Glass products are important evidence of early East–West cultural exchanges. Ancient glass in China mostly consisted lead glass, and potassium is widely believed to be imported abroad. In order figure out the origin artefacts, it crucial define type accurately. contemporary research on chemical composition ancient products, separated from primarily by weight ratio oxides or proportion lead-cont...

Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...

intrusion detection system (IDS) is a device or software application that Li et al (2) proposed a fuzzy multi-class support vector machine algorithm, denoted. Detection System. Multiclass SVM, Neural Network, Support Vector Machine. network and (2) network based intrusion detection system which analyzes. of network intrusion detection systems for struggling progressively leading state-of-the ar...

An incremental learning algorithm based on support vector machine was proposed to process large-scale data or data generated in batches. Initial goal concept learnt by standard support vector machine algorithm was updated by an updating model. Compared with the existing incremental learning algorithms, this algorithm can achieve the incremental inverse process and the training time is in invers...

According to the shortcomings of long time and big errors about the moving plate recognition system, we present the moving plate recognition algorithm based on color extraction and support vector machine. On the basis of the analysis of moving plate recognition system’s basic principles, it introduces the basic principles and calculation steps about color extraction and support vector machine a...

Active learning is a subfield of machine learning based on the idea that the accuracy of an algorithm can be improved with fewer training samples if it is allowed to choose the data from which it learns. We present the results for Support Vector Machine (SVM) active learning experiments for music mood tagging based on a multi-sample selection strategy that chooses samples according to their pro...

With the deep research of genomics and proteomics, the number of new protein sequences has expanded rapidly. With the obvious shortcomings of high cost and low efficiency of the traditional experimental method, the calculation method for protein localization prediction has attracted a lot of attention due to its convenience and low cost. In the machine learning techniques, neural network and su...