214.423 hasil untuk machine learning
Menampilkan 341–360 · 1,84 detik · RSS
-
-
Artikel Jurnal Teks lengkap
What can machine learning do for antimicrobial peptides, and what can antimicrobial peptides do for machine learning?
…provide a historical overview of AMPs, summarize previous applications of machine learning to AMPs, and discuss the results of our studies in the context of the latest AMP literature. Much work has been recently done in leveraging computational tools to design new AMP candidates with high…
-
Artikel Jurnal Teks lengkap
Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge
Physics-informed machine learning techniques have emerged to tackle challenges inherent in pure machine learning (ML) approaches. One such technique, the hybrid approach, has been introduced to estimate terrestrial evapotranspiration (ET), a crucial variable linking water, energy, and carbon…
-
Artikel Jurnal Teks lengkap
Comparing Scientific Machine Learning With Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations
A variety of classical machine learning (ML) approaches has been developed over the past decade aiming to individualize drug dosages based on measured plasma concentrations. However, the interpretability of these models is challenging as they do not incorporate information on pharmacokinetic (PK)…
-
Artikel Jurnal Teks lengkap
Machine learning and soil sciences: a review aided by machine learning tools
The application of machine learning (ML) techniques in various fields of science has increased rapidly, especially in the last 10 years. The increasing availability of soil data that can be efficiently acquired remotely and proximally, and freely available open-source algorithms, have led to an…
-
Buku Teks lengkap
Machine Learning by Design
Machine Learning by Design: From Problem Framing to Reliable Systems is a concept-first textbook in machine learning for IOAI students, computer science undergraduates, instructors, and serious self-learners. Instead of presenting machine learning as only a catalog of models or a software toolkit…
-
Buku Teks lengkap
MACHINE LEARNING MADE EASY
Machine Learning Made Easy: A Complete Beginner's Guide Authors: Dr. M. Senthil, Dr. D. Sharada Mani, P.seethalakshmi, KASIPOGULA BHASKARA RAO Description: Unlock the transformative power of machine learning with "Machine Learning Made Easy: A Complete Beginner's Guide." Designed specifically for…
-
Buku Teks lengkap
INTRODUCTION TO MACHINE LEARNING
Welcome to "Introduction to Machine Learning," a collaborative effort from a diverse group of authors, each bringing unique perspectives and expertise to the fascinating world of machine learning. As we stand at the intersection of computer science, mathematics, and data analysis, machine learning…
-
Artikel Jurnal Teks lengkap
Tinker-ing with Machine Learning: The Legality and Consequences of Online Surveillance of Students
-
Buku Teks lengkap
Control Charts and Machine Learning for Anomaly Detection in Manufacturing
International audience
-
Buku Teks lengkap
Explainable and interpretable models in computer vision and machine learning
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like…
-
Buku Teks lengkap
Design sous artifice : la création au risque du machine learning
…ont tendance à se polariser sur le remplacement des humains par la machine. Ce faisant, ils font écran à la question essentielle : quel est le spectre des implications actuelles et potentielles du machine learning pour les pratiques de design ?
-
Buku Teks lengkap
Machine Learning Support for Fault Diagnosis of System-on-Chip
…diagnosis. However, with the fast development and vast application of machine learning (ML) in recent years, ML-based techniques have been shown to be highly valuable for diagnosis. They can be used for volume diagnosis after manufacturing to improve production yield or for diagnosis of customer…
-
Artikel Jurnal Teks lengkap
Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach
…geographical features. We developed a three-stage model using XGBoost, a machine learning algorithm, to quantify the probability of COVID-19 occurrence and estimate the number of potential occurrences for unaffected counties. Finally, these results were combined to predict the county-level risk…
-
Artikel Jurnal Teks lengkap
A Novel Application of Unsupervised Machine Learning and Supervised Machine Learning-Derived Radiomics in Anterior Cruciate Ligament Rupture
PURPOSE: We aim to present an unsupervised machine learning application in anterior cruciate ligament (ACL) rupture and evaluate whether supervised machine learning-derived radiomics features enable prediction of ACL rupture accurately. PATIENTS AND METHODS: Sixty-eight patients were reviewed…
-
Artikel Jurnal Teks lengkap
The rise of scientific machine learning: a perspective on combining mechanistic modelling with machine learning for systems biology
Both machine learning and mechanistic modelling approaches have been used independently with great success in systems biology. Machine learning excels in deriving statistical relationships and quantitative prediction from data, while mechanistic modelling is a powerful approach to capture knowledge…
-
Artikel Jurnal Teks lengkap
Machine Learning for Communications
Due to the proliferation of applications and services that run over communication networks, ranging from video streaming and data analytics to robotics and augmented reality, tomorrow’s networks will be faced with increasing challenges resulting from the explosive growth of data traffic demand with…
-
Artikel Jurnal Teks lengkap
Machine Learning in KM3NeT
…(ARCA) and of determining the neutrino mass hierarchy (ORCA). Various Machine Learning techniques, such as Random Forests, BDTs, Shallow and Deep Networks are being used for diverse tasks, such as event-type and particle identification, energy/direction estimation, source identification…
-
Artikel Jurnal Teks lengkap
Machine Learning in Education
This narrative review examines the historical evolution, current applications, and major challenges of machine learning (ML) in education, positioning ML as a transformative yet deeply contested force in contemporary teaching and learning. Tracing developments from early computer-assisted…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.