Výsledky vyhledávání - "Tree algorithms"

The supporting hyperplane optimization toolkit for convex MINLP Autor Lundell, Andreas, Kronqvist, Jan, Westerlund, Tapio

“…In this paper, an open-source solver for mixed-integer nonlinear programming (MINLP) problems is presented. The Supporting Hyperplane Optimization Toolkit…”
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Interpretable machine learning for psychological research: Opportunities and pitfalls Autor Henninger, Mirka, Debelak, Rudolf, Rothacher, Yannick, Strobl, Carolin

“…In recent years, machine learning methods have become increasingly popular prediction methods in psychology. At the same time, psychological researchers are…”
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Machine learning for propensity score estimation: A systematic review and reporting guidelines Autor Leite, Walter, Zhang, Huibin, Collier, Zachary, Chawla, Kamal, Kong, Lingchen, Lee, YongSeok, Quan, Jia, Soyoye, Olushola

“…Machine learning (ML) has become a common approach for estimating propensity scores (PSs) for quasi-experimental research using matching, weighting, or…”
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Binary black hole algorithm for feature selection and classification on biological data Autor Pashaei, Elnaz, Aydin, Nizamettin

“…Average solution quality of one filter and four wrapper approaches on 8 medical datasets [Display omitted] •A binary version of the Black Hole Algorithm (BBHA)…”
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From anomalies to forecasts: Toward a descriptive model of decisions under risk, under ambiguity, and from experience Autor Erev, Ido, Ert, Eyal, Plonsky, Ori, Cohen, Doron, Cohen, Oded

“…Experimental studies of choice behavior document distinct, and sometimes contradictory, deviations from maximization. For example, people tend to overweight…”
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Gradient boosting decision tree algorithms for accelerating nanofiltration membrane design and discovery Autor Gong, Weijia, Xu, Hangbin, Lu, Jinyan, Kim, Jungbin, Zhao, Yan, Li, Ni, Zhang, Yixuan, Yang, Jiaxuan, Xu, Daliang, Liang, Heng

“…Interfacial polymerization is the most widely used strategy for nanofiltration membrane fabrication. Despite extensive research on this technology, further…”
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Rough set-inspired isolation forest Autor Rachwał, Albert, Karczmarek, Paweł, Rachwał, Alicja

“…This paper presents an innovative approach to anomaly detection, combining the Isolation Forest method with Zdzisław Pawlak's rough set theory. The core…”
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A comparison of random forest-based missing imputation methods for covariates in propensity score analysis Autor Lee, Yongseok, Leite, Walter L

“…Propensity score analysis (PSA) is a prominent method to alleviate selection bias in observational studies, but missing data in covariates is prevalent and…”
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Development of regression models for estimating main particulars of RoPax vessels in the conceptual design stage Autor Mauro, Francesco, Salem, Ahmed

“…•Analysis of a modern database of RoPax vessels.•Implementation of simple and advanced regression models.•Comparison between literature and new…”
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Tree-Algorithms With Multi-Packet Reception and Successive Interference Cancellation Autor Stefanovic, Cedomir, Deshpande, Yash, Gursu, H. Murat, Kellerer, Wolfgang

“…In this paper, we study binary tree-algorithms that exploit a combination of multi-packet reception (MPR) and successive interference cancellation (SIC), which…”
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Implementation of the Decission Tree Algorithm to Determine Credit Worthiness Autor Abdussomad, Abdussomad, Kurniawan, Ilham, Wibowo, Agung

“…Credit is a loan from a bank that needs to be repaid with interest. In practice, problematic credit or bad credit often occurs due to less thorough credit…”
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Investigation of some machine learning algorithms in fish age classification Autor Benzer, Semra, Garabaghi, Farid Hassanbaki, Benzer, Recep, Mehr, Homay Danaei

“…Marine and freshwater scientists use fish scales, vertebrae, otoliths and length-weights values to estimate fish age because reliable fish age estimation plays…”
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Finding structure in data using multivariate tree boosting Autor Miller, Patrick J, Lubke, Gitta H, McArtor, Daniel B, Bergeman, C S

“…Technology and collaboration enable dramatic increases in the size of psychological and psychiatric data collections, but finding structure in these large data…”
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Computer-Aided Medical Analysis of Smart University Student's Psychological Fitness Data using Fuzzy Clustering and Decision Tree Algorithms Autor Yan, Hengpu, Ma, Yongmei, Ru, Zhaobiao

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Projection-tree reduced-order modeling for fast N-body computations Autor Rodriguez, Steven N., Iliopoulos, Athanasios P., Carlberg, Kevin T., Brunton, Steven L., Steuben, John C., Michopoulos, John G.

“…•A new class of reduced order models is presented: projection-tree reduced-order modeling (PTROM).•The method combines tree-algorithms, dimensionality…”
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Deductive data mining Autor Hong, Maxwell, Jacobucci, Ross, Lubke, Gitta

“…Data mining methods offer a powerful tool for psychologists to capture complex relations such as interaction and nonlinear effects without prior specification…”
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Using machine learning methods to analyze data related to CSNS RCS beam transmission efficiency Autor Peng, Na, Zhang, Yuliang, Guo, Zhen, Cheng, Sinong, He, Yongcheng, Mei, Hao, Wang, Lin, Xue, Kangjia, Li, Mingtao, Wu, Xuan, Zhu, Peng

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Using Classification and Regression Trees (CART) and random forests to analyze attrition: Results from two simulations Autor Hayes, Timothy, Usami, Satoshi, Jacobucci, Ross, McArdle, John J

“…In this article, we describe a recent development in the analysis of attrition: using classification and regression trees (CART) and random forest methods to…”
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Automated traffic sign change detection using low-cost LiDAR scans and unsupervised machine learning Autor Khataan, Ahmed, Gargoum, Suliman

“…Current practices in traffic sign monitoring heavily rely on manual inspections, a method that is both time-consuming and prone to human error. This leads to…”
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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

“…•Both categorical data and unstructured text data have been analysed.•Accidents are predicted using optimized decision tree classifiers.•Particle swarm…”
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