Concept

Akaike information criterion

Related publications (95)

Automatic and computationally efficient method for model selection in inertial sensor calibration

The identification and selection of a small set of models that are able to well describe and predict the error signals coming from IMU sensors is of utmost importance to improve the navigation precision of these devices. For this reason, in this paper we p ...

2015

Cholera in the Lake Kivu region (DRC): Integrating remote sensing and spatially explicit epidemiological modeling

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Flavio Finger, Allyn Christine Knox, Marino Gatto

Mathematical models of cholera dynamics can not only help in identifying environmental drivers and processes that influence disease transmission, but may also represent valuable tools for the prediction of the epidemiological patterns in time and space as ...

American Geophysical Union2014

Diffusion LMS for Clustered Multitask Networks

Ali H. Sayed

Recent research works on distributed adaptive networks have inten- sively studied the case where the nodes estimate a common parame- ter vector collaboratively. However, there are many applications that are multitask-oriented in the sense that there are mu ...

2014

Modelling Plasticity in Nanoscale Contact

Till Junge

The problem of mechanical contact is a truly multiscale one. Atomistic effects that violate continuum theory dominate the deformations of contacting asperities, while the interactions between distant asperities occur through long-range elasticity. This the ...

EPFL2014

Plastic activity in nanoscratch molecular dynamics simulations of pure aluminium

Jean-François Molinari, Till Junge

Atomistic models for friction suffer from the severe length- and time-scale restrictions of molecular dynamics. In this paper, a novel approach to quantify the scratching work and the energy associated with plastic activity is used. The approach is combine ...

Pergamon-Elsevier Science Ltd2014

Robust distributed detection over adaptive diffusion networks

Ali H. Sayed, Ali Zoubir

Diffusion adaptation techniques based on the least-mean-squares criterion have been proposed for distributed detection of a signal in Gaussian-distributed noise, forgoing the need for a fusion center. However, least-mean-squares solutions are generally non ...

IEEE2014

Inter-laboratory trial of a standardized sediment contact test with the aquatic plant Myriophyllum aquaticum (ISO 16191)

A whole-sediment toxicity test with Myriophyllum aquaticum has been developed by the German Federal Institute of Hydrology and standardized within the International Organization for Standardization (ISO; ISO 16191). An international ring-test was performed ...

Society of Environmental Toxicology and Chemistry Press2014

Multitask Diffusion Adaptation Over Networks

Ali H. Sayed, Jie Chen

Adaptive networks are suitable for decentralized inference tasks. Recent works have intensively studied distributed optimization problems in the case where the nodes have to estimate a single optimum parameter vector collaboratively. However, there are man ...

Institute of Electrical and Electronics Engineers2014

Statistical analysis and modeling of intermittent transport events in the tokamak scrape-off layer

Ivo Furno, Paolo Ricci, Federico David Halpern

The turbulence observed in the scrape-off-layer of a tokamak is often characterized by intermittent events of bursty nature, a feature which raises concerns about the prediction of heat loads on the physical boundaries of the device. It appears thus necess ...

2014

How physical process knowledge adds information to predictions; an Algorithmic Information Theory perspective

Marc Parlange, Steven Vincent Weijs

Can the physical knowledge put into hydrological models add information to predictions? Current practise in modelling suggests that this is indeed assumed to be the case, given that physically based models play an important role in science and engineering. ...

2014

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