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7 hours ago · In this article, we review the literature on statistical theories of neural networks from three perspectives. In the first part, results on excess risks for ...
16 hours ago · This study delves into the multifaceted nature of cross-validation (CV) techniques in machine learning model evaluation and selection, underscoring the ...
15 hours ago · Using machine learning (ML) approaches such as support vector machines (SVMs) and artificial neural networks (ANNs), nonlinear regression models have been built ...
8 hours ago · Over the last few decades, significant efforts have been devoted to leveraging ML approaches, such as support vector machines [28, 29] , Gaussian processes [30, ...
18 hours ago · Constructing reliable, discriminative feature space is a crucial procedure to recognize the informative patterns of targets in machine learning tasks. Effective ...
7 hours ago · The process begins by constructing a probabilistic surrogate model, such as a Gaussian process or tree-based model, to approximate the unknown performance ...
17 hours ago · Novel hybrid machine learning approach for predicting structural response of RC beams under blast loading ... Gaussian processes for machine learning. vol. 1.
6 hours ago · Identifying the origin and conditions of basalt generation is a crucial yet formidable task. To tackle this challenge, we introduce an innovative approach ...
16 hours ago · I have an origin node and another set of nodes which need to be visited. The final destination is the origin node (it's a round trip)
9 hours ago · This paper addresses the current existence of attribute reduction algorithms for incomplete hybrid decision-making systems, including low attribute ...
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