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Star model and Snowflake model

I. Overview In the multidimensional analysis of business intelligence solutions, the common models can be divided into star model and snowflake model According to the relationship between fact table and dimension table. When designing a model of logical data, you should consider whether the data is organized according to the star

Discriminative model and generative model

Original Web site: http://blog.sciencenet.cn/home.php? Mod = space uid = 248173 do = blog id = 227964 【Abstract]-Generation model: Infinite sample = probability density model = generation model = Prediction-Discriminative model: Finite Sample = Discriminant Function = prediction

Big talk fat model and thin Model

Today, when the business is completed to a certain extent, I checked the code and suddenly found that the current code is a bit strange. It is strange that there are many files in my model. Each file corresponds to a table in the database, and there is almost no logic code in each model. For example: What is the reason? Because the rdb_model class implements Orm, I inherit this class to use the operation

Processing Model-Visual Model Skeleton Structure

Problem As discussed at the end of the 4-1 tutorial, a model usually contains many Members called modelmeshes. The Positional relationships between these modelmeshes are contained in the bone structure of the model object. The bone structure defines how and where modelmeshes interact, and how much each modelmesh rotates and/or scales relative to the parent modelmesh. Before moving a

OpenGL Learning Footprints: Model loading Preliminary-loading obj model (Load obj models)

Write in frontThe lighting basics, as well as the materials and lighting maps, and the types of light sources are described earlier, and we have a certain understanding of the use of lighting to enhance the realism of the scene. But so far, we've been drawing cubes with cube data that we've specified in our program, and it still looks boring. This section begins with the introduction of model loading, which enriches our scene and becomes fun by loadin

Scottgu's blog -- LINQ to SQL Part 2-defining data model classes -- LINQ to SQL (Part 2-defining our Data Model C

A more concise version will be published in the blog Hall (excluding the English version). I hope this article will help you! Allowed to reprint, trouble to indicate the source: http://www.cnblogs.com/hanxianlongOriginal article:Http://weblogs.asp.net/scottgu/archive/2007/05/29/linq-to-sql-part-2-defining-our-data-model-classes.aspx In Part 1 of my LINQ to SQL blog post series I discussed "What Is LINQ to SQL" and provided a basic overview of some of

MVC model binding and mvc model binding

MVC model binding and mvc model bindingMVC model binding In WebForm, the value of the submitted Form is generally obtained in the Form of Request. Form ["Title. The model binding mechanism is provided in MVC. It makes it easier to obtain parameters in a form or Url in the background.I. Basic

A simple example: anemia model or domain model

from: http://www.iteye.com/topic/283668 Recently, Taowen has launched two consecutive discussions on anemia models and field models, which has aroused extensive and heated discussion, but I think it is debatable what the outcome of the discussion (or controversy) is. The problem is that the anemia model and the domain model have their own views, if there is no consensus on this concept, then the outcome of

From the anemic domain model to the rich domain model

Transferred from: http://www.uml.org.cn/mxdx/200907132.asp In the current developer community, there is a widespread prevalence of an architectural pattern known as the anemic domain model by Martin Fowler. The model has been blamed for the criticism of the master. This model has a fatal flaw: it often behaves poorly in dealing with complex areas. There are many

Machine Learning-discriminative model and generative model

Label: style blog HTTP Io ar use for SP strong I. Introduction This document is based on Andrew Ng's machine learning course http://cs229.stanford.edu. In the previous supervised learning regression model, we used the training set to directly model the conditional probability P (Y | X; θ). For example, Logistic Regression uses hθ (X) = g (θ Tx) Modeling P (Y | X; θ) (where g (z) is the sigmoid functio

A Brief Introduction to the Snake Model Based on the Active Contour Model of image cutting (5)

A Brief Introduction to the Snake Model Based on the Active Contour Model of image cutting (5) [Email protected] Http://blog.csdn.net/zouxy09 In "image cutting (I) Overview", we have briefly understood the mainstream image cutting methods. Below we will mainly learn the energy functional-based cutting method. Here we will learn a simple knowledge of the Snake model

Linear model (3)--Multiple linear regression model

The simple linear regression model is described earlier, followed by the multiple linear regression model.Simple linear regression is a linear regression relationship between a dependent variable and an independent variable, whereas multiple linear regression refers to a linear regression relationship between a dependent variable and multiple independent variables. Compared with simple linear regression, multiple linear regression is more practical, b

Processing Model-Scaling Model

Problem When loading a model from a disk, it is often too large or too small. You want to scale the model to the defined size. Solution First, you need to define a global ball for the model. The previous tutorial has explained this. Now that you know the ball, you can know the current size of the model. From this dim

The TP frame---model model layer---Do the modeling object

The TP frame----Model Model layer---------------Do the modeling objectWhat is the model layer used to do????It is mainly used to do the operation of database access.It also shows that the TP framework comes with a way to access the database, using model models.How to use model

iOS Model Design---dictionary turn model

 iOS model designin IOS development, the term "model" is almost accompanied by the development career of every programmer. Before contacting the model, the small part in the development will often encounter logic confusion, unclear organization and so on. Next, the small series will lead you to learn about the important part of the MVC architecture --- Data

Current depth neural network model compression and acceleration Method Quick overview of current depth neural network model compression and acceleration method

than 95MB of storage requirements, and the floating-point multiplication times needed to compute each picture. If you prune some of the redundant weights, it will probably save 75% of the parameters and 50% of the calculation time. It is important to use these methods to compress models for devices such as handsets and FPGA, which have only megabytes of resources. Achieving this goal requires a combination of disciplines to find solutions, including but not limited to machine learning, optimiza

Processing Model -- extended model content importer loads custom Effects

Problem You want to use a custom content processor to change the model's effect rather than real-time processing. In this way, the model can be correctly loaded into the xNa project without the need to save all textures and other information in the original effect in real time. Note:If you want to learn how to extend the default model processor, you 'd better take a look at the next tutorial. Solution E

YII dynamic model (dynamic table name) supports analysis, yii model _ PHP Tutorial

The YII dynamic model (dynamic table name) supports analysis and the yii model. YII dynamic model (dynamic table name) supports analysis. This article analyzes the yii dynamic model (dynamic table name) support mechanism. For your reference, see: add dynamic YII model (dynam

Model Evaluation and Model Selection for Machine Learning (learning notes)

Time: 2014.06.26 Location: Base Bytes --------------------------------------------------------------------------------------I. Training error and test error The purpose of machine learning or statistical learning is to make the learned model better able to predict not only known data but also unknown data. Different learning methods produce different models. When judging whether a learning method is good or bad, it is commonly used as follows: 1. Trai

ASP. MVC4 Advanced Programming Learning Notes-model learning lesson four scaffolding and model binding 20171027

MVC model One, build scaffolding.Scaffolding in MVC can provide the application with the boilerplate code needed to generate the curd various functions. When adding a controller, you can select the appropriate template and the entity object to generate the corresponding template code.First define a model class as follows:namespaceLYG. helloworld.models{ Public classAlbum { Public Virtual intalbumID {Get;Set

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