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» Reformulating Constraint Models Using Input Data
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108
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IPMI
2007
Springer
16 years 3 months ago
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
Abstract. A new method is introduced for estimating single-trial magnetoor electro-encephalography (M/EEG), based on a non-linear fit of timefrequency atoms. The method can be appl...
Christian Bénar, Maureen Clerc, Théo...
117
Voted
COMPSAC
2003
IEEE
15 years 8 months ago
Automated Metamorphic Testing
Usual techniques for automatic test data generation are based on the assumption that a complete oracle will be available during the testing process. However, there are programs fo...
Arnaud Gotlieb, Bernard Botella
121
Voted
WCRE
2007
IEEE
15 years 9 months ago
Parametric Process Model Inference
Legacy applications can be difficult and time-consuming to understand and update due to the lack of modern abstraction mechanisms in legacy languages, as well as the gradual dete...
Saurabh Sinha, G. Ramalingam, Raghavan Komondoor
109
Voted
COGSCI
2002
99views more  COGSCI 2002»
15 years 2 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
116
Voted
EUSFLAT
2003
110views Fuzzy Logic» more  EUSFLAT 2003»
15 years 4 months ago
Fuzzy-neuro risk assessment of distributed real-time systems through formal and object-oriented systems modelling
The purpose of this paper is to advocate and encourage the application of fuzzy-neuro algorithms in the risk assessment of Distributed Real-Time (DRT) systems, where object-orient...
Atoosa P.-J. Thunem