用英文润色一下下面一段论文:y.After each round of interaction, the consumer estimates the utility of the predicate used in the query, which is useful for planning the next round of interaction. The utility of a predicate 푃 expresses the anticipated accuracy improvement that R푃 brings to M. We define a measure that we call novelty to quantify predicate utility. The basic idea of this measure is to quantify the difference between the data acquired in the interaction to those that the consumer currently possesses. The higher the difference, the more information this interaction brings to the consumer. Let RM:푃 be the records the consumer currently possesses satisfying 푃. The novelty of predicate 푃, denoted as 푈푃 , is defined on RM:푃 and R푃 . More specifically, we consider a binary classification problem that treats RM:푃 and R푃 as samples from class 0 and class 1 respectively, and train a classifier CLF to distinguish between the two sets of records. The utility of 푃 is computed as follows:

时间: 2023-02-24 22:55:07 浏览: 150
请用中文润色:每一轮交互后,消费者估计查询中使用的谓词的效用,这对规划下一轮交互很有用。谓词 푃 的效用表示 R푃 给 M 带来的预期精确度提高。我们定义了一个称为新颖性的度量来量化谓词效用。这个度量的基本思想是量化交互中获得的数据与消费者当前拥有的数据的差异。差异越大,这次交互为消费者带来的信息就越多。设 RM:푃 为消费者当前拥有满足 푃 的记录。谓词 푃 的新颖性,符号为 푈푃 ,是基于 RM:푃 和 R푃 定义的。更具体地,我们考虑一个二分类问题,将 RM:푃 和 R푃 分别作为类 0 和类 1 的样本,并训练分类器 CLF 来区分这两组记录。计算 푃 的效用如下:
相关问题

Briefly describe the following diagrams: a.Class diagrams b.Use case diagrams: c.Objects diagrams d.Interaction diagrams

a. Class diagrams: Class diagrams are a type of structural diagram that represents the structure of a system by showing its classes, attributes, methods, and their relationships. b. Use case diagrams: Use case diagrams are a type of behavioral diagram that represents the functionality of a system by showing the interactions between actors and use cases. c. Object diagrams: Object diagrams are a type of structural diagram that represents a snapshot of a system at a particular point in time by showing objects and their relationships. d. Interaction diagrams: Interaction diagrams are a type of behavioral diagram that represents the dynamic behavior of a system by showing the interactions between objects or actors. There are two types of interaction diagrams: sequence diagrams and communication diagrams. Sequence diagrams show the interactions between objects in a sequential order, while communication diagrams show the interactions between objects in a more concurrent way.

Run a stratified Cox model with no interaction, where all risk factors that violate the PH assumption are stratified (named Model 2). Comment on the outputs of Model 2.翻译这个问题

请问您需要翻译的是 "Run a stratified Cox model with no interaction, where all risk factors that violate the PH assumption are stratified (named Model 2). Comment on the outputs of Model 2." 这个问题吗? 翻译如下: 运行一个无交互作用的分层Cox模型,其中所有违反PH假设的风险因素都被分层(称为模型2)。评论模型2的输出。

相关推荐

精简下面表达:Existing protein function prediction methods integrate PPI networks and multivariate bioinformatics data to improve the performance of function prediction. By combining multivariate information, the interactions between proteins become diverse. Different interactions’ functions in functional prediction are various. Combining multiple interactions simply between two proteins can effectively reduce the effect of false negatives and increase the number of predicted functions, but it can also increase the number of false positive functions, which contribute to nonobvious enhancement for the overall functional prediction performance. In this article, we have presented a framework for protein function prediction algorithms based on PPI network and semantic similarity with the addition of protein hierarchical functions to them. The framework relies on diverse clustering algorithms and the calculation of protein semantic similarity for protein function prediction. Classification and similarity calculations for protein pairs clustered by the functional feature are more accurate and reliable, allowing for the prediction of protein function at different functional levels from different proteomes, and giving biological applications greater flexibility.The method proposed in this paper performs well on protein data from wine yeast cells, but how well it matches other data remains to be verified. Yet until now, most unknown proteins have only been able to predict protein function by calculating similarities to their homologues. The predictions result of those unknown proteins without homologues are unstable because they are relatively isolated in the protein interaction network. It is difficult to find one protein with high similarity. In the framework proposed in this article, the number of features selected after clustering and the number of protein features selected for each functional layer has a significant impact on the accuracy of subsequent functional predictions. Therefore, when making feature selection, it is necessary to select as many functional features as possible that are important for the whole interaction network. When an incorrect feature was selected, the prediction results will be somewhat different from the actual function. Thus as a whole, the method proposed in this article has improved the accuracy of protein function prediction based on the PPI network method to a certain extent and reduces the probability of false positive prediction results.

