theory of cookery

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Echo Cancellation-Theory Chapter

First, prefaceto understand echo cancellation technology, we have to mention the theory of digital signal processing as the theoretical basis of modern communication technology. First of all, there is an important branch of the digital signal processing theory, called adaptive Signal Processing, and in the classical textbook, the echo elimination problem has always been discussed as a classical adaptive sig

Advanced theory of Distributed systems-Paxos

IntroductionThe theory foundation of distributed systems-conformance, 2PC and 3PC describes the issues of consistency, the need to reach a consensus, and the 2PC, 3PC model, where the Paxos protocol guarantees consistent resolution in the scenario of node downtime recovery, message sprawl or loss, and network differentiation. Is the most widely discussed consistency agreement.Paxos agreement at the same time with its "obscures" known, the following co

pat-B-1015. The moral Theory (25)

1015. Morality theory (25) time limit MS Memory limit 65536 KB code length limit 8000 B procedure StandardAuthor Chen, LiThe Song Dynasty historian Sima Guang in "the Capital Governance Tong Jian" has a famous "The Moral Only Theory": "is therefore only then the virtuous all says the sage, only then the German and the death is the Fool, the German wins only then is said the gentleman, only then wins the mor

Hdu-1098-ignatius ' s Puzzle (number theory-Fermat theorem)

Ignatius ' s puzzleTime limit:2000/1000 MS (java/others) Memory limit:65536/32768 K (java/others)Total submission (s): 7012 Accepted Submission (s): 4847Problem Descriptionignatius is poor at Math,he falls across a puzzle problem,so he have no choice but to appeal to Eddy. This problem describes that:f (x) =5*x^13+13*x^5+k*a*x,input a nonegative integer k (kNo exists that a,then print "no".Inputthe input contains several test cases. Each test case consists of a nonegative an integer k, more de

Reading Notes for statistical learning theory

Let's continue the discussion of reading Vapnik ' s book Statistical Learning theory. In the very beginning of the book, Vapnik first described and the fundamental approaches in pattern recognition:the Parametri C Estimation approach and the non-parametric estimation approach. Before introducing the non-parametric approach, which the support vector machine belongs to, Vapnik first address the Foll Owing three beliefs that the philosophy of parametric

Reading order of the 10,000-hour genius theory

The theory of home. Believe that a lot of people first feel that this statement is very reliable, as to how the reliable, I think most people may simply think: Diligence + hard + insist = expert, so simple?Discovering the 10,000-hour genius theory in the Kindle's discount book, the first idea is to buy it to see if the 10,000 hours are as simple as the previous one.After reading. The discovery is actually n

Stanford CS229 Machine Learning course Note six: Learning theory, model selection and regularization

Anyone who knows a little bit about supervised machine learning will know that we first train the training model, then test the model effect on the test set, and finally deploy the algorithm on the unknown data set. However, our goal is to hope that the algorithm has a good classification effect on the unknown data set (that is, the lowest generalization error), why the model with the least training error will also be effective in controlling the generalization error? This section of the study o

The model and theory development of Gan-depth learning

In the past year or two, the emerging generation model generative adversarial Networks (GAN) has made a big progress in generating tasks. Although there are many problems such as the instability of GAN in the course of being presented, the researchers have improved it from the aspects of model, training technique and theory respectively. This article aims to comb these related work. Although most of the time, supervised learning is more effective than

"The beauty of Mathematics", the 9th chapter of graph theory and web crawler

1 graph theory The origins of graph theory can be traced back to the era in which the great mathematician Euler was located. The graphs in graph theory are composed of some nodes and the arcs that connect these nodes. Breadth-First search (Breadth-first search, BFS) Depth-First search (Depth-first search, referred to as DFS) 2 web crawler In a web crawler, peopl

Exploring the microcosm of icon design: from the semiotic theory

Article Description: an analysis of the microscopic world of icons--from the semiotic theory. Since the concept of graphical user interface was born in 1970, the first WIMP demo, the computer user interface from character development to the graphics age. After less than half a century of rapid development, with the attention of the Apple system and the popular beneficiaries of the Microsoft Windows system, the graphical user interface prese

Theory of Access

author thought of the inspiration to speak. Black holes attract things from outside and accumulate more and more, and do not excrete things to the outside world. The black hole is not getting bigger. As time goes by. Sooner or later, the black Hole eats the universe. Is that possible? Only eat not to poop behavior. I do not agree, there must be some problems. not been found. In the time of the scrutiny, there is now the emergence of "theory of Access

The negation of the long tail theory

1906an economist in Italy calledPareto, when he studied the distribution of national wealth in Italy, he found20%of the national mastered the80%of wealth. This is a depressing reality, and it is even more frustrating that this serious inequality exists not only in Italy, but also when he studies the distribution of wealth in other countries, and finds that similar situations abound. to the1941American Management ScienceJuranThis is full of tragic color phenomenon, do a comedy-style extension. He

Machine learning four--a classification method based on probability theory: Naive Bayes

Probability-based classification method: Naive BayesianBayesian decision theoryNaive Bayes is part of the Bayesian decision theory, so let's take a quick and easy look at Bayesian decision theory before we talk about naive Bayes.The core idea of Bayesian decision-making theory : Choose the decision with the highest probability. For example, we graduate to choose

Extension of Barrel Theory

The original barrel theory is like this. " Barrel PrincipleAlso knownShort Board Theory,Theory of barrel short board managementThe so-called "Barrel Theory" is also the "barrel law". Its core content is: the amount of water in a bucket does not depend on the highest block on the bucket wall, it depends on the shortes

Rise of power in dispatch report-an MBA theory of Network Management

this force, you can or may produce a specific expected situation and result. Human Resources Theory In the morning, the Internet cafe business was cool. A few non-mainstream computers were hitting the keyboard with dark circles, and a network administrator was playing wow, I opened the card and sat down next to him.Since AFK has been working for a long time, its equipment remains on the BT layer of haishan, and there are very few S Series devices. Th

Several important concepts in Information Theory

Information Theory It is an application mathematical discipline that uses probability theory and mathematical statistics to study information, information entropy, communication systems, data transmission, cryptography, data compression, and other issues [from Wikipedia]. The main concepts in information theory include entropy, conditional entropy, KL-divergence,

Rough Set Theory

Rough Set TheoryIn the face of increasing databases, how can people find useful knowledge from these vast data? How can we refine what we have learned? What is a rough line description of a thing? What is a thin line description? Rough set theory answers the above questions. To understand the idea of rough set theory, we must first understand what is knowledge? Assume that eight blocks constitute a set, a

Summary of probability theory knowledge in Machine Learning

I. Introduction Recently I have written many learning notes about machine learning, which often involves the knowledge of probability theory. Here I will summarize and review all the knowledge about probability theory for your convenience and share it with many bloggers, I hope that with the help of this blog post, you will be more comfortable reading machine learning documents! Here, I will only make a sum

JavaScript design pattern Theory and Combat: Factory method mode

Starting from the shortcomings of the simple factory model, this paper introduces the factory method model, introduces the basic knowledge of the factory method pattern, realizes the main points and the application scenario, and finally illustrates the application of the factory method pattern.In the previous "JavaScript Design model Theory and Practice: Simple Factory Model", we introduced the knowledge of simple factories and some applications. The

Basic tutorial 2: Relational Database Design Theory

This section describes the theory of Relational Database Design Based on relational algebra. Function dependency is the basic part, and various paradigms are introduced in the constraints of Pattern Design and their coping problems. 3.1 function dependency The relationship design theory allows people to test and improve a design based on a few simple principles. The design

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