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» Analyzing Non-Interference with respect to Classes
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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 4 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
APSEC
2008
IEEE
15 years 4 months ago
Management of Composites in Software Engineering Environments
Design and development scalability, in any engineering, requires information hiding and a specific composition mechanism in which composite items are made-up of other items. This ...
Jacky Estublier, Germán Vega, Thomas Levequ...
IJCNN
2007
IEEE
15 years 3 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
SAS
2007
Springer
15 years 3 months ago
Program Analysis Using Symbolic Ranges
Interval analysis seeks static lower and upper bounds on the values of program variables. These bounds are useful, especially for inferring invariants to prove buffer overflow ch...
Sriram Sankaranarayanan, Franjo Ivancic, Aarti Gup...
COLT
2005
Springer
15 years 3 months ago
A PAC-Style Model for Learning from Labeled and Unlabeled Data
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Maria-Florina Balcan, Avrim Blum