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A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET

Related publications (36)

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Hitting Simplices with Points in $R^3$

Abdul Basit

The so-called first selection lemma states the following: given any set P of n points in a"e (d) , there exists a point in a"e (d) contained in at least c (d) n (d+1)-O(n (d) ) simplices spanned by P, where the constant c (d) depends on d. We present impro ...

2010

Liberalization and Competition in Postal Markets: Decentralized Infrastructure versus Cherry Picking

Martin Maegli

New entrants in postal markets usually set up delivery networks by concentrating on urban areas and large business customers. This implies that they operate their network highly centralized - at least in early phases of entrance. ...

2010

Labelling Game for Twitter Streams

Valérian Hanser

The main goal of this project is to build a mean and to populate a database with correct information regarding some decided pairings. This database will then be compared to the results of algorithms that process the same pairings, which provides a way to a ...

2010

Drawing Hamiltonian cycles with no large angles

János Pach

Let n >= 4 be even. It is shown that every set S of n points in the plane can be connected by a (possibly self-intersecting) spanning tour (Hamiltonian cycle) consisting of n straight-line edges such that the angle between any two consecutive edges is at m ...

Springer-Verlag2010

Alumni Profiles

Former PhD students, post-docs and junior researchers of the Section de chimie et biochimie now holding positions at different universities and private companies remember the time they spent in Geneva and give an account of how this has set off and influen ...

2009

A Topological Treatment of Early-Deciding Set-Agreement

Rachid Guerraoui, Bastian Pochon

The k-set-agreement problem consists for a set of n processes to agree on less than k among n possibly different Values, each initially known to only one process. The problem is at the heart of distributed computing and generalizes the celebrated consensus ...

2009

Structural identification to improve bridge management

Ian Smith, James-Alexandre Goulet

This paper presents results from static loads tests performed on the new Langensand Bridge built in Switzerland. A systematic study of over 1000 models subjected to three load cases identifies a set of 11 candidate models through static measurements. Predi ...

International Association for Bridge and Structural Engineering2009

Collaboration and abstract representations: towards predictive models based on raw speech and eye-tracking data

Pierre Dillenbourg, Patrick Jermann, Mirweis Sangin, Marc-Antoine Nüssli

This study aims to explore the possibility of using machine learning techniques to build predictive models of performance in collaborative induction tasks. More specifically, we explored how signal-level data, like eye-gaze data and raw speech may be used ...

International Society of the Learning Sciences2009

An integrated adaptive model for overheating risk prediction

Darren Robinson, Frédéric Haldi

Based on the results from a field survey campaign, this article describes three new developments which have been integrated to provide a comprehensive basis for the evaluation of overheating risk in offices. Firstly, a set of logistic regression equations ...

2008

Diffusion LMS algorithms with information exchange

Ali H. Sayed

We consider the problem of distributed estimation, where a set of nodes are required to collectively estimate some parameter of interest. We motivate and propose new versions of the diffusion LMS algorithm, including a version that outperforms previous sol ...

IEEE2008