Adaptive sampling in environmental Robotics Mohammad Rahimi, Gaurav sukhatme, William Kaiser, Mani Srivastava, Deborah Estrin.
Controlling the False Discovery Rate: From A strophysics to B ioinformatics Jim Linnemann MSU Physics & Astronomy SAMSI March 7, 2006.
Nairobi, Kenya, 26 – 27July 2010 ICNIRP: Organization, Methodology, Activities Paolo Vecchia ICNIRP Chairman ITU-T Workshop on Delivering Good Quality.
SDM programme, UNFCCC secretariat Kishor Rajhansa, Programme Officer STATUS AND WAY FORWARD ON STANDARDIZED BASELINES UNFCCC Joint coordination Workshop.
AREP GAW Section 9 Pollutant Lifecycles and Trends Definitions and Importance Multi-year (Long-term) Trends Seasonal Trends Short-term Changes.
ADMINISTRATIVE ENGLISH. ELECTION 1. DIFFERENT KINDS OF ELECTION general election – choosing a national parliament local election – choosing a local council.
Sampling and monitoring the environment Marian Scott Sept 2006.
Introduction to Neural Networks Neural Nets slides mostly from: Andy Philippides,University of Sussex.
1 Inference on SPMs: Random Field Theory & Alternatives Thomas Nichols, Ph.D. Department of Statistics & Warwick Manufacturing Group University of Warwick.
Machine learning and imprecise probabilities for computer vision Fabio Cuzzolin IDIAP, Martigny, 19/4/2006.
Threshold Concepts and Troublesome Knowledge A Transformative Approach to Learning Ray Land, University of Strathclyde, Glasgow Lancaster Ed Res May 13.
Introduction to Neural Networks Andy Philippides Centre for Computational Neuroscience and Robotics (CCNR) School of Cognitive and Computing Sciences/School.