While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, which is usually challenging for online learning from a massive stream of data. In this paper, we propose an incremental feature learning algorithm to determine the optimal model complexity for large-scale, online data...

Rapid prototyping (RP) methods are used for production easily and quickly of a scale model of a physical part or assembly. Gas metal arc welding (GMAW) is a widespread process used for rapid prototyping of metallic parts. In this process, in order to obtain a desired welding geometry, it is very important to predict the weld bead geometry based on the input process parameters, which are voltage...

Nowadays, the malware on Android platform is found to be increasing. With prevalent use of code obfuscation technology, precision antivirus software and classical detection techniques low. Classical signature matching manual analysis have exposed issues like low accuracy slow speed. Several authors overcome issue utilizing machine learning (ML) had more research outcomes. growth deep (DL), many...

Abstract As a special deep learning algorithm, the multilayer extreme machine (ML-ELM) has been extensively studied to solve practical problems in recent years. The ML-ELM is constructed from autoencoder (ELM-AE), and its generalization performance affected by representation of ELM-AE. However, given label information, unsupervised ELM-AE difficult build discriminative feature space for classif...