Similar Search Results

A support vector machine model for classification of efficiency : an application to M&A

Petridis, Konstantinos; Tampakoudis, Ioannis; Drogalas, … - In: Research in international business and finance 61 (2022), pp. 1-19

Persistent link: https://www.econbiz.de/10014240074

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

An investigation of the effect of variable reduction on classification accuracy rates of consumer loans

Zurada, Jozef - In: Review of business information systems 17 (2013) 4, pp. 135-139

Persistent link: https://www.econbiz.de/10010231895

Binary choice models with discrete regressors : identification and misspecification

Komarova, Tatiana - In: Journal of econometrics 177 (2013) 1, pp. 14-33

Persistent link: https://www.econbiz.de/10010189882

Customer segmentation in private banking sector using machine learning techniques

Smeureanu, Ion; Ruxanda, Gheorghe; Badea, Laura Maria - In: Journal of business economics and management 14 (2013) 5, pp. 923-939

Persistent link: https://www.econbiz.de/10010199073

A nested heuristic for parameter tuning in Support Vector Machines

Carrioza, Emilio; Martín-Barragán, Belén; Romero … - In: Computers & operations research : and their … 43 (2014), pp. 328-334

Persistent link: https://www.econbiz.de/10010242738

Support vector machines in relational databases

Rüping, Stefan - 2002

Today, most of the data in business applications is stored in relational databases. Relational database systems are so popular, because they offer solutions to many problems around data storage, such as efficiency, effectiveness, usability, security and multi-user support. To benefit from these...

Persistent link: https://www.econbiz.de/10009770516

Efficient kernel calculation for multirelational data

Rüping, Stefan - 2002

Today, most of the data in business applications is stored in relational database systems or in data warehouses built on top of relational database systems. Often, for more data is available than can be processed by standard learning algorithms in reasonable time. This paper presents an...

Persistent link: https://www.econbiz.de/10009770517