Search Results - subject:"Support-vector machines"

Machine learning methods for financial forecasting and trading profitability : evidence during the Russia-Ukraine war

Peng, Yaohao; Souza, João Gabriel de Moraes - In: REGE revista de gestão 31 (2024) 2, pp. 152-165

Persistent link: https://www.econbiz.de/10015189762

Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines

Burgard, Jan Pablo; Pinheiro, Maria Eduarda; Schmidt, Martin - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 391-428

Persistent link: https://www.econbiz.de/10015188200

Adapting support vector optimisation algorithms to textual gender classification

Gomez, Javier; Alfaro, Cesar; Ortega, Felipe; Moguerza, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 463-488

Persistent link: https://www.econbiz.de/10015188211

Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines

Burgard, Jan Pablo; Pinheiro, Maria Eduarda; Schmidt, Martin - In: TOP 32 (2024) 3, pp. 391-428

Among the most famous algorithms for solving classification problems are support vector machines (SVMs), which find a …

Persistent link: https://www.econbiz.de/10015375768

Margin optimal classification trees

D'Onofrio, Federico; Grani, Giorgio; Monaci, Marta; … - In: Computers & operations research : an international journal 161 (2024), pp. 1-19

Persistent link: https://www.econbiz.de/10014559221

Nowcasting GDP: what are the gains from machine learning algorithms?

Arro-Cannarsa, Milen; Scheufele, Rolf - 2024

Persistent link: https://www.econbiz.de/10015044842

Características del hogar y pobreza : una aplicación de las máquinas de soporte vectorial

Jesús Rahmer, Bruno de; Garzón Saénz, Hernando; … - In: Revista de métodos cuantitativos para la economía y … 35 (2023), pp. 100-117

The use of quantitative techniques for the classification of population segments is a critical phase to evaluate their conditions. This information will serve as input for planning strategies to alleviate poverty. In this article, we present a model of vector support machines. Consequently, a...

Persistent link: https://www.econbiz.de/10015338458

Household characteristics and poverty: an application of support vector machines

de Jesús Rahmer, Bruno; Garzón Saénz, Hernando; … - In: Revista de Métodos Cuantitativos para la Economía y … 35 (2023), pp. 100-117

Persistent link: https://www.econbiz.de/10015372221

An unsupervised learning-based generalization of Data Envelopment Analysis

Moragues, Raul; Aparicio, Juan; Esteve, Miriam - In: Operations research perspectives 11 (2023), pp. 1-14

new method generalizes Data Envelopment Analysis (DEA) through the adaptation of One-Class Support Vector Machines with …

Persistent link: https://www.econbiz.de/10014448520

Quarterly multidimensional poverty estimates in Mexico using machine learning algorithms

Rincón, Ratzanyel - In: Estudios económicos 38 (2023) 1, pp. 3-68

Persistent link: https://www.econbiz.de/10014280115