SVM were developed in an effort to develop artificial intelligence strategies for complex problems. SVM have mostly been applied to classification or regression problems. For classification purposes, SVMs aim to produce a mathematical n-dimensional space function capable of non-linearly distinguishing ...
Phishing emails tend to target specific groups of people or exploit critical moments in time in reality, which only account for a small percentage. For example, since the outbreak of the novel coronavirus in late 2019, attackers have been exploiting people’s fears by sending phishing emails ...
Finally, a numerical simulation example is provided to demonstrate the effectiveness of the proposed design approach. Introduction The past few decades have witnessed constant research interests on both the analysis and synthesis problems of sampled-data control systems, and a rich body of literature ...
In the current era of big data, data mining and analysis are becoming increasingly important for making effective decisions. Among the various data mining techniques, classification analysis is one of techniques most widely used for various business and engineering problems, such as bankruptcy prediction...
These works focused on the bias due to the omission of the variable selection step in CV and had a large impact on the quality of subsequent published research, especially when considering high-dimensional data. Others showed that similar problems are encountered when classifier parameter tuning is...
These works focused on the bias due to the omission of the variable selection step in CV and had a large impact on the quality of subsequent published research, especially when considering high-dimensional data. Others showed that similar problems are encountered when classifier parameter tuning is...
SVM were developed in an effort to develop artificial intelligence strategies for complex problems. SVM have mostly been applied to classification or regression problems. For classification purposes, SVMs aim to produce a mathematical n-dimensional space function capable of non-linearly distinguishing ...
2 Since the system input is irrelevant in state and event estimation problems here, we consider a linear switching system without input {ẋ(t)=Aγ(t)x(t),y(t)=Cγ(t)x( Joint observability of state and event For τk and the unknown γk in the time interval [τk,τk+1), we...
However, it is not suitable for decision problems with a certain decision intention, and it is difficult to effectively implement when the data scale is large. In view of the above shortcomings of the distribution detection method, many scholars integrated the classification model to study the ...
For example, when ρ=0.75, the Eff4 values based on MRSS are 1.23, 1.32, 1.45, and 1.57 for m= 2, 4, 6, and 12. • The efficiency of MRSS estimators decreases as the correlation coefficient decreases. For instance, when m is 2, the Eff1 values are 2.08, 1.62, 1.37, 1.06, ...