Search Results - "Learning algorithms"

Reinforcement learning algorithms: A brief survey by Shakya, Ashish Kumar, Pillai, Gopinatha, Chakrabarty, Sohom

“…•RL can be used to solve problems involving sequential decision-making.•RL is based on trial-and-error learning through rewards and punishments.•The ultimate…”
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A Review on Multi-Label Learning Algorithms by Zhang, Min-Ling, Zhou, Zhi-Hua

“… This paper aims to provide a timely review on this area with emphasis on state-of-the-art multi-label learning algorithms…”
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On evaluating stream learning algorithms by Gama, João, Sebastião, Raquel, Rodrigues, Pedro Pereira

“… This paper proposes a general framework for assessing predictive stream learning algorithms…”
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Review of Deep Learning Algorithms and Architectures by Shrestha, Ajay, Mahmood, Ausif

“…Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas such as cancer diagnosis, precision…”
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Absent Multiple Kernel Learning Algorithms by Liu, Xinwang, Wang, Lei, Zhu, Xinzhong, Li, Miaomiao, Zhu, En, Liu, Tongliang, Liu, Li, Dou, Yong, Yin, Jianping

“…Multiple kernel learning (MKL) has been intensively studied during the past decade. It optimally combines the multiple channels of each sample to improve…”
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On hyperparameter optimization of machine learning algorithms: Theory and practice by Yang, Li, Shami, Abdallah

“…Machine learning algorithms have been used widely in various applications and areas…”
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Big data and machine learning algorithms for health-care delivery by Ngiam, Kee Yuan, Khor, Ing Wei

“… and classification, and survival predictions. Another advantage of machine learning algorithms is the ability to analyse diverse data types…”
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Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling? by Pham, Binh Thai, Luu, Chinh, Phong, Tran Van, Trinh, Phan Trong, Shirzadi, Ataollah, Renoud, Somayeh, Asadi, Shahrokh, Le, Hiep Van, von Meding, Jason, Clague, John J.

“…•The DEBP model outperformed the ANNRBF, LR, LMTree, FTree, and ADTree machine learning algorithms…”
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Water quality classification using machine learning algorithms by Nasir, Nida, Kansal, Afreen, Alshaltone, Omar, Barneih, Feras, Sameer, Mustafa, Shanableh, Abdallah, Al-Shamma'a, Ahmed

“…Monitoring water quality is essential for protecting human health and the environment and controlling water quality. Artificial Intelligence (AI) offers…”
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DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domains by Ćiprijanović, A, Kafkes, D, Downey, K, Jenkins, S, Perdue, G N, Madireddy, S, Johnston, T, Snyder, G F, Nord, B

“…In astronomy, neural networks are often trained on simulation data with the prospect of being used on telescope observations. Unfortunately, training a model…”
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Using deep‐learning algorithms to classify fetal brain ultrasound images as normal or abnormal by Xie, H. N., Wang, N., He, M., Zhang, L. H., Cai, H. M., Xian, J. B., Lin, M. F., Zheng, J., Yang, Y. Z.

“…ABSTRACT Objectives To evaluate the feasibility of using deep‐learning algorithms to classify as normal or abnormal sonographic images of the fetal brain obtained in standard axial planes…”
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Early diagnosis of Parkinson’s disease using machine learning algorithms by Karapinar Senturk, Zehra

“…Parkinson’s disease is caused by the disruption of the brain cells that produce substance to allow brain cells to communicate with each other, called dopamine…”
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Medical image analysis using deep learning algorithms by Li, Mengfang, Jiang, Yuanyuan, Zhang, Yanzhou, Zhu, Haisheng

“…) approaches designed to address the difficulties faced in medical healthcare, particularly focusing on the use of deep learning algorithms in medical image analysis…”
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Comparing different supervised machine learning algorithms for disease prediction by Uddin, Shahadat, Khan, Arif, Hossain, Md Ekramul, Moni, Mohammad Ali

“…Background Supervised machine learning algorithms have been a dominant method in the data mining field…”
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Crop Prediction Model Using Machine Learning Algorithms by Elbasi, Ersin, Zaki, Chamseddine, Topcu, Ahmet E., Abdelbaki, Wiem, Zreikat, Aymen I., Cina, Elda, Shdefat, Ahmed, Saker, Louai

“… This research investigates the potential benefits of integrating machine learning algorithms in modern agriculture…”
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Clinical applications of machine learning algorithms: beyond the black box by Watson, David S, Krutzinna, Jenny, Bruce, Ian N, Griffiths, Christopher EM, McInnes, Iain B, Barnes, Michael R, Floridi, Luciano

“…To maximise the clinical benefits of machine learning algorithms, we need to rethink our approach to explanation, argue David Watson and colleagues…”
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Robust machine learning algorithms for predicting coastal water quality index by Uddin, Md Galal, Nash, Stephen, Mahammad Diganta, Mir Talas, Rahman, Azizur, Olbert, Agnieszka I.

“…Coastal water quality assessment is an essential task to keep “good water quality” status for living organisms in coastal ecosystems. The Water quality index…”
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Heart disease prediction using machine learning algorithms by Jindal, Harshit, Agrawal, Sarthak, Khera, Rishabh, Jain, Rachna, Nagrath, Preeti

“…Day by day the cases of heart diseases are increasing at a rapid rate and it's very Important and concerning to predict any such diseases beforehand. This…”
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Improving prediction of water quality indices using novel hybrid machine-learning algorithms by Bui, Duie Tien, Khosravi, Khabat, Tiefenbacher, John, Nguyen, Hoang, Kazakis, Nerantzis

“…River water quality assessment is one of the most important tasks to enhance water resources management plans. A water quality index (WQI) considers several…”
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Nowcasting GDP using machine-learning algorithms: A real-time assessment by Richardson, Adam, van Florenstein Mulder, Thomas, Vehbi, Tuğrul

“…Can machine-learning algorithms help central banks understand the current state of the economy…”
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