A Theory-Based Approach to Encoding Categorical Variables in Machine Learning Problems

Συγγραφείς: Pavlov, Andrii

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :01-12 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Perceptual Advantages of People Living in Semeru Volcanic Areas, Indonesia: An MRCV (Multiple Response Categorical Variable) Analysis

Συγγραφείς: Yanti Ariyanti, Sarah Nila, Winati Nurhayu, Dimitri Dubois, Kanthi Arum Widayati, Tri Atmowidi, Clément Mettling, Michel Raymond, Marc Willinger, Bambang Suryobroto

Συνεισφορές: Raymond, Michel

Πηγή: HAYATI Journal of Biosciences. 33:739-749

Θεματικοί όροι: volcanic hazard, MRCV (Multiple Response Categorical Variable), gender dynamic, [SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnology, community resilience, benefits, human-environment interactions, [SHS.ANTHRO-BIO] Humanities and Social Sciences/Biological anthropology

Περιγραφή αρχείου: application/pdf

Clustering of Risk Factors for Coronary Heart Disease Using The k-prototypes Algorithm

Συγγραφείς: Setianingsih, Eni Sawitri, Pratiwi, Hasih, Susanti, Yuliana, Nirwana, Muhammad Bayu

Πηγή: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2023 3rd International Conference on. :1-6 Jul, 2023

Relation: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

Reducing the dimensionality and granularity in hierarchical categorical variables

Συγγραφείς: Wilsens, Paul^{Aff1, Aff3, IDs11634024006145_cor1}, Antonio, Katrien^{Aff1, Aff2, Aff3, Aff4}, Claeskens, Gerda^{Aff1, Aff4, Aff5}

Πηγή: Advances in Data Analysis and Classification: Theory, Methods, and Applications in Data Science. 19(4):1087-1118

From data to process insights: Hybrid modeling strategies for chemical vapor deposition processes

Συγγραφείς: Koronaki, Eleni D. ^{a, ⁎}, Giovanis, Dimitrios ^b, Suntaxi, Geremy Loachamin ^{c, d}, Kathrein, Martin ^e, Czettl, Christoph ^f, Boudouvis, Andreas G. ^g, Bordas, Stephane P.A. ^c

Πηγή: In International Journal of Refractory Metals and Hard Materials August 2026 138

SynMicrodata: An R package for generating synthetic microdata via a nonparametric Bayesian approach

Συγγραφείς: Juhee Lee, Hang J. Kim, Jared S. Murray, Young Min Kim

Πηγή: SoftwareX, Vol 34, Iss , Pp 102541- (2026)

Θεματικοί όροι: Continuous variable, Categorical variable, Data privacy, Dirichlet process priors, Imputation, Missing data, Computer software, QA76.75-76.765

Περιγραφή αρχείου: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S235271102600035X; https://doaj.org/toc/2352-7110

Σύνδεσμος πρόσβασης: https://doaj.org/article/7c879108a6824117a7782ad0baf07719

Impact of Categorical Variable Encodings on Bayesian Optimization Performance

Συγγραφείς: Krummenauer, Jan, Kammoun, Nesrine, Stein, Benedikt, Goetze, Juergen

Πηγή: 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI) ICTAI Tools with Artificial Intelligence (ICTAI), 2022 IEEE 34th International Conference on. :728-733 Oct, 2022

Relation: 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)

Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model: Least-squares estimators of the linear-by-linear association parameter from an ordinal log-linear model

Συγγραφείς: Eric J. Beh, Sidra Zafar, Irene L. Hudson

Πηγή: Australian & New Zealand Journal of Statistics. 67:137-156

Θεματικοί όροι: Generalized linear models (logistic models), Box-Cox transformation, ordered categorical variable, association model, dual power transformation, Asymptotic properties of parametric estimators

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/8075895
https://doi.org/10.1111/anzs.70000

Machine learning for house pricing: evaluating categorical encoders and price correction indexes on real transaction data

