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» The Structure and Performance of Interpreters
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ICASSP
2011
IEEE
14 years 11 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
FQAS
2006
Springer
76views Database» more  FQAS 2006»
15 years 11 months ago
Why Using Structural Hints in XML Retrieval?
Abstract. When querying XML collections, users cannot always express their need in a precise way. Systems should therefore support vagueness at both the content and structural leve...
Karen Sauvagnat, Mohand Boughanem, Claude Chrismen...
IPPS
2009
IEEE
16 years 2 months ago
Annotation-based empirical performance tuning using Orio
In many scientific applications, significant time is spent tuning codes for a particular highperformance architecture. Tuning approaches range from the relatively nonintrusive (...
Albert Hartono, Boyana Norris, Ponnuswamy Sadayapp...
CCGRID
2007
IEEE
16 years 1 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
EMSOFT
2007
Springer
16 years 1 months ago
Optimal task placement to improve cache performance
Most recent embedded systems use caches to improve their average performance. Current timing analyses are able to compute safe timing guarantees for these systems, if tasks are ru...
Gernot Gebhard, Sebastian Altmeyer