Search Results - "Discrete and continuous learning algorithms"

Discrete learning-based intelligent methodology for heart disease diagnosis by Khashei, Mehdi, Bakhtiarvand, Negar

“…•Proposing a new intelligent learning methodology for medical classification purposes.•Developing a new discrete learning-based multilayer perceptron based on…”
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A novel discrete learning-based intelligent methodology for breast cancer classification purposes by Khashei, Mehdi, Bakhtiarvand, Negar

“…Classification is one of the most significant subfields of data mining that has been successfully applied to various applications. The literature has expended…”
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A novel discrete deep learning-based intelligent methodology for energy consumption classification by Khashei, Mehdi, Chahkoutahi, Fatemeh, Bakhtiarvand, Negar

“…Energy consumption classification is one of the most widely-used approaches in the energy area that is applied in various applications such as household,…”
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A discrete learning-based intelligent classifier for breast cancer classification by Khashei, Mehdi, Bakhtiarvand, Negar, Ahmadi, Parsa

“…Precise diagnosis of benign and malignant breast cancer plays an important role in the effective treatment of breast cancer patients. Several classification…”
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Stock turning points classification using a novel discrete learning-based methodology by Khashei, Mehdi, Yazdani, Fateme, Bakhtiarvand, Negar

“…Achieving accurate turning point (TP) forecasting techniques can provide investors with tools to make profitable trading decisions, by offering the opportunity…”
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A New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction by Khashei, Mehdi, Etemadi, Sepideh, Bakhtiarvand, Negar

“…Credit scoring or predicting bankruptcy is among the most crucial techniques for identifying high-risk and low-risk credit situations. Accordingly, enhancing…”
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A Comparative Study of Discrete Direction vs. Continuous Distance-Based Cost Function in Energy Classification by Khashei, Mehdi, Etemadi, Sepideh, Bakhtiarvand, Negar

“…Over the past decades, different classification approaches with different characteristics have been developed to achieve more efficient and accurate results…”
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A Novel Discrete Deep Learning–Based Cancer Classification Methodology by Soltani, Marzieh, Khashei, Mehdi, Bakhtiarvand, Negar

“…Classification is one of the most well-known data mining branches used in diverse domains and fields. In the literature, many different classification…”
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