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» Input Modeling Using Quantile Statistical Methods
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ISSRE
2000
IEEE
15 years 6 months ago
Evaluation of Regressive Methods for Automated Generation of Test Trajectories
Automated generation of test cases is a prerequisite for fast testing. Whereas the research has addressed the creation of individual test points, test trajectoiy generation has at...
Brian J. Taylor, Bojan Cukic
142
Voted
ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 1 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
108
Voted
ICPR
2008
IEEE
16 years 3 months ago
Detecting trends in social bookmarking systems using a probabilistic generative model and smoothing
We propose a method for the detection of trends in social bookmarking systems. Compared to other work in this emerging field, our approach has a more sound statistical basis. In o...
Alexander Korth, Christian Bauckhage, Florian Metz...
109
Voted
ECCV
2008
Springer
16 years 4 months ago
Calibration from Statistical Properties of the Visual World
What does a blind entity need in order to determine the geometry of the set of photocells that it carries through a changing lightfield? In this paper, we show that very crude know...
Etienne Grossmann, José António Gasp...
239
Voted
ICASSP
2011
IEEE
14 years 5 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...