Machine learning (ML) methods make it possible to create complex data schemas more simply while keeping the same annotation system. The objectives of this study are to compare (1) the capacity of ten machine learning algorithms to predict dental age in children using the seven left permanent ...
Optimisation of laser welding of deep drawing steel for automotive applications by Machine Learning: A comparison of different techniques Literature often resorts to supervised Machine Learning approaches. However, selecting the ApTest method is non‐trivial and often decision making relies on ... G Ma...
Managers Training Programs Effectiveness Evaluation by using different Machine Learning Approaches 来自 Semantic Scholar 喜欢 0 阅读量: 12 作者:V Sharma,S Jain 摘要: Evaluating the training program conducted for managers is very essential to check the feasibility and effectiveness of the offered training...
Additionally, the machine learning methods perform better over densely vegetated conditions than barren land or sparsely vegetated conditions. The regional ET generated from the machine learning approaches captured the spatial and temporal patterns of ET at the regional scale. 展开 ...
Machine learning approaches for lateral strength estimation in squat shear walls: A comparative study and practical implications 2024, Expert Systems with Applications Citation Excerpt : These limitations have led to a significant deviation in the estimated shear capacity of short RC walls, highlighting ...
Machine Learning FAQ Since there are so many different approaches, let’s break it down to “feature selection” and “feature extraction.” Some examples of feature selection: L1 regularization (e.g., Logistic regression) and sparsity variance thresholds...
aIn classification problems, many different active learning techniques are often adopted to find the most informative samples for labeling in order to save human labors. Among them, active learning support vector machine (SVM) is one of the most representative approaches, in which model parameter is...
Fundamental period of masonry-infill reinforced concrete frame structures was predicted usingexplainablemachine learning (ANN, SVR, RF, and KNN)Explainable artificial intelligence (XAI) methods reveal the causality of predictions and models' inner working, improving end-users' trust in machine learning.LI...
As a result, the primary contribution made by this study is to explain the concepts underlying various machine learning approaches and how they can be applied in a wide range of real-world applications, such as e-commerce, cybersecurity platforms, smart towns and cities, healthcare, and ...
Comparing the Performance of Various Machine Learning Approaches in Identifying Different Classes of Dementiadoi:10.2139/ssrn.3833832Improvement in healthcare facilities with regard to infectious diseases has lead to temporal shift of disease scenario towards chronic disease due to aging. DemGuram, ...