Tag：weight
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R language finite mixed model clustering FMM, generalized linear regression model GLM mixed application analysis whisky market and research patent applications, expenditure data
Original link:http://tecdat.cn/?p=24742 abstract Finite mixture model is a popular method to model or approximate general distribution function of unobserved heterogeneity. They are used in many different fields, such as astronomy, biology, medicine or marketing. This paper gives an overview of these models and many application examples. introduce Finite mixture model is a popular method to […]
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Repvgg:vgg, eternal God| CVPR 2021
Repvgg independently designs the structure of training reasoning network, uses high-precision multi branch network to learn weights during training, uses low delay single branch network during reasoning, and then transfers the weights of multi branch network to single branch network through structural re parameterization. The performance of repvgg has reached SOTA, and the idea is […]
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Use less or sass’ each to generate style classes, Pt MD, MB XS
<div class=”pa-xs mt-md” /> Adding styles in this way is easy to modify, maintain, and adjust uniformly, without the high weight of inter line styles Less version @spaceingType: { m: margin; p: padding; }; @spaceingDirections: { t: top; r: right; b: bottom; l: left; }; @spaceingBaseSize: 16px; @spaceingSizes: { no: 0; xs: 0.5; sm: 1; […]
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C# create BDD test cases with specflow
Converting test cases written in natural language into executable tests can greatly reduce the communication cost between requirements and development, which is the effect BDD (behavior driven development) hopes to achieve. Specflow yes Net platform can help us create BDD oriented test cases. First, install the specflow plug-in in Visual Studio 2022. Select menu extensions […]
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Nfnet: extension of NF RESNET without BN 4096 super batch size training | 21 year paper
The paper believes that batch normalization is not a necessary structure of the network, but will bring many problems, so it began to study the normalizer free network, hoping to have considerable performance and support large-scale training. This paper proposes an ACG gradient clipping method to assist training, which can effectively prevent gradient explosion. In […]
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Visual analysis of R language in BRFSS data to explore the influencing factors of diabetes
Original link:http://tecdat.cn/?p=9227 Original source:Tuoduan data tribe official account Dataset:Behavioral risk factor monitoring system data Summary:The data set is about 400000 questionnaires on health-related topics from the United States. BRFSS began in the 1980s and has been used to monitor common diseases in the United States through questionnaires. The study is retrospective rather than a design […]
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Relationnet: learn the relationship between objectives to enhance features and remove NMS | CVPR 2018
Based on the attention mechanism of NLP, this paper proposes a target relationship module, which can enhance the characteristics of the current target by comparing with other targets, and can also replace NMS to remove end-to-end repeated results. The idea is very novel and the effect is good Source: Xiaofei’s algorithm Engineering Notes official account […]
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Practice of dynamic load balancing based on open source tars
1、 Background Some businesses in vivo Internet field chose tars microservice framework based on many comprehensive factors in the practice of microservices. The official description is that tars is a microservice framework that supports multiple languages, has embedded service governance functions, and works well with Devops. On the basis of open source, we have done […]
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Understanding of unity hdrp bentnormal
1. I learned from surfing the Internet that bentnormal can solve the problems of indirect ambient highlight leakage and indirect diffuse illumination leakage. The light leakage here refers to the light leakage caused by the occlusion relationship of the model itself is not taken into account in the intermittent lighting part. 2. you can […]
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Load balancing algorithm implemented in Java — polling and weighted polling
1. general polling algorithm Round robin (RR) allocates the user’s access requests to the web service nodes in a circular order, starting from 1 to the end of the last server node, and then starts a new round of the cycle. This algorithm is simple, but does not take into account the specific performance of […]
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Java implementation of smooth weighted polling algorithm — weight reduction and weight increase
In the previous article, we talked about the two implementation methods of ordinary polling and weighted polling, focusing on the smooth weighted polling algorithm, and left some suspense at the end of the article:Reduce the effective weight value when the node fails to allocate; Increase the effective weight value on success (but not greater than […]
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Machine learning algorithm series (V) – lasso regression algorithm
Background knowledge points required for reading this article: linear regression algorithm and yidudui programming knowledge 1、 Introduction in the previous section, we learned that one method to solve multicollinearity is to regularize the cost function. One regularization algorithm is called ridge regression algorithm. Let’s learn another regularization algorithm-Lasso regression algorithm)1(lasso regression algorithm), the full […]