Least Squares One-Class Support Tensor Machine

One-class classification problem has become a popular problem in many fields, with a wide range of applications in anomaly detection, fault diagnosis, and face recognition. We investigate the one-class classification problem for second-order tensor data. Traditional vector-based one-class classification methods such as one-class support vector machine (OCSVM) and least squares one-class support vector machine (LSOCSVM) have limitations when tensor is used as input data, so we propose a new tensor one-class classification method, LSOCSTM, which directly uses tensor as input data. On one hand, using tensor as input data not only enables to classify tensor data, but also for vector data, classifying it after high dimensionalizing it into tensor still improves the classification accuracy and overcomes the over-fitting problem. On the other hand, different from one-class support tensor machine (OCSTM), we use squared loss instead of the original loss function so that we solve a series of linear equations instead of quadratic programming problems. Therefore, we use the distance to the hyperplane as a metric for classification, and the proposed method is more accurate and faster compared to existing methods. The experimental results show the high efficiency of the proposed method compared with several state-of-the-art methods.

外科护理带教中应用3-Class情景教学模式的效果观察

目的:观察外科护理带教中应用3-Class情景教学模式的效果。方法:选取本院外科2021年1月至2022年6月的56名实习护生,根据不同护理带教方式将其纳入对照组(n=28)与试验组(n=28),分别采用常规教学模式与3-Class情景教学模式,对比两组护生的问题解决能力(PSI评分)。结果:试验组问题解决能力各项评分均高于对照组(P<0.05)。结论:外科护理带教中应用3-Class情景教学模式的效果较好,可明显提升护生的问题解决能力,值得推行。

粗糙one-class支持向量机

粗糙集理论是处理不确定性和不完备信息的重要方法之一。通过将粗糙集理论引入到one-class支持向量机,提出了一种新颖的粗糙one-class支持向量机。通过定义上近似超平面和下近似超平面,使得训练样本能根据在粗糙间隔中的位置,自适应地对决策超平面产生影响。并且,outlier样本由于距离上近似超平面较近并产生较小的间隔误差,不会导致决策超平面对它们产生明显的过拟合。实验结果表明,粗糙one-class支持向量机的泛化性能优异,识别率和误识率均优于传统的one-class支持向量机。

局部线性与One-Class结合的科技文本分类方法

结合了局部线性和One-Class的思想对科技文本分类问题进行了研究,利用局部线性的思想寻找文本样本的内在支撑流形,利用One-Class的思想确定正负样本的分界面·与K近邻算法、线性SVM算法和One-Class问题的SVM算法相比,给出的科技文本分类方法具有分类精度高、参数估计简便、正负样本分类精度可控制等优点,为解决科技文献的分类问题提供了一条有效的途径·

基于one-class SVM与融合多可视化特征的可通行区域检测

针对难以获取完备的非可通行区域样本问题,为提高算法在不同场景的适应性,首次把可通行性检测看作单类分类问题,提出了基于one-class SVM的可通行区域检测算法.提出一种改进的融合颜色和纹理的特征提取方法,对各颜色分量进行离散余弦变换(DCT)变换,对DCT系数进行金字塔分解,用每个分解的均值和方差描述特征窗口.利用one-class SVM进行训练生成可通行区域的模式.实验表明,方法对新数据具有很好的识别能力,具有较高的检测精度和较低的误检率.

基于C-class和E-class的B-learning在高职英语教学中的应用研究

B-learning是传统课堂教学C-class和网络平台学习E-class混合互补的教学模式,体现了《大学英语课程要求》提出的英语教学模式改革精神。结合山东外贸职业学院目前正在进行的高职英语B-learning改革尝试,讨论了高职英语B-learning模式下的教学设计及其效果。

刍议如何利用TV-Class制作微课

随着网络技术和多媒体技术的发展与普及,信息化的加速发展推动了“微时代”的来临。文章讲述了TV-Class制作微课的方法,有效推进学校优质教学资源的建设。

A comparison study between one-class and two-class machine learning for MicroRNA target detection

The application of one-class machine learning is gaining attention in the computational biology community. Different studies have described the use of two-class machine learning to predict microRNAs (miRNAs) gene target. Most of these methods require the generation of an artificial negative class. However, designation of the negative class can be problematic and if it is not properly done can affect the performance of the classifier dramatically and/or yield a biased estimate of performance. We present a study using one-class machine learning for miRNA target discovery and compare one-class to two-class approaches. Of all the one-class methods tested, we found that most of them gave similar accuracy that range from 0.81 to 0.89 while the two-class naive Bayes gave 0.99 accuracy. One and two class methods can both give useful classification accuracies. The advantage of one class methods is that they don’t require any additional effort for choosing the best way of generating the negative class. In these cases one- class methods can be superior to two-class methods when the features which are chosen as representative of that positive class are well defined.

