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A dynamic financial distress forecast model with multiple forecast results under unbalanced data environment
F Shen, Y Liu, R Wang, W Zhou - Knowledge-Based Systems, 2020 - Elsevier
Corporate financial distress forecasts are important for companies, investors and regulatory
authorities. However, as most financial distress forecast (FDF) models in previous studies …
authorities. However, as most financial distress forecast (FDF) models in previous studies …
Solving nonstationary classification problems with coupled support vector machines
Many learning problems may vary slowly over time: in particular, some critical real-world
applications. When facing this problem, it is desirable that the learning method could find the …
applications. When facing this problem, it is desirable that the learning method could find the …
Extensión de métodos modernos de Aprendizaje Automatizado y aplicaciones
El campo del Aprendizaje Automatizado (Machine Learning) es parte central de la nueva
revolución tecnológica basada en el uso inteligente de la información. Por tradición, los …
revolución tecnológica basada en el uso inteligente de la información. Por tradición, los …
[CITAZIONE][C] 适于渐变概念漂移数据的自适应分类算法
张景祥， 王士同， 邓赵红 - 模式识别与人工智能, 2013