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KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 7 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
CN
1999
100views more  CN 1999»
13 years 7 months ago
Testing protocols modeled as FSMs with timing parameters
An optimization method is introduced for generating minimum-length test sequences taking into account timing constraints for FSM models of communication protocols. Due to active t...
M. Ümit Uyar, Mariusz A. Fecko, Adarshpal S. ...
TIFS
2008
120views more  TIFS 2008»
13 years 7 months ago
Determining Image Origin and Integrity Using Sensor Noise
In this paper, we provide a unified framework for identifying the source digital camera from its images and for revealing digitally altered images using photo-response nonuniformit...
Mo Chen, Jessica J. Fridrich, Miroslav Goljan, Jan...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
14 years 26 days ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
GECCO
2009
Springer
14 years 2 months ago
Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila
Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimati...
Tim Hohm, Eckart Zitzler