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" The beauty of mathematics in computer science / "


Document Type : BL
Record Number : 841166
Main Entry : Wu, Jun,1967-
Title & Author : The beauty of mathematics in computer science /\ Jun Wu ; translated from the Chinese edition by Rachel Wu and Yuxi Candice Wang.
Publication Statement : Boca Raton, FL :: CRC Press, Taylor Francis Group,, [2019]
: , ©2019
Page. NO : xv, 268 pages ;; 25 cm
ISBN : 1138049603
: : 1138049670
: : 9781138049604
: : 9781138049673
Bibliographies/Indexes : Includes bibliographical references and index.
Contents : Words and languages, numbers and information : Information ; Words and numbers ; The mathematics behind language -- Natural language processing: from rules to statistics : Machine intelligence ; From rules to statistics -- Statistical language model : Describing language through mathematics ; Implementation caveats : Higher order language models; Training methods, zero-probability problems, and smoothing; Corpus selection -- Word segmentation : Evolution of Chinese word segmentation ; Evaluating results : Consistency; Granularity -- Hidden Markov model : Communication models ; Hidden Markov model ; HMM training -- Quantifying information : Information entropy ; Role of information ; Mutual information ; Relative entropy -- Jelinek and modern language processing : Early life ; From Watergate to Monica Lewinsky ; An old man's miracle -- Boolean algebra and search engines : Boolean algebra ; Indexing -- Graph theory and web crawlers : Graph theory ; Web crawlers ; Two topics in graph theory : Euler's proof of the Königsberg bridges; The engineering of a web crawler -- PageRank: Google's democratic ranking technology : The PageRank algorithm ; PageRank calculations -- Relevance in web search : TF-IDF ; TF-IDF and information theory -- Finite state machines and dynamic programming: navigation in Google maps : Address analysis and finite state machines ; Global navigation and dynamic programming ; Finite state transducer -- Google's AK-47 designer, Dr. Amit Singhal -- Cosines and news classification : Feature vectors for news ; Vector distance ; The art of computing cosines : Cosines in big data ; Positional weighting -- Solving classification problems in text processing with matrices : Matrices of words and texts ; Singular value decomposition method and application -- Information fingerprinting and its application : Information fingerprint ; APplications for information fingerprint: Determining identical sets; Detecting similar sets; YouTube's anti-piracy ; Information fingerprint's repeatability and SimHash : Probability of repeated information fingerprint ; SimHash -- Thoughts inspired by the Chinese TV series Plot: the mathematical principles of cryptography : The spontaneous era of cryptography ; Cryptography in the information age -- Not all that glitters is gold: search engine's anti-SPAM problem and search result authoritativeness question : Search engine anti-SPAM ; Authoritativeness of search results -- Discussion on the importance of mathematical models -- Don't put all your eggs in one basket: the principle of maximum entropy : Principle of maximum entropy and maximum entropy model ; Maximum entropy model training -- Mathematical principles of Chinese input method editors : Input method and coding ; How many keystrokes to type a Chinese character?: Discussion on Shannon's First Theorem ; The algorithm of phonetic transcription ; Personalized language models -- Bloom filters : The principles of Bloom filters ; The false alarm problem of Bloom filters -- Bayesian network: extension of Markov chain : Bayesian network ; Bayesian network application in word classification ; Training a Bayesian network -- Conditional random fields, syntactic parsing, and more : Syntactic parsing: the evolution of computer algorithms ; Conditional random fields ; Conditional random field applications in other fields -- Andrew Viterbi and the Viterbi algorithm : The Viterbi algorithm ; CDMA technology: the foundation of 3G mobile communication -- God's algorithm: the expectation maximization algorithm : Self-converged document classification ; Convergence of expectation-maximization algorithms -- Logistic regression and web search advertisement : The evaluation of web search advertisement ; The logistic model -- Google Brain and artificial neural networks : Artificial neural network ; Training an artificial neural network ; The relationship between artificial neural networks and Bayesian networks ; "Google Brain" -- The power of big data : The importance of data ; Statistics and information technology ; Why we need big data.
Abstract : "A series of essays introducing the applications of machine learning and statistics in natural language processing, speech recognition and web search for non-technical readers"--
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