El documento resume los principales eventos de la Restauración y el surgimiento del liberalismo y nacionalismo en Europa después de las guerras napoleónicas. La Santa Alianza buscó restaurar el Antiguo Régimen y sofocar las revoluciones liberales, pero tuvo menos éxito en la década de 1830. El liberalismo defendió mayores libertades individuales e igualdad ante la ley. El nacionalismo llevó a la unificación de Italia bajo Víctor Manuel II y de Alemania bajo el liderazgo de Prusia, aunque el pro
The document discusses digital monies and payment systems. It outlines the key functions of money as payment, a measure of value, and a store of value. It then examines several past and present digital currency systems like DigiCash, WebMoney, and Bitcoin, noting their emphases on issues like untraceability, transaction finality, and guaranteed scarcity. It proposes a future system called ePoint that aims to address technical challenges like double spending, economic challenges around acceptance, and legal challenges to state monopoly of currency.
This document contains a summary of a report presented at a conference on mobile technologies, business, and prospects. The summary is divided into five sections:
1. An introduction to mobile learning (M-learning), which involves the use of mobile devices for educational purposes.
2. Sections 2-4 discuss additional aspects of M-learning.
3. Section 5 draws conclusions about M-learning.
El documento resume los principales eventos de la Restauración y el surgimiento del liberalismo y nacionalismo en Europa después de las guerras napoleónicas. La Santa Alianza buscó restaurar el Antiguo Régimen y sofocar las revoluciones liberales, pero tuvo menos éxito en la década de 1830. El liberalismo defendió mayores libertades individuales e igualdad ante la ley. El nacionalismo llevó a la unificación de Italia bajo Víctor Manuel II y de Alemania bajo el liderazgo de Prusia, aunque el pro
The document discusses digital monies and payment systems. It outlines the key functions of money as payment, a measure of value, and a store of value. It then examines several past and present digital currency systems like DigiCash, WebMoney, and Bitcoin, noting their emphases on issues like untraceability, transaction finality, and guaranteed scarcity. It proposes a future system called ePoint that aims to address technical challenges like double spending, economic challenges around acceptance, and legal challenges to state monopoly of currency.
This document contains a summary of a report presented at a conference on mobile technologies, business, and prospects. The summary is divided into five sections:
1. An introduction to mobile learning (M-learning), which involves the use of mobile devices for educational purposes.
2. Sections 2-4 discuss additional aspects of M-learning.
3. Section 5 draws conclusions about M-learning.
Website Architect Proposal of Lingpao Total Fitness GymHuiqin Gao
Koh\'s is a professional workshop of web promotion. This is the proposal of a website architect case of a local gym. We are uploading this to ask for comments, and we\'d appreciate it if you tell us how you see this proposal, please contact: gaohuiqin@foxmail.com, many thanks!!
Wrapper induction construct wrappers automatically to extract information f...George Ang
Wrapper induction is a technique to automatically generate wrappers to extract information from web sources. It involves learning extraction rules from labeled examples to construct a wrapper as a finite state machine or set of delimiters. Two main wrapper induction systems are WIEN, which defines wrapper classes including LR, and STALKER, which uses a more expressive model with extraction rules and landmarks to handle structure hierarchically. Remaining challenges include selecting informative examples, generating label pages automatically, and developing more expressive models.
This document summarizes a tutorial given by Bing Liu on opinion mining and summarization. The tutorial covered several key topics in opinion mining including sentiment classification at the document and sentence level, feature-based opinion mining and summarization, comparative sentence extraction, and opinion spam detection. The tutorial provided an overview of the field of opinion mining and abstraction as well as summaries of various approaches to tasks such as sentiment classification using machine learning methods and feature scoring.
Website Architect Proposal of Lingpao Total Fitness GymHuiqin Gao
Koh\'s is a professional workshop of web promotion. This is the proposal of a website architect case of a local gym. We are uploading this to ask for comments, and we\'d appreciate it if you tell us how you see this proposal, please contact: gaohuiqin@foxmail.com, many thanks!!
Wrapper induction construct wrappers automatically to extract information f...George Ang
Wrapper induction is a technique to automatically generate wrappers to extract information from web sources. It involves learning extraction rules from labeled examples to construct a wrapper as a finite state machine or set of delimiters. Two main wrapper induction systems are WIEN, which defines wrapper classes including LR, and STALKER, which uses a more expressive model with extraction rules and landmarks to handle structure hierarchically. Remaining challenges include selecting informative examples, generating label pages automatically, and developing more expressive models.
This document summarizes a tutorial given by Bing Liu on opinion mining and summarization. The tutorial covered several key topics in opinion mining including sentiment classification at the document and sentence level, feature-based opinion mining and summarization, comparative sentence extraction, and opinion spam detection. The tutorial provided an overview of the field of opinion mining and abstraction as well as summaries of various approaches to tasks such as sentiment classification using machine learning methods and feature scoring.
The document provides an overview of Huffman coding, a lossless data compression algorithm. It begins with a simple example to illustrate the basic idea of assigning shorter codes to more frequent symbols. It then defines key terms like entropy and describes the Huffman coding algorithm, which constructs an optimal prefix code from the frequency of symbols in the data. The document discusses how the algorithm works, its advantages in achieving compression close to the source entropy, and some limitations. It also covers applications of Huffman coding like image compression.
Do not crawl in the dust different ur ls similar textGeorge Ang
The document describes the DustBuster algorithm for discovering DUST rules - rules that transform one URL into another URL that contains similar content. The algorithm takes as input a list of URLs from a website and finds valid DUST rules without requiring any page fetches. It detects likely DUST rules based on a large support principle and small buckets principle. It then eliminates redundant rules and validates the remaining rules using a sample of URLs to identify rules that transform URLs with similar content. Experimental results on logs from two websites show that DustBuster is able to discover DUST rules that can help improve crawling efficiency.
The document discusses techniques for optimizing front-end web performance. It provides examples of how much time is spent loading different parts of top websites, both with empty caches and full caches. The "performance golden rule" is that 80-90% of end-user response time is spent on the front-end. The document also outlines Yahoo's 14 rules for performance optimization, which include making fewer HTTP requests, using content delivery networks, adding Expires headers, gzipping components, script and CSS placement, and more.