Suchergebnisse - "Learning algorithm"

The dropout learning algorithm von Baldi, Pierre, Sadowski, Peter

“… Dropout is a recently introduced algorithm for training neural networks by randomly dropping units during training to prevent their co-adaptation. A …”
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Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy von Sengupta, Partho P, Huang, Yen-Min, Bansal, Manish, Ashrafi, Ali, Fisher, Matt, Shameer, Khader, Gall, Walt, Dudley, Joel T

“… Clinical and echocardiographic data of 50 patients with constrictive pericarditis and 44 with restrictive cardiomyopathy were used for developing an associative memory classifier-based machine-learning algorithm …”
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Machine learning algorithm validation with a limited sample size von Vabalas, Andrius, Gowen, Emma, Poliakoff, Ellen, Casson, Alexander J.

“… Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a torrent of high …”
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DGM: A deep learning algorithm for solving partial differential equations von Sirignano, Justin, Spiliopoulos, Konstantinos

“… The deep learning algorithm approximates the general solution …”
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A rapid learning algorithm for vehicle classification von Wen, Xuezhi, Shao, Ling, Xue, Yu, Fang, Wei

“… •A fast learning algorithm is introduced for real-time vehicle classification.•A fast feature selection method for AdaBoost is presented by combining …”
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Partial multi-dividing ontology learning algorithm von Gao, Wei, L.G. Guirao, Juan, Basavanagoud, B., Wu, Jianzhang

“… As an effective data representation, storage, management, calculation and model for analysis, ontology has attracted more and more attention by researchers and …”
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Optimized Multi-Agent Formation Control Based on an Identifier-Actor-Critic Reinforcement Learning Algorithm von Wen, Guoxing, Chen, C. L. Philip, Feng, Jun, Zhou, Ning

“… In order to achieve the optimized control, the reinforcement learning algorithm of the identifier-actor-critic architecture is implemented based on fuzzy logic system (FLS) approximators …”
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Ensemble Transfer Learning Algorithm von Liu, Xiaobo, Liu, Zhentao, Wang, Guangjun, Cai, Zhihua, Zhang, Harry

“… Second, three classic machine learning algorithms, namely, naive Bayes, decision tree, and SVM, are used as the base learners of TrResampling, where the base learner with the best …”
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MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems von Zhao, Dongbin, Zhu, Yuanheng

“… In this paper, the first probably approximately correct (PAC) algorithm for continuous deterministic systems without relying on any system dynamics is …”
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Classification and prediction of protein–protein interaction interface using machine learning algorithm von Das, Subhrangshu, Chakrabarti, Saikat

“… Structural insight of the protein–protein interaction (PPI) interface can provide knowledge about the kinetics, thermodynamics and molecular functions of the …”
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Transformer-BLS: An efficient learning algorithm based on multi-head attention mechanism and incremental learning algorithms von Fu, Rongrong, Liang, Haifeng, Wang, Shiwei, Jia, Chengcheng, Sun, Guangbin, Gao, Tengfei, Chen, Dan, Wang, Yaodong

“… In particular, our proposed transformer-BLS network provides four different incremental learning algorithms that enable the proposed model can realize the increments of its feature nodes, enhancement …”
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Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms von Nikou, Mahla, Mansourfar, Gholamreza, Bagherzadeh, Jamshid

“… Summary Security indices are the main tools for evaluation of the status of financial markets. Moreover, a main part of the economy of any country is …”
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Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video) von de Groof, Albert J., Struyvenberg, Maarten R., Fockens, Kiki N., van der Putten, Joost, van der Sommen, Fons, Boers, Tim G., Zinger, Sveta, Bisschops, Raf, de With, Peter H., Pouw, Roos E., Curvers, Wouter L., Schoon, Erik J., Bergman, Jacques J.G. H.M.

“… We assessed the preliminary diagnostic accuracy of a recently developed computer-aided detection (CAD) system for detection of Barrett’s neoplasia during live …”
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Reinforcement learning algorithm for non-stationary environments von Padakandla, Sindhu, K. J., Prabuchandran, Bhatnagar, Shalabh

“… Reinforcement learning (RL) methods learn optimal decisions in the presence of a stationary environment. However, the stationary assumption on the environment …”
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A dynamic ensemble learning algorithm for neural networks von Alam, Kazi Md. Rokibul, Siddique, Nazmul, Adeli, Hojjat

“… This paper presents a novel dynamic ensemble learning (DEL) algorithm for designing ensemble of neural networks (NNs). DEL algorithm determines the size of …”
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Adversarial environment reinforcement learning algorithm for intrusion detection von Caminero, Guillermo, Lopez-Martin, Manuel, Carro, Belen

“… Intrusion detection is a crucial service in today’s data networks, and the search for new fast and robust algorithms that are capable of detecting and …”
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A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) von Wang, Shuai, Kang, Bo, Ma, Jinlu, Zeng, Xianjun, Xiao, Mingming, Guo, Jia, Cai, Mengjiao, Yang, Jingyi, Li, Yaodong, Meng, Xiangfei, Xu, Bo

“… Objective The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) has caused more than 26 million cases of Corona virus disease (COVID-19) …”
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Improved machine learning algorithm for predicting ground state properties von Lewis, Laura, Huang, Hsin-Yuan, Tran, Viet T., Lehner, Sebastian, Kueng, Richard, Preskill, John

“… Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) …”
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Transfer Learning Algorithm With Knowledge Division Level von Han, Honggui, Liu, Hongxu, Yang, Cuili, Qiao, Junfei

“… One of the major challenges of transfer learning algorithms is the domain drifting problem where the knowledge of source scene is inappropriate for the task of target scene …”
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A dynamic ensemble learning algorithm for neural networks von Alam, Kazi Md. Rokibul, Siddique, Nazmul, Adeli, Hojjat

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