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ML
2012
ACM
385views Machine Learning» more  ML 2012»
12 years 4 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
PE
2011
Springer
266views Optimization» more  PE 2011»
13 years 3 months ago
Lumping partially symmetrical stochastic models
Performance and dependability evaluation of complex systems by means of dynamic stochastic models (e.g. Markov chains) may be impaired by the combinatorial explosion of their stat...
Souheib Baarir, Marco Beccuti, Claude Dutheillet, ...
WORDS
2002
IEEE
14 years 1 months ago
Meta-Programming Techniques for Distributed Real-time and Embedded Systems
Commercial off-the-shelf (COTS) middleware increasingly offers not only functional support for standard interfaces, but also the ability to optimize their resource consumption pat...
Joseph K. Cross, Douglas C. Schmidt
ISESE
2006
IEEE
14 years 2 months ago
A goal question metric based approach for efficient measurement framework definition
In software engineering, measurements can be used to monitor, understand and improve software processes as well as products and resource utilization. Commonly, measurement framewo...
Patrik Berander, Per Jönsson
PROFES
2005
Springer
14 years 2 months ago
Comprehensive Documentation Made Agile - Experiments with RaPiD7 in Philips
This paper addresses the almost never-ending headache the role of documentation has given for software projects. Working software has been given recently a focus over comprehensive...
Ko Dooms, Roope Kylmäkoski