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NIPS
2007
13 years 9 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
ATAL
2003
Springer
14 years 1 months ago
Integrating evolutionary computing and the SADDE methodology
This paper introduces a methodology to help the programmer in the transition from a set of desired global properties expressed as an equation-based model (EBM) that a Multi-Agent ...
Carles Sierra, Jordi Sabater, Jaume Agustí-...
ARTS
1997
Springer
14 years 5 days ago
PLC-Automata: A New Class of Implementable Real-Time Automata
We introduce PLC-Automata as a new class of automata which are tailored to deal with real-time properties of Programmable Logic Controllers (PLCs). These devices are often used in...
Henning Dierks
DSP
2008
13 years 8 months ago
Empirical Bayes linear regression with unknown model order
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
Yngve Selén, Erik G. Larsson
TMI
2010
133views more  TMI 2010»
13 years 6 months ago
Synthetic Magnetic Resonance Imaging Revisited
—Synthetic magnetic resonance (MR) imaging is an approach suggested in the literature to predict MR images at different design parameter settings from at least three observed MR ...
Ranjan Maitra, John J. Riddles