Συγγραφείς: Pita, Romário Parreira^Aff1, Carvalho, Aldo Ribeiro de^{Aff1, IDs0052102511575x_cor1}, Castro, Júlia Assumpção de^Aff1, Paixão, Rafael Christian Fonseca de^Aff2, Cury, Alexandre Abrahão^Aff3, Mendes, Julia Castro^{Aff1, Aff3}

Πηγή: Neural Computing and Applications. 37(30):25229-25256

Characterization, a new tool for summarizing databases

Συγγραφείς: Mokkadem, Abdelkader^{Aff1, IDs41060025007467_cor1}, Pelletier, Mariane^Aff1, Raimbault, Louis^Aff1

Πηγή: International Journal of Data Science and Analytics. 20(5):4677-4704

Multi-material discrete variable topology optimization by order-independent random discrete steepest descent algorithm considering poor or conflicting material selections

Συγγραφείς: Deng, Zeyu, Cheng, Gengdong, Liang, Yuan ^⁎

Πηγή: In Computer Methods in Applied Mechanics and Engineering 1 February 2026 449 Part A

Bayesian Optimization for Categorical and Mixed Variables Using a Multinomial Logit Surrogate

Συγγραφείς: Saeed, Muhammad Amir, Candelieri, Antonio

Συνεισφορές: Saeed, M, Candelieri, A

Θεματικοί όροι: Bayesian optimization, categorical variable, multinomial logit model, black-box optimization, discrete optimization

Περιγραφή αρχείου: STAMPA

Relation: ispartofbook:StatTalk 2026: Book of Poster Abstracts; Statalk 2026 - 21 – 22 May 2026; firstpage:1; lastpage:1; numberofpages:1; https://hdl.handle.net/10281/608601

Διαθεσιμότητα: https://hdl.handle.net/10281/608601
https://sites.google.com/view/statalk-2026/programme?authuser=0

A New Centralized Statistical Monitoring Method for Detecting Atypical Distribution of Qualitative Variables in Multicenter Randomized Controlled Trials

Συγγραφείς: Serge Niangoran, Antoine Barbieri, Anani Badje, Valérie Journot, Gérard Kouame, Olivier Marcy, Xavier Anglaret, Amadou Alioum

Συνεισφορές: Admin, Oskar

Πηγή: Statistics in Biopharmaceutical Research. 17:479-487

Θεματικοί όροι: 03 medical and health sciences, 0302 clinical medicine, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Multicenter clinical trial, Categorical variable, Bayesian approach, Beta-binomial modeling, Centralized statistical monitoring, 0101 mathematics, 01 natural sciences

Περιγραφή αρχείου: application/pdf

ALMBO: An Effective Multi-fidelity Bayesian Optimization Method for Mixed-Variable Hyperparameter Optimization

Συγγραφείς: Cai, Jiabao^Aff8, Zhu, Haowen^Aff8, Huang, Hanyan^Aff8

Συνεισφορές: Li, Gang, Series Editor^Aff1, Filipe, Joaquim, Series Editor^Aff2, Xu, Zhiwei, Series Editor^Aff3, Huang, De-Shuang, editor^Aff4, Zhang, Chuanlei, editor^Aff5, Zhang, Qinhu, editor^Aff6, Pan, Yijie, editor^Aff7

Πηγή: Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part V. 2568:191-203

Poisson Regression with Categorical Explanatory Variables via Lasso Using the Median as a Baseline

Συγγραφείς: Yamamura, Mariko^Aff6, Ohishi, Mineaki^Aff7, Yanagihara, Hirokazu^Aff6

Συνεισφορές: Howlett, Robert J., Series Editor^{Aff1, Aff4}, Jain, Lakhmi C., Series Editor^Aff2, Czarnowski, Ireneusz, editor^Aff3, C. Jain, Lakhmi, editor^Aff5

Πηγή: Intelligent Decision Technologies : Proceedings of the 16th KES-IDT 2024 Conference. 411:309-319

