 9 months ago
A scheduling framework for general-purpose parallel languages
The trend in microprocessor design toward multicore and manycore processors means that future performance gains in software will largely come from harnessing parallelism. To reali...
Matthew Fluet, Mike Rainey, John H. Reppy
MTV
2007
IEEE
121views Hardware» more  MTV 2007»
14 years 3 months ago
Chico: An On-chip Hardware Checker for Pipeline Control Logic
The widening gap between CPU complexity and verification capability is becoming increasingly more salient. It is impossible to completely verify the functionality of a modern mic...
Andrew DeOrio, Adam Bauserman, Valeria Bertacco
MSS
2005
IEEE
112views Hardware» more  MSS 2005»
14 years 2 months ago
Violin: A Framework for Extensible Block-Level Storage
Storage virtualization is becoming more and more important due to the increasing gap between application requirements and the limited functionality offered by storage systems. In...
Michail Flouris, Angelos Bilas