Výsledky vyhledávání - art AND random tree algorithm~

Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments Autor Elbeltagi, Ahmed, Srivastava, Aman, Deng, Jinsong, Li, Zhibin, Raza, Ali, Khadke, Leena, Yu, Zhoulu, El-Rawy, Mustafa

“… (ART), Random SubSpace (RSS), Random Forest (RF), Reduced Error Pruning Tree (REPTree), and Quinlan's M5 algorithm…”
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Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization Autor Danilov, Viacheslav V., Klyshnikov, Kirill Y., Onishenko, Pavel S., Proutski, Alex, Gankin, Yuriy, Melgani, Farid, Ovcharenko, Evgeny A.

“… For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting…”
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Mastering the game of Go with deep neural networks and tree search Autor Silver, David, Huang, Aja, Maddison, Chris J., Guez, Arthur, Sifre, Laurent, van den Driessche, George, Schrittwieser, Julian, Antonoglou, Ioannis, Panneershelvam, Veda, Lanctot, Marc, Dieleman, Sander, Grewe, Dominik, Nham, John, Kalchbrenner, Nal, Sutskever, Ilya, Lillicrap, Timothy, Leach, Madeleine, Kavukcuoglu, Koray, Graepel, Thore, Hassabis, Demis

“… Without any lookahead search, the neural networks play Go at the level of state-of-the-art Monte Carlo tree search programs that simulate thousands of random games of self-play…”
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Fault diagnosis based on extremely randomized trees in wireless sensor networks Autor Saeed, Umer, Jan, Sana Ullah, Lee, Young-Doo, Koo, Insoo

“… Most of the faults that commonly occur in WSN are considered: hardover, drift, spike, erratic, data-loss, stuck, and random fault…”
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Multivariate Modelling of the Trace Element Chemistry of Arsenopyrite from Gold Deposits Using Higher-Dimensional Algebras Autor Thiruvengadam, Sudharsan, Murphy, Matthew Edmund, Tan, Jei Shian, Watling, Roger John, Stewart, James Ian, Miller, Karol

“…In geochemistry, the elevated concentrations of certain elements in rock or mineral samples are used for the assessment of a mineralising system’s important…”
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Hybrid feature selection framework for enhanced credit card fraud detection using machine learning models Autor Siam, Al Mahmud, Bhowmik, Pankaj, Uddin, Md Palash

“…), and random forest importance (RFI), each optimized for the dataset‘s characteristics. Pearson Correlation eliminates redundancy by removing…”
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Censoring weighted separate-and-conquer rule induction from survival data Autor Wróbel, Ł, Sikora, M

“…Rule induction is one of the major methods of machine learning. Rule-based models can be easily read and interpreted by humans, that makes them particularly…”
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Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms Autor Talukdar, Swapan, Ghose, Bonosri, Shahfahad, Salam, Roquia, Mahato, Susanta, Pham, Quoc Bao, Linh, Nguyen Thi Thuy, Costache, Romulus, Avand, Mohammadtaghi

“…The flooding in Bangladesh during monsoon season is very common and frequently happens. Consequently, people have been experiencing tremendous damage to…”
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An empirical comparison of machine learning techniques for dam behaviour modelling Autor Salazar, F., Toledo, M.A., Oñate, E., Morán, R.

“…•A sensitivity analysis to the training set size was performed.•Machine learning tools mostly outperform HST, especially boosted regression trees…”
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Differentially private random decision forests using smooth sensitivity Autor Fletcher, Sam, Islam, Md Zahidul

“…•We propose an algorithm that produces a differentially-private random decision forest…”
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An ensemble classification approach for cervical cancer prediction using behavioral risk factors Autor Ali, Md Shahin, Hossain, Md Maruf, Kona, Moutushi Akter, Nowrin, Kazi Rubaya, Islam, Md Khairul

“… Comparison with other state-of-the-art algorithms using several ML techniques, including support vector machine, decision tree, random forest…”
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MLSFDD: Machine-Learning-Based Smart Fire Detection Device for Precision Agriculture Autor Maity, Tapan, Nath Bhawani, Adi, Samanta, Jagannath, Saha, Prabir, Majumdar, Shubhankar, Srivastava, Gautam

“… The proposed MLSFDD has gathered data from agricultural crop fields through sensors and sensed data are analyzed using state-of-the-art ML algorithms such as random forest (RF…”
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Identifying Fake News written on Albanian language in social media using Naïve Bayes, SVM, Logistic Regression, Decision Tree and Random Forest algorithms Autor Hoti, Arber H., Hoti, Mergim H., Hoti, Hamdi, Salihu, Armend

“… Hence, this study aims to identify which algorithms classify in better form these fake news from different sources…”
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Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers Autor Koc, Kerim, Ekmekcioğlu, Ömer, Gurgun, Asli Pelin

“…: Random Forest, XGBoost, AdaBoost, and Extra Trees, as well as a state-of-the-art optimization method for hyperparameter tuning, Genetic Algorithm (GA…”
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No more privacy Concern: A privacy-chain based homomorphic encryption scheme and statistical method for privacy preservation of user’s private and sensitive data Autor Sathish Kumar, G., Premalatha, K., Uma Maheshwari, G., Rajesh Kanna, P.

“…Internet giants collects a huge volume of data using the modern technologies and apply them to data mining for prediction and decision making in numerous…”
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An optimization-based decision tree approach for predicting slip-trip-fall accidents at work Autor Sarkar, Sobhan, Raj, Rahul, Vinay, Sammangi, Maiti, J., Pratihar, Dilip Kumar

“…•Particle swarm optimization-based random forest algorithm performs the best.•20 interpretable safety decision rules are extracted from the best algorithm. Slip-trip-fall (STF…”
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Improved Clinical Diagnosis Using Predictive Analytics Autor N, Divyashree, K S, Nandini Prasad

“… This research work proposes the implementation of predictive analytics using a multi-stratified algorithm named the "Local Weight Global Mean K-Nearest Neighbor (LWGMK-NN…”
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Annotating mobile phone location data with activity purposes using machine learning algorithms Autor Liu, Feng, Janssens, Davy, Wets, Geert, Cools, Mario

“…► We annotate mobile phone location data using data mining techniques. ► The characteristics of underlying activity-travel behavior are also considered. ► A…”
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Use of random forest algorithm to evaluate model-based EUI benchmarks from CBECS database Autor Kaskhedikar, Apoorva, Reddy, T. Agami, Runger, George

“…Evaluating the extent to which an individual building consumes energy in excess of its peers is the first step in initiating energy efficiency improvements…”
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Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan Autor Dou, Jie, Yunus, Ali P., Tien Bui, Dieu, Merghadi, Abdelaziz, Sahana, Mehebub, Zhu, Zhongfan, Chen, Chi-Wen, Khosravi, Khabat, Yang, Yong, Pham, Binh Thai

“… In this study, we aim to investigate and compare the performance of two state-of-the-art machine learning models, i.e., decision tree (DT) and random forest (RF…”
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