Results 101 to 110 of about 44,902,161 (285)

Method of Feature Reduction in Short Text Classification Based on Feature Clustering

open access: yesApplied Sciences, 2019
One decisive problem of short text classification is the serious dimensional disaster when utilizing a statistics-based approach to construct vector spaces. Here, a feature reduction method is proposed that is based on two-stage feature clustering (TSFC),
Fangfang Li   +4 more
doaj   +1 more source

Real‐World Safety of Concomitant Colchicine and Statin Therapy

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the risk of clinically meaningful muscle‐ and liver‐related outcomes associated with concomitant colchicine–statin therapy in a real‐world setting, and to determine whether concomitant therapy increases the incidence of toxicity compared with either agent alone.
Roni Meidan   +5 more
wiley   +1 more source

Short Text Feature Extraction and Classification Based on Serial–Parallel Convolutional Gated Recurrent Neural Network

open access: yes工程科学与技术, 2019
In order to address the problems that the features and information is limited in short text, the short text features are not fully expressed by traditional convolutional neural network (CNN) and recurrent neural network (RNN), a text classification model
Xianlun TANG   +3 more
doaj  

Label knowledge-guided heterogeneous graph contrastive learning for semi-supervised short text sentiment classification

open access: yesJournal of Big Data
Semi-supervised classification demonstrates effective performance in categorizing short-length texts, such as social media posts and online reviews, through the utilization of limited labeled data.
Mingqiang Wu
doaj   +1 more source

Short-Text Classification Detector: A Bert-Based Mental Approach. [PDF]

open access: yesComput Intell Neurosci, 2022
Hu Y, Ding J, Dou Z, Chang H.
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Incorporate Syntactic Information for Short Text Classification

open access: yes, 2011
As the volume of online short text documents grow tremendously on the Internet, it is much more urgent to solve the task of organizing the short texts well. However, the traditional feature selection methods cannot suitable for the short text.
Xiao Jie Wang, Rui Xue Duan, Wen Feng Li
core   +1 more source

Text Classification Using Long Short-Term Memory With GloVe Features [PDF]

open access: yes, 2019
In the classification of traditional algorithms, problems of high features dimension and data sparseness often occur when classifying text. Classifying text with traditional machine learning algorithms has high efficiency and stability characteristics ...
Rini, Dian Palupi   +2 more
core   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

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