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ICPR
2008
IEEE
16 years 1 months ago
Adaptive nonstationary regression analysis
The problem of finding the most appropriate subset of features or regressors is the generic challenge of Machine Learning problems like regression estimation or pattern recognitio...
Olga Krasotkina, Vadim Mottl
COLT
2007
Springer
16 years 23 days ago
Observational Learning in Random Networks
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
Julian Lorenz, Martin Marciniszyn, Angelika Steger
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
16 years 5 days ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
INFOCOM
2005
IEEE
16 years 5 days ago
A study of analyzing network traffic as images in real-time
—This paper presents NetViewer, a network measurement approach that can simultaneously detect, identify and visualize attacks and anomalous traffic in real-time by passively moni...
Seong Soo Kim, A. L. Narasimha Reddy
ISOLA
2004
Springer
15 years 12 months ago
Case Studies with Lurette V2
Abstract. Lurette is an automated testing tool dedicated to reactive programs. The test process is automated at two levels: given a formal description of the System Under Test (SUT...
Erwan Jahier, Pascal Raymond, Philippe Baufreton