3.4 Pair Interaction Feature The interaction pattern between two individuals is encoded by a spatial descriptor with view invariant relative pose encoding. Given the 3D locations of two individual detec- tions zi,zj and two pose features pi,pj, we represent the pairwise relationship using view normalization, pose co-occurrence encoding, semantic compression and a spatial histogram (see Fig. 5 for illustration). The view normalization is performed by rotating the two people in 3D space by θ with respect to their midpoint, making their connecting line perpendicular to the cam- era view point. In this step, the pose features are also shifted accordingly (e.g. if θ = 45‘, shift 1 dimension with a cycle). Then, the co-occurrence feature is obtained by building a 2-dimensional matrix in which each element (r, c) corresponds to min(pi(r), pj (c)). Although the feature is view invariant, there are still elements in the matrix that deliver the same semantic concepts (e.g. left-left and right-right). To reduce such unnecessary variance and obtain a compact representation, we perform another transformation by multiplying a semantic compression matrix Sc to the vector form of the co-occurrence feature. The matrix Sc is learned offline by enumerating all possible configurations of view points and grouping the pairs that are equivalent when rotated by 180 degrees. Finally, we obtain the pair interaction descriptor by building a spatial histogram based on the 3D distance between the two (bin centers at 0.2, 0.6, 2.0 and 6.5 m). Here, we use linear interpolation similarly to contextual feature in Sec. 3.3. Given the interac- tion descriptor for each pair, we represent the interaction feature φxx(xi,xj) using the confidence value from an SVM classifier trained on a dictionary of interaction labels Y.什么意思

Rab GTPases serve as master regulators of membrane trafficking. They can be activated by guanine nucleotide exchange factors (GEF) and be inactivated by GTPase-activating proteins (GAPs). The roles of some GAPs have been explored in Saccharomyces cerevisiae, but are largely unknown in filamentous fungi. Here, we investigated the role of GAP Gyp3 gene, an ortholog of S. cerevisiae Gyp3, in an entomopathogenic fungus, Metarhizium acridum. We found that MaGyp3 is mainly localized to the endoplasmic reticulum (ER) of vegetative hyphae, nuclei of mature conidia, and both ER and nuclei in invasive hyphae. Lack of MaGyp3 caused a decreased tolerance to hyperosmotic stress, heat-shock and UV-B radiation. Moreover, the ΔMaGyp3 mutant showed a significantly decreased pathogenicity owing to delayed germination, reduced appressorium-mediated penetration and impaired invasive growth. Loss of MaGyp3 also caused impaired fungal growth, advanced conidiation and defects in utilization of carbon and nitrogen sources, while overexpression of MaGyp3 exhibited delayed conidiation on nutrient-rich medium and conidiation pattern shift from microcycle conidiation to normal conidiation on nutrient-limited medium. Mavib-1, a tanscription factor invloved in conidiation by affecting nutrient utilizaiton, can directly bind to the promoter of MaGyp3. ΔMaGyp3 and ΔMavib-1 mutants shared similar phenotypes, and overexpression mutants of MaGyp3 and Mavib-1 (Mavib-1-OE) exhibited similar phenotypes in growth, conidiation and pathogenicity. Reintroduction of the Magyp3 driven by strong promoter gpd in ΔMavib-1 mutant recovered the defects in growth and conidiation for dysfunction of Mavib1. Taken together, our findings uncovered the role of GAP3 in a filamentous pathogenic fungus and and illustrated the upstream regulatory mechanism by direct interaction with Mavib-1.请用nature杂志的风格润色成学术论文的形式。

最新推荐

recommend-type

node-v4.1.0-linux-x64.tar.xz

Node.js,简称Node,是一个开源且跨平台的JavaScript运行时环境,它允许在浏览器外运行JavaScript代码。Node.js于2009年由Ryan Dahl创立,旨在创建高性能的Web服务器和网络应用程序。它基于Google Chrome的V8 JavaScript引擎,可以在Windows、Linux、Unix、Mac OS X等操作系统上运行。 Node.js的特点之一是事件驱动和非阻塞I/O模型,这使得它非常适合处理大量并发连接,从而在构建实时应用程序如在线游戏、聊天应用以及实时通讯服务时表现卓越。此外,Node.js使用了模块化的架构,通过npm(Node package manager,Node包管理器),社区成员可以共享和复用代码,极大地促进了Node.js生态系统的发展和扩张。 Node.js不仅用于服务器端开发。随着技术的发展,它也被用于构建工具链、开发桌面应用程序、物联网设备等。Node.js能够处理文件系统、操作数据库、处理网络请求等,因此,开发者可以用JavaScript编写全栈应用程序,这一点大大提高了开发效率和便捷性。 在实践中,许多大型企业和组织已经采用Node.js作为其Web应用程序的开发平台,如Netflix、PayPal和Walmart等。它们利用Node.js提高了应用性能,简化了开发流程,并且能更快地响应市场需求。
recommend-type

