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Http://www.cnblogs.com/hellogiser/p/random-generator-with-equal-or-unequal-probability.html1. equi probability generation (1) rand5 generate rand3
There is now a Rand5 function that can generate random integers in the range of [0, 5) with equal probability. This function is required to write a Rand3 function (In addition, can no longer use any function or data source that can generate
For God, everything is definite, so probability, as a learning existence, exactly proves human ignorance. Fortunately, humans are still smart enough. We are not at risk because things are random. We decide our actions based on the possibility of things. For example, before a person grabs a bank, he must have repeatedly considered various possibilities. If people wait until everything is confirmed, you may not be able to do anything, because almost eve
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http://m.blog.csdn.net/article/details?id=49130173
first, transcendental probability, posterior probability, Bayesian formula, likelihood function
In machine learning, these concepts are always involved, but never really understand the connection between them. Here's a good idea to start with the basics, Memo. 1. Prior probability
A priori
For many people, these concepts are clear and vague. The following is a vivid illustration.
For God, everything is definite, so probability, as a learning existence, exactly proves human ignorance. Fortunately, humans are still smart enough. We are not at risk because things are random. We decide our actions based on the possibility of things. For example, before a person grabs a bank, he must have repeatedly considered various possibilities. If peopl
Textbook Page 44:3-9, no redundancy of the source can also be compressed? Why? Answer: No lossless compression, can be lossy compression.3-10, not related to the source can also be compressed? Why?Answer: At least can be lossy compression, if there is redundancy (the source of non-equal probability distribution) can also lossless compression.3-12, equal probability
Basic concepts of probability theory two basic laws in probability theory of discrete variables: addition and multiplication, the addition rule defines the direct relation between the random variable x and the condition variable Y. The multiplication rule defines the most important conditional probabilities in probability, which can also be called joint probabili
Note: This article only records chapter concepts and is used to recall knowledge systems. Reference book "Probability Theory and Mathematical Statistics Fourth Edition".Chapter One basic concept of probability theory random test (with three characteristics) sample space, random event sample space sample point random Event (event) event occurrence basic event inevitable event impossibility event (∅) event re
Original: http://www.cnblogs.com/kangjianwei101/p/5221816.htmlData structure-C language edition (Min, 聯繫 version) textbook source + problem sets analysis using instructionsEnclose the document collation directory first:Textbook Source CompilationLink ??? "Data structure" textbook source code compilationProblem sets full parse link??? analysis of the problem of the data structure problems in the compilation★
Lesson 1 Spring
Ice and Snow melted seeds sprout fruit trees blossom
We came to the river, to the field, to the mountain. We found spring
1980s primary school textbook Review
Lesson 2 peach blossom apple blossom
Many fruit trees are planted in our village. It's spring, the trees are all flowers, and our village is a garden. In the fall, the tree filled with fruit, and our village became an orchard.
1980s primary school
Seventh Chapter parameter estimation
Content Summary:
One, point estimate
1, set for the overall sample, the overall distribution function is known as the parameters to be evaluated for the corresponding sample observations. The problem of point estimation is to construct an appropriate statistic and estimate the value of the parameters to be evaluated with its observations. Here is called the estimate, called the estimated value, both of which are collectively estimated. This is called the poin
The following list does not contain errors in the Chinese publishing format, and contains only errors in the mathematical dimension and irregularities in the narrative or discourse. Please note that this errata is not updated regularly. Welcome you to the Fudan University "Advanced Generation of Mathematics (third edition)" Textbook Error and improper place to correct!
43rd page, Exercise 1: $a _{1n}a_{2,n-1}a_{3,n-2}\cdots a_{n1}$.
The 198th
work involved will have different requirements. But for the majority of programmers engaged in MIS software development, this knowledge is enough. Mastering this knowledge can have two levels of requirements. The first one is to complete enough exercises to be proficient in the answer, and the second is to be able to use the data structure to describe the actual things in the actual work. To achieve these two requirements should be said not too high, pay attention to more practice on it. At pre
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