Imagen de Portada

A Comparative Analysis of Machine Learning Algorithms for Multi-Task Prediction of the Parameters of the Pectin Hydrolysis--Extraction Process

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Arabov, Mullosharaf K., Kholov, Shavkat Yo., Muhiddin, Zainiddin K.
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Systematic Benchmark of Machine Transliteration Models for the Tajik-Farsi Language Pair: A Comparative Study from Rule-Based to Transformer Architectures
por: Arabov, Mullosharaf K.
Publicado: (2026)

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
por: Arabov, Mullosharaf K.
Publicado: (2026)

Benchmarking POS Tagging for the Tajik Language: A Comparative Study of Neural Architectures on the TajPersParallel Corpus
por: Arabov, Mullosharaf K.
Publicado: (2026)

Benchmarking Parameter-Efficient Fine-Tuning of Large Language Models for Low-Resource Tajik Text Generation with the Tajik Web Corpus
por: Arabov, Mullosharaf K.
Publicado: (2026)

Tatarstan Toponyms: A Bilingual Dataset and Hybrid RAG System for Geospatial Question Answering
por: Arabov, Mullosharaf K.
Publicado: (2026)

TajPersLexon: A Tajik-Persian Lexical Resource and Hybrid Model for Cross-Script Low-Resource NLP
por: Arabov, Mullosharaf K.
Publicado: (2026)

Character-Level Transformer for Tajik-Persian Transliteration with a Parallel Lexical Corpus
por: Arabov, Mullosharaf K.
Publicado: (2026)

Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir
por: Arabov, Mullosharaf K., et al.
Publicado: (2026)

Cardiovascular Disease Prediction using Machine Learning: A Comparative Analysis
por: Ramesh, Risshab Srinivas, et al.
Publicado: (2025)

Comparative Study of Machine Learning Algorithms in Detecting Cardiovascular Diseases
por: K, Dayana, et al.
Publicado: (2024)

Methodology for Comparing Machine Learning Algorithms for Survival Analysis
por: Cardoso, Lucas Buk, et al.
Publicado: (2025)

The Impact of Ontology on the Prediction of Cardiovascular Disease Compared to Machine Learning Algorithms
por: Massari, Hakim El, et al.
Publicado: (2024)

Fuel Consumption Prediction: A Comparative Analysis of Machine Learning Paradigms
por: Akram, Ali
Publicado: (2026)

Comparative Analysis of Stroke Prediction Models Using Machine Learning
por: Tashkova, Anastasija, et al.
Publicado: (2025)

A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data
por: Chakravorty, Amitabh, et al.
Publicado: (2025)

A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
por: Solow, William, et al.
Publicado: (2026)

SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
por: Naser, M. Z., et al.
Publicado: (2023)

On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
por: Aburakhia, Sulaiman, et al.
Publicado: (2024)

Comparing Machine Learning Algorithms by Union-Free Generic Depth
por: Blocher, Hannah, et al.
Publicado: (2023)

Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
por: Azenkot, Daniel, et al.
Publicado: (2026)

Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
por: Ahmed, Iftekhar, et al.
Publicado: (2025)

Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning
por: Ayman, Afiya, et al.
Publicado: (2026)

Procedural Generation of Algorithm Discovery Tasks in Machine Learning
por: Goldie, Alexander D., et al.
Publicado: (2026)

Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities
por: Nadim, Md, et al.
Publicado: (2024)

Machine Learning-Based Prediction of Metal-Organic Framework Materials: A Comparative Analysis of Multiple Models
por: Zheng, Zhuo, et al.
Publicado: (2025)

Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning
por: Gama, Gabriel S., et al.
Publicado: (2025)

Early Prediction of Geomagnetic Storms by Machine Learning Algorithms
por: Yan, Iris
Publicado: (2024)

Multi-Task Reinforcement Learning Enables Parameter Scaling
por: McLean, Reginald, et al.
Publicado: (2025)

Algorithms with Calibrated Machine Learning Predictions
por: Shen, Judy Hanwen, et al.
Publicado: (2025)

ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks
por: Harvey, Christopher, et al.
Publicado: (2025)

Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
por: Liang, Zhiding, et al.
Publicado: (2024)

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
por: Xu, Minghao, et al.
Publicado: (2024)

Classification and Prediction of Heart Diseases using Machine Learning Algorithms
por: Osei-Nkwantabisa, Akua Sekyiwaa, et al.
Publicado: (2024)

Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient Readmission
por: Zarghani, Abolfazl
Publicado: (2024)

Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class Prediction
por: Bringewald, Julia
Publicado: (2025)

Employee Turnover Analysis Using Machine Learning Algorithms
por: Karimi, Mahyar, et al.
Publicado: (2024)

Predicting Onflow Parameters Using Transfer Learning for Domain and Task Adaptation
por: Yilmaz, Emre, et al.
Publicado: (2025)

Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution
por: Ezugwu, Absalom E., et al.
Publicado: (2024)

A Comparative Study of Machine Learning Algorithms for Electricity Price Forecasting with LIME-Based Interpretability
por: Zhao, Xuanyi, et al.
Publicado: (2025)

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data
por: Si, Weichen, et al.
Publicado: (2025)