1. Neural networks based techniques for damage identification of bridges: a review of recent advances Sapienza University of Rome – StroNGER s.r.l. S. Arangio [email protected],…
1. Structural identification of the cable-stayed bridgeof the ANCRiSST SHM benchmark problemSapienza University of Rome – StroNGER s.r.l.S. Arangio, S. Mannucci, F. Bontempiemail:…
Slide 1 Minimal Neural Networks Support vector machines and Bayesian learning for neural networks Peter Andras [email protected] Slide 2 Bayesian neural networks I. The Bayes…
Slide 1 1 Practical issues and tools for modeling temporal and spatio-temporal trends in atmospheric pollutant monitoring data Paul D. Sampson Department of Statistics University…
Slide 1 RESULTS OF THE WCCI 2006 PERFORMANCE PREDICTION CHALLENGE Isabelle Guyon Amir Reza Saffari Azar Alamdari Gideon Dror Slide 2 Part I INTRODUCTION Slide 3 Model selection…
Minimal Neural Networks Support vector machines and Bayesian learning for neural networks Peter Andras [email protected] Bayesian neural networks I. The Bayes rule: Let’s…
Physics with Top Quarks Prof. Robin Erbacher University of California, Davis Lepton-Photon 2007 Something about top history Top Discovery! Tevatron Run 1 1994-5 Top Rediscovered…
Physics with Top Quarks Prof. Robin Erbacher University of California, Davis Lepton-Photon 2007 Something about top history Top Discovery! Tevatron Run 1 1994-5 Top Rediscovered…