'Relevant events' diaporamas de présentation

Learning objectives

Learning objectives. On conclusion of this part of the subject, the student should be able to : describe how dynamic behaviour is modelled using discrete event processes, and in particular, using events, states and finite state machines describe the concept of sequential finite state machines

603 views • 39 slides

Introduction of Probabilistic Reasoning and Bayesian Networks

Introduction of Probabilistic Reasoning and Bayesian Networks. Hongtao Du Group Presentation. Outline. Uncertain Reasoning Probabilistic Reasoning Bayesian Network (BN) Dynamic Bayesian Network (DBN). Reasoning.

470 views • 29 slides

First Breath: Initiating Prenatal Smoking Cessation Services in Communities of Color

456 views • 27 slides

Working in Partnership to develop Effective ecosystems for Entrepreneur support on campus

352 views • 23 slides

Welcome to the Nobel Park

263 views • 20 slides

Building your personal brand on social media

Presentation on building your personal brand on social media, focused on a younger, intern audience

552 views • 17 slides

On the Bursty Evolution of Blogspace

On the Bursty Evolution of Blogspace. Ravi Kumar, Jasmine Novak, Prabhakar Raghavan and Andrew Tomkins IBM Almaden Research Center, Verity Inc. WWW 2003. Main contributions. Time graph and blog graph Communities in Blogspace Temporal bursts : from a sequence of document to sets of blogs

263 views • 16 slides

The Nature of Knowledge

1.01k views • 15 slides

The TKN forum

The TKN forum. Dr Jim Briggs Centre for Healthcare Modelling and Informatics University of Portsmouth jim.briggs@port.ac.uk. How to use the forum. There are a number of ways of using this forum to exchange information with other people interested in telecare:

285 views • 12 slides

192 views • 11 slides

IRCC-6 Agenda item 10 Input from HSSC-5 IHB

IRCC-6 Agenda item 10 Input from HSSC-5 IHB. General. HSSC-5 hosted by the Maritime Safety Administration (MSA) of China Location: Shanghai, China Dates: 5 to 8 November 2013 Participation: 62 representatives

189 views • 7 slides

Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series

Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series. Guyet T. (1) , Garbay C. (1) and Dojat M. (2). (1) TIMC Laboratory , SIC Team Domaine de la Merci 38706 La Tronche, France. (2) INSERM/UJF U594 CHU Pavillon B - BP 317 - 38043 Grenoble, France.

194 views • 6 slides

NQF Inclusive dissemination year 2

131 views • 4 slides