Search Results - subject:"Rule extraction"

Whole Lotta Training - Studying School-to-Training Transitions by Training Artificial Neural Networks

Kubitza, Dennis Oliver; Weßling, Katarina - 2025

Transitions from school to further education, training, or work are among the most extensively researched topics in the social sciences. Success in such transitions is influenced by predictors operating at multiple levels, such as the individual, the institutional, or the regional level. These...

Persistent link: https://www.econbiz.de/10015197758

Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective

Hayashi, Yoichi - In: Operations Research Perspectives 3 (2016), pp. 32-42

rule extraction techniques involving support vector machines and Minerva from four real-life, two-class mixed credit …

Persistent link: https://www.econbiz.de/10011825930

Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective

Hayashi, Yoichi - In: Operations research perspectives 3 (2016), pp. 32-42

rule extraction techniques involving support vector machines and Minerva from four real-life, two-class mixed credit …

Persistent link: https://www.econbiz.de/10011822744

Active learning-based pedagogical rule extraction

JUNQUÉ DE FORTUNY, Enric; MARTENS, David - Faculteit Toegepaste Economische Wetenschappen, … - 2014

power, their lack of transparency renders them useless in any domain where comprehensibility is of importance. Rule-extraction …. The present article considers a new rule extraction technique, based on active learning. The technique generates …

Persistent link: https://www.econbiz.de/10010888254

DISCOVERING KNOWLEDGE WITH THE ROUGH SET APPROACH

Mazurek, Jiøí - In: Polish Journal of Management Studies 7 (2013) 1, pp. 245-254

concepts, knowledge discovery is demonstrated on an example of baby car seats evaluation. For a decision rule extraction, the …

Persistent link: https://www.econbiz.de/10010674692

Extracting Formations from Long Financial Time Series Using Data Mining

Karagianni, Stella; Sfetsos, Thanasis; Siriopoulos, Costas - In: Brussels Economic Review 53 (2010) 2, pp. 273-293

segments, and (b) a rule extraction algorithm. The developed methodology is tested on two major financial series, the daily …

Persistent link: https://www.econbiz.de/10008873426

An Algorithm for the Simulation of Bounded Rational Agents

Schuster, Stephan - Volkswirtschaftliche Fakultät, … - 2009

Non-classical models of economic behaviour, usually summarised under the notion of 'Bounded Rationality' criticise the assumptions of the standard economic model - hyperrationality, perfect and costless information, and unlimited mental processing capabilities. However, alternative approaches...

Persistent link: https://www.econbiz.de/10005034999