Sparse Block Regression (SBR) for Big Data with Categorical Variables

Συγγραφείς: Liu, Xiang, Huang, Huyunting, Tang, Ziyang, Zhang, Tonglin, Yang, Baijian

Πηγή: 2019 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2019 IEEE International Conference on. :221-226 Dec, 2019

Relation: 2019 IEEE International Conference on Big Data (Big Data)

Bayesian Optimization for Categorical and Mixed Variables Using a Multinomial Logit Surrogate

Συγγραφείς: Saeed, MA, Candelieri, A

Συνεισφορές: Saeed, M, Candelieri, A

Θεματικοί όροι: Bayesian optimization, black-box optimization, categorical variable, discrete optimization, multinomial logit model, Settore STAT-01/A - Statistica

Περιγραφή αρχείου: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001774047000001; volume:19; issue:5; firstpage:1; lastpage:35; numberofpages:35; journal:ALGORITHMS; https://hdl.handle.net/10281/604088

Διαθεσιμότητα: https://hdl.handle.net/10281/604088
https://doi.org/10.3390/a19050361

Investigating Syntactic and Morphological Differences in the Written Productions of Turkish Learners Based on the Learning Context

Συγγραφείς: Lebriz Sönmez, Meral Şeker

Συνεισφορές: Alanya Alaaddin Keykubat University Institutional Repository

Πηγή: Volume: 32, Issue: 2272-281
Kastamonu Eğitim Dergisi
Kastamonu Education Journal

Θεματικοί όροι: Contextual variables, Turkish, Categorical variable, Written production, Social Sciences, Language Learning Strategies, Language and Linguistics, Education, Turkish language learning, Syntactic errors, Morphological errors, Türkçe Eğitimi, Context (archaeology), Vocabulary Acquisition in Second Language Learning, Machine learning, Developmental and Educational Psychology, Second Language Acquisition, Psychology, 10. No inequality, Turkish Education, Semitic languages, Trends in 21st Century Education Research, Arabic, Geography, 9. Industry and infrastructure, Natural language processing, 4. Education, Language Teaching, Linguistics, Language acquisition, Computer science, Mathematics education, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Philosophy, Incidental Learning, Archaeology, Second Language Learning, Language Teaching and Second Language Acquisition, FOS: Languages and literature, Arts and Humanities

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/20.500.12868/4171
https://doi.org/10.24106/kefdergi.1473587
https://search.trdizin.gov.tr/tr/yayin/detay/1298661
https://dergipark.org.tr/tr/pub/kefdergi/issue/84248/1473587

Moral inferences from androgynous faces are beyond categorical uncertainty: Evidence of a positive bias towards androgynous targets

Συγγραφείς: Alessandro Ansani, Antonio Olivera‐La Rosa

Πηγή: European Journal of Social Psychology. 54:797-812

Θεματικοί όροι: Sociology and Political Science, Developmental psychology, Cognitive Neuroscience, Categorical variable, androgynia, Social Sciences, creepiness, Experimental and Cognitive Psychology, Moral Judgment, Social psychology, androgyny, 5. Gender equality, Cognitive psychology, Impact of Social Norms on Behavior and Compliance, FOS: Mathematics, Psychology, 10. No inequality, Evolutionary Psychology of Human Behavior and Attraction, Statistics, Life Sciences, morality, socialperception, trustworthiness, FOS: Psychology, Neuroscience of Moral Judgment and Disgust, Facial Perception, moraali, luotettavuus, Mathematics, sosiaalinen havaitseminen, Neuroscience

Περιγραφή αρχείου: application/pdf; fulltext

Σύνδεσμος πρόσβασης: http://urn.fi/URN:NBN:fi:jyu-202403202536

A conditional distribution function-based measure for independence and [formula omitted]-sample tests in multivariate data

Συγγραφείς: Wang, Li ^{a, 1}, Zhou, Hongyi ^{a, 1}, Ma, Weidong ^{b, ⁎}, Yang, Ying ^a

Πηγή: In Journal of Multivariate Analysis January 2025 205