Concept

Arbre B

Publications associées (104)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Bike Sharing Systems: Does demand forecasting yield a better service?

Michel Bierlaire, Nikola Obrenovic, Selin Ataç

Although the idea of vehicle sharing systems (VSSs) emerged back in 1940s, sustaining such a system became simpler with the improvements in technology in the past decade. In addition to that, people have become more concerned about environmental effects an ...

2020

Very massive tracers and higher derivative biases

Most of the upcoming cosmological information will come from analyzing the clustering of the Large Scale Structures (LSS) of the universe through LSS or CMB observations. It is therefore essential to be able to understand their behavior with exquisite prec ...

2020

Analysis of the value of demand forecasting within vehicle sharing systems

Jasso Espadaler Clapés

Vehicle sharing systems (VSSs) are becoming increasingly popular, primarily due to their financial and environmental advantages. However, VSSs face many operational challenges, including inventory management of vehicles and parking spots, vehicle load bala ...

2019

We introduce an online outlier detection algorithm to detect outliers in a sequentially observed data stream. For this purpose, we use a two-stage filtering and hedging approach. In the first stage, we construct a multimodal probability density function to ...

2019

Improving Spatial Data Processing by Clipping Minimum Bounding Boxes

Anastasia Ailamaki, Darius Sidlauskas, Eleni Tzirita Zacharatou

The majority of spatial processing techniques rely heavily on the idea of approximating each group of spatial objects by their minimum bounding box (MBB). As each MBB is compact to store (requiring only two multi-dimensional points) and intersection tests ...

IEEE2018

Marteloscopes are multifunctional training tools that can create a better understanding of forest management and have been developed as didactic tools for virtual tree selections. With this paper the authors provide explanatory information on the more than ...

Integrate+ Technical Paper2018

Optimal Software Patching Plan for PMUs

Jean-Yves Le Boudec, Ola Nils Anders Svensson, Teklemariam Tsegay Tesfay

Phasor measurement units (PMUs) deployed to monitor the state of an electrical grid need to be patched from time to time to prevent attacks that exploit vulnerabilities in the software. Applying some of these patches requires a PMU reboot, which takes the ...

2017

Termination of Open Higher-Order Programs

Viktor Kuncak, Nicolas Charles Yves Voirol, Ravichandhran Kandhadai Madhavan

We study the problem of proving termination of open, higher-order programs with recursive functions and datatypes. We identify a new point in the design space of solutions, with an appealing trade-off between simplicity of specification, modularity, and am ...

2017

, ,

This document proposes a new serialization format for typed syntax trees of Scala programs. It aims to be ● compact: All numbers and references are length encoded, trees are inlined by default but may be shared. ● lazy: Trees can be explored from the top, ...

2016

Importance Sampling Tree for Large-scale Empirical Expectation

François Fleuret, Olivier Canévet, Cijo Jose

We propose a tree-based procedure inspired by the Monte-Carlo Tree Search that dynamically modulates an importance-based sampling to prioritize computation, while getting unbiased estimates of weighted sums. We apply this generic method to learning on very ...

2016