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» Robust Induction of Process Models from Time-Series Data
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EOR
2007
165views more  EOR 2007»
15 years 3 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
ICML
2008
IEEE
16 years 3 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
GIS
2008
ACM
16 years 4 months ago
Using tomography for ubiquitous sensing
By embedding sensors in mobile devices, it is possible to exploit the ubiquitous presence of these devices to construct applications for large-scale sensing and monitoring of envi...
Stacy Patterson, Bassam Bamieh, Amr El Abbadi
ACSAC
2003
IEEE
15 years 6 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...
CVPR
2011
IEEE
14 years 8 months ago
Reduced Epipolar Cost for Accelerated Incremental SfM
We propose a reduced algebraic cost based on pairwise epipolar constraints for the iterative refinement of a multiple view 3D reconstruction. The aim is to accelerate the intermedi...
A. L. Rodriguez, P E. Lopez-de-Teruel, A. Ruiz