基于AT89S52的数字温度计设计说明.docx

基于AT89S52的数字温度计设计说明.docx
recommend-type

HTML+CSS+JS精品网页模板H108.rar

HTML5+CSS+JS精品网页模板,设置导航条、轮翻效果,鼠标滑动效果,自动弹窗,点击事件、链接等功能;适用于大学生期末大作业或公司网页制作。响应式网页,可以根据不同的设备屏幕大小自动调整页面布局; 支持如Dreamweaver、HBuilder、Text 、Vscode 等任意html编辑软件进行编辑修改; 支持包括IE、Firefox、Chrome、Safari主流浏览器浏览; 下载文件解压缩,用Dreamweaver、HBuilder、Text 、Vscode 等任意html编辑软件打开,只需更改源代码中的文字和图片可直接使用。图片的命名和格式需要与原图片的名字和格式一致,其他的无需更改。如碰到HTML5+CSS+JS等专业技术问题,以及需要对应行业的模板等相关源码、模板、资料、教程等,随时联系博主咨询。 网页设计和制作、大学生网页课程设计、期末大作业、毕业设计、网页模板,网页成品源代码等,5000+套Web案例源码,主题涵盖各行各业,关注作者联系获取更多源码; 更多优质网页博文、网页模板移步查阅我的CSDN主页:angella.blog.csdn.net。
recommend-type

zigbee-cluster-library-specification

最新的zigbee-cluster-library-specification说明文档。
recommend-type

管理建模和仿真的文件

管理Boualem Benatallah引用此版本:布阿利姆·贝纳塔拉。管理建模和仿真。约瑟夫-傅立叶大学-格勒诺布尔第一大学,1996年。法语。NNT:电话:00345357HAL ID:电话:00345357https://theses.hal.science/tel-003453572008年12月9日提交HAL是一个多学科的开放存取档案馆,用于存放和传播科学研究论文,无论它们是否被公开。论文可以来自法国或国外的教学和研究机构,也可以来自公共或私人研究中心。L’archive ouverte pluridisciplinaire
recommend-type

实现实时数据湖架构:Kafka与Hive集成

![实现实时数据湖架构:Kafka与Hive集成](https://img-blog.csdnimg.cn/img_convert/10eb2e6972b3b6086286fc64c0b3ee41.jpeg) # 1. 实时数据湖架构概述** 实时数据湖是一种现代数据管理架构,它允许企业以低延迟的方式收集、存储和处理大量数据。与传统数据仓库不同,实时数据湖不依赖于预先定义的模式,而是采用灵活的架构,可以处理各种数据类型和格式。这种架构为企业提供了以下优势: - **实时洞察:**实时数据湖允许企业访问最新的数据,从而做出更明智的决策。 - **数据民主化:**实时数据湖使各种利益相关者都可
recommend-type

spring添加xml配置文件

1. 创建一个新的Spring配置文件,例如"applicationContext.xml"。 2. 在文件头部添加XML命名空间和schema定义,如下所示: ``` <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans
recommend-type

JSBSim Reference Manual

JSBSim参考手册,其中包含JSBSim简介,JSBSim配置文件xml的编写语法,编程手册以及一些应用实例等。其中有部分内容还没有写完,估计有生之年很难看到完整版了,但是内容还是很有参考价值的。
recommend-type

"互动学习:行动中的多样性与论文攻读经历"

多样性她- 事实上SCI NCES你的时间表ECOLEDO C Tora SC和NCESPOUR l’Ingén学习互动,互动学习以行动为中心的强化学习学会互动,互动学习,以行动为中心的强化学习计算机科学博士论文于2021年9月28日在Villeneuve d'Asq公开支持马修·瑟林评审团主席法布里斯·勒菲弗尔阿维尼翁大学教授论文指导奥利维尔·皮耶昆谷歌研究教授:智囊团论文联合主任菲利普·普雷教授,大学。里尔/CRISTAL/因里亚报告员奥利维耶·西格德索邦大学报告员卢多维奇·德诺耶教授,Facebook /索邦大学审查员越南圣迈IMT Atlantic高级讲师邀请弗洛里安·斯特鲁布博士,Deepmind对于那些及时看到自己错误的人...3谢谢你首先,我要感谢我的两位博士生导师Olivier和Philippe。奥利维尔,"站在巨人的肩膀上"这句话对你来说完全有意义了。从科学上讲,你知道在这篇论文的(许多)错误中,你是我可以依
recommend-type

实现实时监控告警系统:Kafka与Grafana整合

![实现实时监控告警系统:Kafka与Grafana整合](https://imgconvert.csdnimg.cn/aHR0cHM6Ly9tbWJpei5xcGljLmNuL21tYml6X2pwZy9BVldpY3ladXVDbEZpY1pLWmw2bUVaWXFUcEdLT1VDdkxRSmQxZXB5R1lxaWNlUjA2c0hFek5Qc3FyRktudFF1VDMxQVl3QTRXV2lhSWFRMEFRc0I1cW1ZOGcvNjQw?x-oss-process=image/format,png) # 1.1 Kafka集群架构 Kafka集群由多个称为代理的服务器组成,这