One-Class分类器研究

传统的多类分类问题需要多类样本训练分类器,然而由于样本获取(复杂性或代价)的原因很多情况下只能获取一类样本,故只能利用这一类样本进行学习,形成数据描述从而实现分类,故称之为One-Class分类.鉴于目前单类分类研究存在领域相关方法和通用方法百花齐放的格局,本文首先给出了当前One-Class分类器的研究综述,然后重点针对基于核方法的单类分类器进行分析,将该类方法分为对偶方式和核距离方式两类,并分析各自的特点.最后论文介绍了目前的单类分类器的应用领域,指出其在故障分析、异常检测、疾病诊断和敌我识别等现实问题中的重要作用.

On the Out-of-class Activities in EFL Teaching

EFL is very popular in China,but in-class learning is limited by many factors,such as time,space and teaching media,etc. This paper focuses on the out-of-class activities in EFL teaching,which aims at enhancing in-class English teaching as a supplement.

基于One-Class SVM的青鳉鱼异常行为识别方法

为了更准确地解析青鳉鱼在突发污染环境中的行为变化趋势,提出了一种基于One-Class SVM模型的青鳉鱼异常行为识别方法。以青鳉鱼的生理及行为特征作为观测指标,将采集到的暴露在不同类型和浓度特征污染物下的青鳉鱼行为强度信号作为经验数据,利用直方图统计和主成分分析(PCA)对行为强度数据进行降维,实现行为特征提取,基于One-Class SVM构建模型,并以五水合硫酸铜和三氯酚作为特征污染物进行暴露实验对算法进行验证。结果表明,One-Class SVM模型可以准确地识别正常行为和污染物暴露时发生的异常行为;对于有机污染物最快可在10 min内完成预警,重金属污染物可在1 h内完成预警,并且污染物浓度越高,模型的识别效果越好。识别方法可对水源突发性水质污染进行更有效的监测和预警,也可为水污染应急决策提供技术支撑。

Weak WT_2-class of differential forms and weakly A-harmonic tensors

In this paper, we give the definition of weak WT2-class of differential forms, and then obtain its weak reverse Holder inequality. As an application, we give an alternative proof of the higher integrability result of weakly A-harmonic tensors due to B. Stroffolini.

基于3-Class的情景模拟教学模式在心血管外科体外循环护理带教中的应用

目的探讨基于3-Class的情景教学模式在心血管外科体外循环护理带教中的应用效果。方法选择2019年10月至2021年9月在中国科学院大学重庆医院心血管外科实习的60名护生为研究对象,根据入科实习时间进行分组,将2019年10月至2020年9月入科实习的30名护生设为对照组,采用传统护理教学方法带教;2020年10月至2021年9月入科实习的30名护生设为干预组,在对照组的基础上运用基于3-Class的情景模拟教学法教学,比较两组护生实习前后的核心能力(CINS)、问题解决能力(PSI)、体外循环护理技术操作考核成绩。结果两组护生入科时的CINS和PSI各维度评分比较,差异无统计学意义(P>0.05);干预组护生出科时的CINS和PSI各维度评分高于对照组,且体外循环护理技术操作考核成绩也高于对照组,差异有统计学意义(P<0.05)。结论基于3-Class的情景教学模式能提高心血管外科护生的核心能力、问题解决能力以及体外循环护理技术实践能力,值得临床推广运用。

