'Data samples' diaporamas de présentation

CDF Higgs Results Winter 2012

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Human vs. Machine

Human vs. Machine. Human beings are much better at resolving signal ambiguities than are computers. Computers are improving (e.g. Watson and Jeopardy) Turing Test: Are we communicating with a human or machine?

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Understanding of data using Computational Intelligence methods

Understanding of data using Computational Intelligence methods . W?odzis?aw Duch Dept. of Informatics, Nicholas Copernicus University, Toru?, Poland http://www.phys.uni.torun.pl/~duch.

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Understanding of complex data using Computational Intelligence methods

Understanding of complex data using Computational Intelligence methods . W?odzis?aw Duch Dept. of Informatics, Nicholas Copernicus University, Toru?, Poland http://www.phys.uni.torun.pl/~duch. What am I going to say. Data and CI What we hope for. Forms of understanding.

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Variants, improvements etc. of activity recognition with wearable accelerometers

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Curves and Surfaces

Curves and Surfaces. Sriram Sethuraman 000-02-3772 Dept. of Mechanical Engineering, UTA EE 6358 Computer Vision Oct 18, 2005. Surfaces. Surfaces- 2 Fundamental Problems ? Reconstruction Segmentation of surfaces (onto a uniform grid) of surfaces into different

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Physics event reconstruction in the presence of high pile up - I

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LBDS System Re-commissioning

LBDS System Re-commissioning . C. Bracco, W. Bartmann, B. Goddard, M. Meddahi, J . Uythoven Acknowledgments: collimation team. Outline. System Overview Recap of standard commissioning procedures Changes/upgrade during LS1 for operation at 6.5 TeV with 25 ns beam:

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Geant4-based Simulation Status and Plans

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with

Computing in High Energy and Nuclear Physics, 13-17 February 2006, Mumbai, India. High Energy Physics Event Selection. with. Gene Expression Programming. Liliana Teodorescu. Outline. Introduction to evolutionary computation Gene Expression Programming (GEP)

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LECTURE 08: DIMENSIONALITY, PRINCIPAL COMPONENTS ANALYSIS

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Recent results of charmonium decaying into baryons at BESIII

Recent results of charmonium decaying into baryons at BESIII. Xu Xinping 1,2 ( 徐新平 ) on behalf of the BESIII Collaboration 1.Depart. Physics & Astronomy, Seoul National University 2. Soochow University, Suzhou 215006, P.R. China. Out line:.

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Image Modeling & Segmentation

Image Modeling & Segmentation. Aly Farag and Asem Ali Lecture #3. Parametric methods. These methods are useful when the underlying distribution is known in advance or is simple enough to be modeled by a simple distribution function or a mixture of such functions

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Ken Johns, Venkat Kaushik, Xiaowen Lei (U. Arizona)

Status and Plans for the Measurement of the Top Quark Production Cross Section in the Leptons plus Jets Channel. Ken Johns, Venkat Kaushik, Xiaowen Lei (U. Arizona). Status. Developed an ARA based framework for analyzing ESD, AOD, D2PD OR D3PD Add some details

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SKKU Lab - Meeting

SKKU Lab - Meeting. SKKU Lab-meeting, 05 .March.2014 Dong- hyun Kim on behalf of the cern-904 team Department of physics, sungkyunkwan university, korea. Content. 1. Status of Korea-Chambers 2. Plan 3. Status of Data-analysis 4. Plan. 1. Status of Korea-Chambers.

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Is this thing on?

Is this thing on?. The SARs and Nesstar. Sam Smith Data Interface Developer Samples of Anonymised Records www.ccsr.ac.uk/sars/. About the data: Samples of Anonymised Records. Microdata from 1991 & 2001 censuses Currently 5 files of up to 2 million cases and up to 150+ variables (each)

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Loggerware

Loggerware. SunSpec Members Meeting San Diego 2013. Loggerware. Base Data Acquisition and Management Acquire Collect device base data samples using Loggerware Logger Send base data to SunSpec compliant servers Archive Base data archived in Loggerware Data Storage instance

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Kona IEA Seaglider

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What are Neuro-Fuzzy Systems

What are Neuro-Fuzzy Systems. A neuro-fuzzy system is a fuzzy system that uses a learning algorithm derived from or inspired by neural network theory to determine its parameters (fuzzy sets and fuzzy rules) by processing data samples.

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