Concept

Schulze method

Related publications (23)

Stripping the Swiss discount curve using kernel ridge regression

We analyze and implement the kernel ridge regression (KR) method developed in Filipovic et al. (Stripping the discount curve-a robust machine learning approach. Swiss Finance Institute Research Paper No. 22-24. SSRN. https://ssrn.com/abstract=4058150, 2022 ...

Springer Heidelberg2024

The probability of intransitivity in dice and close elections

Jan Hazla

We study the phenomenon of intransitivity in models of dice and voting. First, we follow a recent thread of research for n-sided dice with pairwise ordering induced by the probability, relative to 1/2, that a throw from one die is higher than the other. We ...

2020

CoWriting Kazakh: Learning a New Script with a Robot

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal

In the Republic of Kazakhstan, the transition from Cyrillic to Latin alphabet raises challenges to training an entire population in writing the new script. This paper presents a CoWriting Kazakh system, an extension of the existing CoWriter system, aiming ...

Association for Computing Machinery2020

Monotonic Prefix Consistency in Distributed Systems

Rachid Guerraoui, Jad Hamza, Dragos-Adrian Seredinschi

We study the issue of data consistency in distributed systems. Specifically, we consider a distributed system that replicates its data at multiple sites, which is prone to partitions, and which is assumed to be available (in the sense that queries are alwa ...

2018

Comparison of computational methods for the identification of topologically associating domains

Elisa Oricchio, Daniele Tavernari, Giovanni Ciriello

BackgroundChromatin folding gives rise to structural elements among which are clusters of densely interacting DNA regions termed topologically associating domains (TADs). TADs have been characterized across multiple species, tissue types, and differentiati ...

BMC2018

Why You Can't Beat Blockchains: Consistency and High Availability in Distributed Systems

Rachid Guerraoui, Jad Hamza, Dragos-Adrian Seredinschi

We study the issue of data consistency in highly-available distributed systems. Specifically, we consider a distributed system that replicates its data at multiple sites, which is prone to partitions, and which is expected to be highly available. In such a ...

arxiv2017

Applications of Approximate Learning and Inference for Probabilistic Models

Young Jun Ko

We develop approximate inference and learning methods for facilitating the use of probabilistic modeling techniques motivated by applications in two different areas. First, we consider the ill-posed inverse problem of recovering an image from an underdeter ...

EPFL2017

Acoustic emission source detection and wave generation on a working plate using piezoelectric actuators

Xinchang Liu

In modern automated assembly lines, part feeders play an important role to separate and sort parts. Agility and flexibility are required to achieve a good yield for different types of parts. The common working principle is to vibrate a working plate driven ...

EPFL2017

Simultaneous initiation and growth of multiple radial hydraulic fractures from a horizontal wellbore

Brice Tanguy Alphonse Lecampion

Multi-stage fracturing is the current preferred method of completion of horizontal wells in unconventional hydrocarbon reservoirs. Its core component consists in simultaneously initiating and propagating an array of hydraulic fractures. We develop a numeri ...

Pergamon-Elsevier Science Ltd2015

Energy Efficient Locomotion with Adaptive Natural Oscillator

Auke Ijspeert, Mahdi Khoramshahi

For robotic systems, energy efficiency is one the most crucial goals. Many studies have been done to accomplish this goal from design and control point of view. In the second view, one of the preferred method is to design the desired trajectory in harmony ...

2014

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