网络思想政治教育新平台探索——网络班级管理系统(Ⅰ-Class)实证研究

网络信息时代的全面来临对传统的班级管理和思想政治教育工作产生了巨大的影响和挑战。通过对山东大学、齐鲁工业大学等六所高校900余名学生的问卷调查分析,厘清了新形势下班级管理的困境、重点和方向。通过ICMS(网班管理系统)的研发与实践,探寻出了互联网时代开展班级管理和思想政治教育工作的新途径。

Probabilistic teleportation of an arbitrary GHZ-class state with a pure entangled two-particle quantum channel and its application in quantum state sharing

This paper presents a scheme for probabilistic teleportation of an arbitrary GHZ-class state with a pure entangled two-particle quantum channel. The sender Alice first teleports the coefficients of the unknown state to the receiver Bob, and then Bob reconstructs the state with an auxiliary particle and some unitary operations if the teleportation succeeds. This scheme has the advantage of transmitting much less particles for teleporting an arbitrary GHZ-class state than others. Moreover, it discusses the application of this scheme in quantum state sharing.

Scheme for implementing quantum dense coding with W-class state in cavity QED

An experimentally feasible protocol for realizing dense coding by using a class of W-state in cavity quantum electrodynamics （QED） is proposed in this paper. The prominent advantage of our scheme is that the successful probability of the dense coding with a W-class state can reach 1. In addition, the scheme can be implemented by the present cavity QED techniques.

S_p-CLASS(0

In this paper,we construct a function u in L2,1（Bn,dA）,which is unbounded on any neighborhood of each boundary point of B n,such that Toeplitz operator Tu is compact on Dirichlet space D（Bn,dA）.Furthermore,Schatten p-class（0〈p〈∞） Toeplitz operators on Dirichlet space D（Bn,dA） with unbounded symbols are also obtained.

Conformal invariance and conserved quantities of Appell systems under second-class Mei symmetry

In this paper we introduce the new concept of the conformal invariance and the conserved quantities for Appell systems under second-class Mei symmetry. The one-parameter infinitesimal transformation group and infinitesimal transformation vector of generator are described in detail. The conformal factor in the determining equations under second-class Mei symmetry is found. The relationship between Appell system＇s conformal invariance and Mei symmetry are discussed. And Appell system＇s conformal invariance under second-class Mei symmetry may lead to corresponding Hojman conserved quantities when the conformal invariance satisfies some conditions. Lastly, an example is provided to illustrate the application of the result.

Turbopump Condition Monitoring Using Incremental Clustering and One-class Support Vector Machine

Turbopump condition monitoring is a significant approach to ensure the safety of liquid rocket engine （LRE）.Because of lack of fault samples,a monitoring system cannot be trained on all possible condition patterns.Thus it is important to differentiate abnormal or unknown patterns from normal pattern with novelty detection methods.One-class support vector machine （OCSVM） that has been commonly used for novelty detection cannot deal well with large scale samples.In order to model the normal pattern of the turbopump with OCSVM and so as to monitor the condition of the turbopump,a monitoring method that integrates OCSVM with incremental clustering is presented.In this method,the incremental clustering is used for sample reduction by extracting representative vectors from a large training set.The representative vectors are supposed to distribute uniformly in the object region and fulfill the region.And training OCSVM on these representative vectors yields a novelty detector.By applying this method to the analysis of the turbopump＇s historical test data,it shows that the incremental clustering algorithm can extract 91 representative points from more than 36 000 training vectors,and the OCSVM detector trained on these 91 representative points can recognize spikes in vibration signals caused by different abnormal events such as vane shedding,rub-impact and sensor faults.This monitoring method does not need fault samples during training as classical recognition methods.The method resolves the learning problem of large samples and is an alternative method for condition monitoring of the LRE turbopump.

Quantum correlation of a three-particle-class state under quantum decoherence

We investigate the quantum characteristics of a three-particle W-class state and reveal the relationship between quan- tum discord and quantum entanglement under decoherence. We can also identify the state for which discord takes a maximal value for a given decoherence factor, and present a strong bound on quantum entanglement-quantum discord. In contrast, a striking result will be obtained that the quantum discord is not always stronger than the entanglement of formation in the case of decoherence. Furthermore, we also theoretically study the variation trend of the monogamy of quantum correlations for the three-particle W-class state under the phase flip channel, and find that the three-particle W-class state could transform from polygamous into monogamous, owing to the decoherence.