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A variable neighbourhood search algorithm to generate first species counterpoint musical scores

HERREMANS, Dorien; SÖRENSEN, Kenneth - Faculteit Toegepaste Economische Wetenschappen, … - 2011

In this paper a variable neighbourhood search (VNS) algorithm is developed that can generate musical fragments of arbitrary length consisting of a cantus firmus and a first species counterpoint melody. The objective function of the algorithm is based on a quantification of existing counterpoint...

Persistent link: https://www.econbiz.de/10009353451

Composing Fifth Species Counterpoint Music With Variable Neighborhood Search

HERREMANS, Dorien; SÖRENSEN, Kenneth - Faculteit Toegepaste Economische Wetenschappen, … - 2012

immediately. This work is the expansion of a previous paper by the authors in which first species counterpoint music is composed …

Persistent link: https://www.econbiz.de/10010797662

Generating structured music using quality metrics based on Markov models

HERREMANS, Dorien; WEISSER, Stéphanie; SÖrensen, Kenneth - Faculteit Toegepaste Economische Wetenschappen, … - 2014

In this research, a first order Markov model is built from a corpus of bagana music, a traditional lyre from Ethiopia … are explained. These are then implemented in a variable neighbourhood search algorithm that generates bagana music. The …. A method is proposed that allows the enforcement of structure and repetition within music, thus handling long term …

Persistent link: https://www.econbiz.de/10010929771

Looking into the minds of Bach, Haydn and Beethoven: Classification and generation of composer-specific music

HERREMANS, Dorien; MARTENS, David; SÖRENSEN, Kenneth - Faculteit Toegepaste Economische Wetenschappen, … - 2014

In this paper a number of musical features are extracted from a large music database, which are consequently used to … endless stream of counterpoint music with composer-specific characteristics that sounds pleasing to the ear. This system is … implemented as an Android app called FuX that can be installed on any Android phone or tablet. …

Persistent link: https://www.econbiz.de/10010839892

Modeling Portfolio Loss by Interval Distributions

Yang, Bill Huajian; Yang, Jenny; Yang, Haoji - 2020

Models for a continuous risk outcome has a wide application in portfolio risk management and capital allocation. We introduce a family of interval distributions based on variable transformations. Densities for these distributions are provided. Models with a random effect, targeting a continuous...

Persistent link: https://www.econbiz.de/10015215047

Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets

Ledenyov, Dimitri O.; Ledenyov, Viktor O. - 2013

This research represents some thoughts on the accurate characterization of the stock market indexes trends in the conditions of the nonlinear capital flows at the stock exchanges in the global capital markets. We make our original research proposal that the nonlinear capital flows in the process...

Persistent link: https://www.econbiz.de/10015238799

Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets

Ledenyov, Dimitri O.; Ledenyov, Viktor O. - 2013

Persistent link: https://www.econbiz.de/10015238821

Resolutions to flip-over credit risk and beyond

Yang, Bill Huajian - 2019

Abstract Given a risk outcome y over a rating system {R_i }_(i=1)^k for a portfolio, we show in this paper that the maximum likelihood estimates with monotonic constraints, when y is binary (the Bernoulli likelihood) or takes values in the interval 0≤y≤1 (the quasi-Bernoulli likelihood), are...

Persistent link: https://www.econbiz.de/10015263811

Prediction for the 2020 United States Presidential Election using Machine Learning Algorithm: Lasso Regression

Sinha, Pankaj; Verma, Aniket; Shah, Purav; Singh, Jahnavi; … - 2020

This paper aims at determining the various economic and non-economic factors that can influence the voting behaviour in the forthcoming United States Presidential Election using Lasso regression, a Machine learning algorithm. Even though contemporary discussions on the subject of the United...

Persistent link: https://www.econbiz.de/10015223839

Parabolic Target Space and Primal-Dual Interior-Point Methods.

Nesterov, Y. - Center for Operations Research and Econometrics (CORE), … - 1998

In this paper we develop new primal-dual interior-point methods for linear programming, which are based on the concept of parabolic target space. We show that such schemes work in the infinity-neighborhood of the primal-dual central path. Nevertheless these methods possess the best known...

Persistent link: https://www.econbiz.de/10005634080