'Individual model' presentation slideshows

Multi-model ensemble predictions on seasonal timescales

Multi-model ensemble predictions on seasonal timescales. Tim Stockdale European Centre for Medium-Range Weather Forecasts (Some material from Antje Weisheimer ). Structure of the lecture. The multi-model concept Example: results from DEMETER

567 views • 44 slides

Aims

The Equality Act 2010 LSIS Associate: Rosie Rutherford LLB. Equality and Diversity Consultant at Cymbiosis Consultancy Ltd. Aims . Update on the Equality Act 2010 - getting to grips with the changes. Understand - liabilities and responsibilities as an employer,

568 views • 44 slides

National Hurricane Center 2010 Forecast Verification

National Hurricane Center 2010 Forecast Verification. James L. Franklin and John Cangialosi Hurricane Specialist Unit National Hurricane Center 2011 Interdepartmental Hurricane Conference. 2010 Atlantic Verification. VT NT TRACK INT ( h ) ( n mi) (kt)

407 views • 28 slides

Topics and Transitions: Investigation of User Search Behavior

326 views • 27 slides

Huug van den Dool and Steve Lord International Multi Model Ensemble

Huug van den Dool and Steve Lord International Multi Model Ensemble. Two Consolidation Projects:. Towards an International MME: CFS+EUROSIP(UKMO,ECMWF,METF) 11 slides Towards a National MME: CFS and GFDL, and NCAR/ CCM3.0/3.5 and NASA/GFSC 18 slides.

394 views • 26 slides

User Models for Personalization

User Models for Personalization. Josh Alspector Chief Technology Officer. One-to-One Marketing. Peppers & Rogers Customized products, services for individual customers Market knowledge from observations, dialogue and feedback with individuals Focus on customer loyalty

332 views • 26 slides

Large-Margin Feature Adaptation for Automatic Speech Recognition

Large-Margin Feature Adaptation for Automatic Speech Recognition. Chih-Chieh Cheng #1, Fei Sha 2 and Lawrence K. Saul #3 # Department of Computer Science and Engineering, University of California, San Diego 1 chc028@cs.ucsd.edu 3 saul@cs.ucsd.edu

333 views • 25 slides

Resolving Motion Correspondence for Densely Moving Points

Resolving Motion Correspondence for Densely Moving Points . By C.J. Veenman, M.J.T. Reinders, and E. Backer . What are we going to do? Lecture plan. Describe a task in general Describe a task more formally Discuss problems and constraints Discuss four algorithms to solve the task.

299 views • 23 slides

Done by : Latifa Ebrahim Al Doy

Chapter 8. Data analysis, interpretation and presentation. Done by : Latifa Ebrahim Al Doy. Overview. Qualitative and quantitative Simple quantitative analysis Simple qualitative analysis Tools to support data analysis

323 views • 19 slides

Topics and Transitions: Investigation of User Search Behavior

270 views • 19 slides

Disability Paradigms and Models and Rehabilitation Practice

Disability Paradigms and Models and Rehabilitation Practice. Lesley Jordan School of Health and Social Sciences Middlesex University. Issue: Engaging social model with rehabilitation services Aims: Provide a framework for analysis ( illustrated by aphasia therapy )

400 views • 18 slides

Grinols and Mustard

307 views • 17 slides

Leveraging ... User Models

Leveraging ... User Models. Leveraging Data About Users in General in the Learning of Individual User Models* Anthony Jameson PhD (Psychology) Adjunct Professor of HCI Frank Wittig CS Researcher Saarland University, Saarbrucken Germany * i.e. pooling knowledge to improve learning accuracy.

305 views • 17 slides

Stop Watch

Stop Watch. Sean Hicks Dongpu Jin ELEC 307 Project 2 Instructor: Alvaro Pinto April/12/2011. Overview. Background and Theory Specification Explanation Summary Work to Be Done Conclusion. Background and Theory. We are modeling a stop watch using a FPGA board.

465 views • 14 slides

Advanced Testing Capability (ATC)

Advanced Testing Capability (ATC). What need is the ATC addressing? Testing for distributed simulation environments is usually a two step process: models are first tested individually based on the system design, followed by their integration into the larger system.

115 views • 2 slides

ABSTRACT

FUTURE CLIMATE PROJECTIONS. ABSTRACT

66 views • 1 slides

Computational Sciences and Engineering Oak Ridge National Laboratory 1, Bethel Valley Road

Evaluating Projected Changes in Mean Processes, Extreme Events, and their Spatio-Temporal Dependence Structures Auroop R. Ganguly* 1 , Karsten Steinhaeuser 1 , Evan Kodra 1 , Shih-Chieh Kao 1 , Subimal Ghosh 2 1 Oak Ridge National Laboratory 2 Indian Institute of Technology, Bombay.

115 views • 1 slides

ABSTRACT

Incorporating Multi-model Ensemble Techniques into a Probabilistic Hydrologic Forecasting System: Relative Merits of Ensemble vs. Bias-Corrected Models Mergia Y. Sonessa, Theodore J. Bohn and Dennis P. Lettenmaier

138 views • 1 slides