Výsledky vyhľadávania - "Linear Regression Algorithms"

Data-Driven Optimization of Dynamic Properties in Additively Manufactured Parts Using Linear Regression Algorithms

Autori: Can Barış Toprak Can Ulas Dogruer

Zdroj: 2025 The 16th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT). :226-232

Perbandingan Performansi Algoritma Multiple Linear Regression dan Multi Layer Perceptron Neural Network dalam Memprediksi Penjualan Obat: Comparison of the Performance of Multiple Linear Regression Algorithms and Multi Layer Perceptron Neural Networks in Predicting Drug Sales

Autori: Danang Arifuddin Kusrini Kusrini Kusnawi Kusnawi

Zdroj: MALCOM: Indonesian Journal of Machine Learning and Computer Science. 5:722-737

Analytical Study Forecasting Students Using Random Forest and Linear Regression Algorithms

Autori: Muhammad Nurdin Fauziah Fauziah

Zdroj: sinkron. 8:2369-2378

Optimizing Hotel Room Occupancy Prediction Using an Enhanced Linear Regression Algorithms

Autori: I Kadek Agus Bisena Poria Pirozmand I Putu Dedy Sandana a ďalší

Zdroj: MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer. 24:95-104

Implementation of Selection of Employee Candidates By Utilizing Social Media Using Linear Regression Algorithms and Topsis Methods: A Case Study of A Boarding School

Autori: Robby Ilhamkusuma Irwan Robi Prastomo Mardi Hardjianto

Zdroj: Eduvest - Journal of Universal Studies. 4:7017-7029

Analyzing the Performance of Novel Logistic Regression over Linear Regression Algorithms for Predicting Fake Job with Improved Accuracy

Autori: Narayanan. R Bhavani R R Balamanigandan a ďalší

Zdroj: 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). :1728-1732

DATA MINING ESTIMATE TOURISM INCOME IN TOMOHON CITY USING MULTIPLE LINEAR REGRESSION ALGORITHMS

Autori: Beauty Leony Karamoy Vivi Peggie Rantung Sondy Kumajas a ďalší

Zdroj: Jurnal Teknik Informatika (Jutif). 5:235-240

Enhancing Sales Prediction for MSMEs: A Comparative Analysis of Neural Network and Linear Regression Algorithms

Autori: Rahmad Taufiqih Rita Ambarwati

Zdroj: Jurnal Teknologi dan Manajemen Informatika, Vol 10, Iss 1, Pp 81-91 (2024)

Predmety: sales, neural network, 8. Economic growth, prediction, Information technology, linear regression, T58.5-58.64

Prístupová URL adresa: https://doaj.org/article/61a3e9fe4702490e9f44646734810a96

PREDICTION OF BIODIESEL FUEL PRICES USING MULTIPLE LINEAR REGRESSION ALGORITHMS

Autori: Adi Kuncoro Dewi Marini Umi Atmaja Deny Haryadi

Zdroj: JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer). 9:180-187

Predmety: 2. Zero hunger, 13. Climate action, 7. Clean energy

Electrical Load Forecasting Based on Random Forest, XGBoost, and Linear Regression Algorithms

Autori: Mobarak Abumohsen Amani Yousef Owda Majdi Owda

Zdroj: 2023 International Conference on Information Technology (ICIT). :25-31

Non-Linear Regression Algorithms for Selected Growth Models

Autori: Nkpordee Lekia Ogolo Ibinabo Magnus Dappa Jane Aselenyeofori

Zdroj: Journal of Mathematical Sciences & Computational Mathematics. 4:428-441

Predmety: 01 natural sciences, 0104 chemical sciences

Student semester marks prediction using linear regression algorithms in machine learning

Autori: Abirami T R. Vadivel

Zdroj: World Journal of Advanced Research and Reviews. 18:469-475

Predmety: Artifical Intelligence, Machine Learning, Linear Regression Algorithm, Multiple Marks, Prediction, 4. Education

Performance Characterization of Clusterwise Linear Regression Algorithms

Autori: Ye Chow Kuang Melanie Ooi

Zdroj: WIREs Computational Statistics. 16

Work Process Efficiency With Goods Arrival Predictions Against Production Plans Using Linear Regression Algorithms

Autori: Bramandito Yusuf Rizqi Affandi Yana Cahyana Dwi Sulistya Kusumaningrum a ďalší

Zdroj: Edutran Computer Science and Information Technology. 1:9-18

Predmety: 8. Economic growth

Comparative Performance Evaluation of Random Forest, Extreme Gradient Boosting and Linear Regression Algorithms Using Nigeria’s Gross Domestic Products

Autori: M. D. Adewale D. U. Ebem O. Awodele a ďalší

Zdroj: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031518485

IDENTIFY CHOLESTEROL DISEASE RISK LEVELS USING MULTIPLE LINEAR REGRESSION ALGORITHMS

Autori: Dewi Marini Umi Atmaja Deny Haryadi

Zdroj: JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer). 8:10-17

Predmety: 3. Good health

Do people only believe what they want to believe? An empirical analysis of the Pygmalion effect in telemedicine platforms based on linear regression algorithms

Autori: Xin Shen Yulin Yan Huikang Liu

Predmety: 3. Good health

Utilization of Machine Learning to Predict Costs of Patients in the Emergency Department: Random Forest and Linear Regression Algorithms

Autori: ATALAN, ABDULKADİR

Prístupová URL adresa: https://avesis.comu.edu.tr/publication/details/6503cade-f9a0-429b-a6d1-ce1d011bfcaa/oai

Comparison of Decision Tree and Linear Regression Algorithms in the Case of Spread Prediction of COVID-19 in Indonesia

Autori: Darwin Darwin Dwiky Christian Wilson Chandra a ďalší

Zdroj: Journal of Computer Networks, Architecture and High Performance Computing. 4:1-12

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

A comparative accuracy analysis of predicting child health using thermal image data using logistic regression over linear regression algorithms

Autori: R. Nikhilesh Reddy null Govindasamy

Zdroj: AIP Conference Proceedings. 3252:020024