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CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
14 years 10 months ago
Closed-loop optimal experiment design: The partial correlation approach
Abstract-- We consider optimal experiment design for parametric prediction error system identification of linear timeinvariant systems in closed loop. The optimisation is performed...
Roland Hildebrand, Michel Gevers, Gabriel Solari
NFM
2011
223views Formal Methods» more  NFM 2011»
14 years 10 months ago
Generating Data Race Witnesses by an SMT-Based Analysis
Abstract. Data race is one of the most dangerous errors in multithreaded programming, and despite intensive studies, it remains a notorious cause of failures in concurrent systems....
Mahmoud Said, Chao Wang, Zijiang Yang, Karem Sakal...
JMLR
2012
13 years 5 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
AAAI
2012
13 years 5 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
ENGL
2007
100views more  ENGL 2007»
15 years 2 months ago
Utilizing Computational Intelligence to Assist in Software Release Decision
—Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discov...
Tong-Seng Quah, Mie Mie Thet Thwin