Publications associées à Ajustement de loi de probabilité

Two Full Parameter Identification Methods for Synchronous Machine Applying DC-Decay Tests for a Rotor in Arbitrary Position

Jean-Jacques Simond, Mai Tu Xuan, Frédéric Michael Maurer

The main obstacle to a wide use of dc-Decay tests lies in the necessity to align the rotor with the d- or q-axis, which is very difficult to perform for high-power units. The goal of this paper is to propose and validate standstill dc-Decay measuring metho ...

Ieee-Inst Electrical Electronics Engineers Inc2017

A randomised primal-dual algorithm for distributed radio-interferometric imaging

Yves Wiaux, Rafael Eduardo Carrillo Rangel, Jason Douglas McEwen

Next generation radio telescopes, like the Square Kilometre Array, will acquire an unprecedented amount of data for radio astronomy. The development of fast, parallelisable or distributed algorithms for handling such large-scale data sets is of prime impor ...

Ieee2016

TRANSFORMERS: Robust Spatial Joins on Non-Uniform Data Distributions

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Mirjana Pavlovic

Spatial joins are becoming increasingly ubiquitous in many applications, particularly in the scientific domain. While several approaches have been proposed for joining spatial datasets, each of them has a strength for a particular type of density ratio amo ...

IEEE2016

Parallel algorithms for tensor completion in the CP format

Daniel Kressner, André Uschmajew

Low-rank tensor completion addresses the task of filling in missing entries in multidimensional data. It has proven its versatility in numerous applications, including context aware recommender systems and multivariate function learning. To handle large-sc ...

Elsevier Science Bv2016

Incorporating Climate Change Predictions in the Analysis of Weather-based Uncertainty

Marilyne Andersen, Parag Rastogi

This paper proposes randomly-generated synthetic time series incorporating climate change forecasts to quantify the variation in energy simulation due to weather inputs, i.e., Monte Carlo analysis for uncertainty and sensitivity quantification. The method ...

IBPSA-USA, ASHRAE2016

An Analysis of Load Imbalance in Scale-out Data Serving

Babak Falsafi, Edouard Bugnion, Boris Robert Grot, Alexandros Daglis, Stanko Novakovic

Despite the natural parallelism across lookups, performance of distributed key-value stores is often limited due to load imbalance induced by heavy skew in the popularity distribution of the dataset. To avoid violating service level objectives expressed in ...

2016

A Quickest Detection Problem With An Observation Cost

Robert Dalang

In the classical quickest detection problem, one must detect as quickly as possible when a Brownian motion without drift "changes" into a Brownian motion with positive drift. The change occurs at an unknown "disorder" time with exponential distribution. Th ...

Inst Mathematical Statistics2015

An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology

Pierre-André Farine, Rafal Tomasz Dlugosz

The paper presents a new initialization mechanism based on a Convex Combination Method (CCM) for Kohonen self-organizing Neural Networks (NNs) realized in the CMOS technology. A proper selection of initial values of the neuron weights exhibits a strong imp ...

Elsevier Science Inc2015

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Ajustement de loi de probabilité

Two Full Parameter Identification Methods for Synchronous Machine Applying DC-Decay Tests for a Rotor in Arbitrary Position

Squall

A randomised primal-dual algorithm for distributed radio-interferometric imaging

TRANSFORMERS: Robust Spatial Joins on Non-Uniform Data Distributions

Toward timely, predictable and cost-effective data analytics

Parallel algorithms for tensor completion in the CP format

Incorporating Climate Change Predictions in the Analysis of Weather-based Uncertainty

An Analysis of Load Imbalance in Scale-out Data Serving

A Quickest Detection Problem With An Observation Cost

An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology

Graph Chatbot

Chattez avec Graph Search

Two Full Parameter Identification Methods for Synchronous Machine Applying DC-Decay Tests for a Rotor in Arbitrary Position

Squall

A randomised primal-dual algorithm for distributed radio-interferometric imaging

Toward timely, predictable and cost-effective data analytics

TRANSFORMERS: Robust Spatial Joins on Non-Uniform Data Distributions

A Quickest Detection Problem With An Observation Cost

An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology

Parallel algorithms for tensor completion in the CP format

An Analysis of Load Imbalance in Scale-out Data Serving

Incorporating Climate Change Predictions in the Analysis of Weather-based Uncertainty