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» A Unifying Model of Variables and Names
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TSP
2010
13 years 2 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
TEC
2008
118views more  TEC 2008»
13 years 7 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
ICSE
2003
IEEE-ACM
14 years 7 months ago
The Vienna Component Framework Enabling Composition Across Component Models
The Vienna Component Framework (VCF) supports the interoperability and composability of components across different component models, a facility that is lacking in existing compon...
Johann Oberleitner, Thomas Gschwind, Mehdi Jazayer...
VTC
2006
IEEE
14 years 1 months ago
Wideband Spatial Channel Model for MIMO Systems at 5 GHz in Indoor and Outdoor Environments
This work presents a spatial channel model developed within the EC WINNER' project. The channel model is mainly based on double-directional measurement campaigns carried out i...
Hassan El-Sallabi, Daniel S. Baum, Per Zetterberg,...
IEAAIE
2004
Springer
14 years 23 days ago
Natural Language Requirements Analysis and Class Model Generation Using UCDA
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...
Dong Liu, Kalaivani Subramaniam, Armin Eberlein, B...