Главная    Ex Libris    Книги    Журналы    Статьи    Серии    Каталог    Wanted    Загрузка    ХудЛит    Справка    Поиск по индексам    Поиск    Форум   
blank
Авторизация

       
blank
Поиск по указателям

blank
blank
blank
Красота
blank
Marmanis H., Babenko D. — Algorithms of the intelligent web
Marmanis H., Babenko D. — Algorithms of the intelligent web



Обсудите книгу на научном форуме



Нашли опечатку?
Выделите ее мышкой и нажмите Ctrl+Enter


Название: Algorithms of the intelligent web

Авторы: Marmanis H., Babenko D.

Аннотация:

Modern web application hype revolves around a rich UI experience. A lesser-known aspect of modern applications is the use of techniques that enable the intelligent processing of information and add value that can't be delivered by other means. Examples of success stories based on these techniques abound, and include household names such as Google, Netflix, and Amazon. This book describes how to build the algorithms that form the core of intelligence in these applications.
The book covers five important categories of algorithms: search, recommendations, groupings, classification, and the combination of classifiers. A separate book could be written on each of these topics, and clearly exhaustive coverage isn't a goal of this book. This book is an introduction to the fundamentals of these five topics. It's an attempt to present the basic algorithms of intelligent applications rather than an attempt to cover completely all algorithms of computational intelligence. The book is written for the widest audience possible and relies on a minimum of prerequisite knowledge.


Язык: en

Рубрика: Computer science/

Серия: Сделано в холле

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2009

Количество страниц: 345

Добавлена в каталог: 16.05.2011

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
blank
Предметный указатель
Tokenizing, acronyms      31
Tokenizing, alphanumerics      31
Tokenizing, Chinese, Japanese and Korean      31
Tokenizing, computer host names      31
Tokenizing, email addresses      31
tokenizing, text      30
Top N frequent terms      178
Top stories      280
Top-level labels      6
TopicalNewsClusterBuilder      307 316
Training, bootstrap      222
Training, leave-one-out      222
Training-txns.txt      204
Training-users.txt      243
TrainingSet      48 50 176 178 297
trainOnAttribute      183
TransactionDataset      204
TransactionlnstanceBuilder      210 213
TransactionNN      204 208 210—211 213—214 229
Transactions, identify fraudulent      204
Transactions, legitimate      204
Transition probability matrices      35
Transparent learning, algorithms      16
Trap, black box      205
Triangle of intelligence      5
Triangulation effect      101
Type I error      220
Type II error      220
UIMA      328
Uncorrelated items      111
Underfitting      227
Unsolicited bulk email      see “Spam”
Unstable classifiers      258
Unsupervised learning      128
Url field      27
UseCaseData      258
UseCaseData, createUserTypes      241
User      71
User click analysis      33
User clicks      287
User clicks, news portal      312
User similarity, reliability      97
User-clicks.csv      46 313
User-content similarities      103
User-item similarities, content-based      97
User-item-content similarity      103
UserBasedSimilarity      82
UserClick      48
UserContentBasedSimilarity      93
UserCreditNN      248—249 274
UserlnstanceBuilder      245 261
users      308
UserStatistics      204
UserType, addNoiseLevel      242
Utility problem      225
Vassilvitskii, Sergei      145
Vector, personalization      67
Vectors      323
Very Large Database      see “VLDB”
VeryGoodUserType      239
Viadeo      9
Visual pattern recognition      151
Visualization      243
VLDB      131
Voice recognition      9
WaveCluster      130
Wavelet clustering      130
Web crawler, categories      320
Web crawler, components      319
Web crawler, custom      66
Web crawling      13 319
Web services, providers      15
Web, semantic interpretation      14
Websites, inference      2
Websites, learning capacity      2
Websites, syndication      13
WhitespaceAnalyzer      31
who      166
Wiki, defined      9
Wikipedia      9
World News      284
WS-Addressing      15
WS-I Basic Profile      15
WS-Policy      15
WS-RM      15
WS-Security      15
Xerox, Palo Alto Research Center      80
XForms      1
Xignite, financial web services      15
XING      9
XML      14 30 283
XML Path Language      see “XPath”
XML User Interface Language      see “XUL”
XOR gate      213
XORNetwork      213
XPath      1
XSL transformations      see “XSLT”
XSLT      1
XUL      1
Yahoo!, RSS feeds      14
YouTube, media sharing      9
z statistic      254—255
1 2 3 4 5 6
blank
Реклама
blank
blank
HR
@Mail.ru
       © Электронная библиотека попечительского совета мехмата МГУ, 2004-2024
Электронная библиотека мехмата МГУ | Valid HTML 4.01! | Valid CSS! О проекте