204.674 hasil untuk machine learning
Menampilkan 121–140 · 3,43 detik · RSS
-
Artikel Jurnal
Robustness Reproduction with Machine Learning
…a robustness reproduction that relaxes the linearity assumption through a Machine Learning (ML) work-flow. The original association patterns are reproducible, while the ML extension uncovers modest nonlinearities with limited gains in explanatory power. Overall, this study illustrates a simple and…
-
Artikel Jurnal Teks lengkap
Machine Learning Lifecycle: A Survey
The operationalization of machine learning (ML) introduces distinct engineering and lifecycle management challenges—such as extreme data dependence, silent model degradation (concept drift), and inherent non-determinism—which traditional software engineering workflows fail to adequately address…
-
Artikel Jurnal Teks lengkap
Machine Learning in E-commerce
With the explosive growth of data, it is one of the most important challenges for modern enterprises to develop data-based infrastructures. The scientific discovery of Artificial Intelligence (IA) is an open opening for a wide range of applications, which allows large quantities of real-time…
-
Artikel Jurnal
Business Valuation with Machine learning
The aim of the article is to test the hypothesis about the applicability of machine learning methods to train models that allow to accurately predict the market capitalization of an enterprise based on data contained in three main forms of financial statements: Income statement, Balance sheet, and…
-
Artikel Jurnal
MLHOps: Machine Learning Health Operations
Machine Learning Health Operations (MLHOps) is the combination of processes for reliable, efficient, usable, and ethical deployment and maintenance of machine learning models in healthcare settings. This paper provides both a survey of work in this area and guidelines for developers and clinicians…
-
Artikel Jurnal Teks lengkap
Machine Learning Using Approximate Computing
…quality. This work analyzes the application of approximate computing for machine learning, specifically focusing on k-means clustering, one of the more widely used unsupervised machine learning algorithms. The k-means algorithm partitions data into k clusters, where k also denotes the number of…
-
Artikel Jurnal
Machine learning-driven nanoparticle toxicity
This study presents a comprehensive machine learning-driven analysis to understand and predict the toxicity of nanoparticles (NPs), a crucial aspect in ensuring the safe application of nanotechnology in medicine, pharmaceuticals, biotechnology, and various other industries. By using a robust…
-
Artikel Jurnal
Data normalization in machine learning
In machine learning, the input data is often given in different dimensions. As a result of the scientific papers review, it is shown that the initial data described in different types of scales and units of measurement should be converted into a single representation by normalization or…
-
Artikel Jurnal
Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) are becoming increasingly important in the field of library and information services as they are bringing about efficiency and improved user engagement. The paper discusses different examples of artificial intelligence (AI) and machine learning…
-
Artikel Jurnal
Clustering methods in machine learning
Clustering is a fundamental task in machine learning for discovering hidden structures in unlabelled data. The article reviews key clustering methods, including centroid, density, hierarchy and model-based approaches. Their advantages, limitations and applications are analysed to provide a…
-
Artikel Jurnal
Machine learning: uma análise bibliométrica
Objetivo: Apresentar uma visão dos artigos científicos publicados nos últimos dez anos sobre o tema aprendizado de máquina, do inglês machine learning (ML), com ênfase nos algoritmos preditivos. Método/abordagem: Análise bibliométrica, com apoio do protocolo PRISMA, para avaliar autores…
-
Artikel Jurnal
Machine Learning Threatens 5G Security
Machine learning (ML) is expected to solve many challenges in the fifth generation (5G) of mobile networks. However, ML will also open the network to several serious cybersecurity vulnerabilities. Most of the learning in ML happens through data gathered from the environment. Un-scrutinized data…
-
Artikel Jurnal Teks lengkap
Machine Learning G-Code Optimization
G-codes are essential in CNC systems, providing crucial instructions for controlling machine parameters and operations in manufacturing, including 3D printing. They may contain errors affecting product quality and increasing resource consumption. This research applies the K-means machine learning…
-
Artikel Jurnal
Clinical Applications of Machine Learning
Objective:. This review introduces interpretable predictive machine learning approaches, natural language processing, image recognition, and reinforcement learning methodologies to familiarize end users. Background:. As machine learning, artificial intelligence, and generative artificial…
-
Artikel Jurnal Teks lengkap
Machine Learning for Biomedical Applications
Machine learning (ML) is a field of artificial intelligence that uses algorithms capable of extracting knowledge directly from data that could support decisions in multiple fields of engineering [...]
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.