Search Results - (((((((want OR wantsa) OR semantic) OR when) OR cantor) OR anne) OR blaney) OR hints) algorithms.

Frames and Harmonic Analysis. by Kim, Yeonhyang

Table of Contents: “…Examples; References; The Kaczmarz algorithm, row action methods, and statistical learning algorithms; 1. …”
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Human Behavior Analysis for Library and Information Science. by Greifender, Elke

Table of Contents: “…Covers; Editorial advisory board; Guest editorial; Developing a context-aware annotation system for Hakka culture-specific language learning; Is there any efficient reading strategy when using text signals for navigation in a long document?…”
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Computer and network security essentials

Table of Contents: “…SECURITY APPLICATIONS -- Chapter 25. Generic Semantics Specification and Processing for Inter-System Information Flow Tracking -- Chapter 26. …”
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Clinical Guide to Cardiology. by Camm, Christian Fielder

Table of Contents: “…Common diagnosis 2 -- Common diagnosis 3 -- Common diagnosis 4 -- Common diagnosis 5 -- Common diagnosis 6 -- Diagnosis to consider 1 -- Diagnosis to consider 2 -- 2.6 Key investigations -- Bedside -- Blood tests -- Imaging -- Special -- 2.7 When to call a senior -- Situations -- What should be completed by the time the senior arrives -- What should be arranged by the time the senior arrives -- Key clinical trials -- Key trial 2.1 -- Key trial 2.2 -- Key trial 2.3 -- Key trial 2.4 -- Guidelines -- 3 Shortness of Breath -- 3.1 Definition -- 3.2 Diagnostic algorithm -- 3.3 Differentials list…”
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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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Handbook on soft computing for video surveillance

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Predictive Analytics For Dummies. by Bari, Anasse

Table of Contents: “…Recognizing Your Data TypesStructured and unstructured data; Static and streamed data; Identifying Data Categories; Attitudinal data; Behavioral data; Demographic data; Generating Predictive Analytics; Data-driven analytics; User-driven analytics; Connecting to Related Disciplines; Statistics; Data mining; Machine learning; Chapter 4 Complexities of Data; Finding Value in Your Data; Delving into your data; Data validity; Data variety; Constantly Changing Data; Data velocity; High volume of data; Complexities in Searching Your Data; Keyword-based search; Semantic-based search.…”
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Practical data analysis by Cuesta, Hector

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The importance of health informatics in public health during a pandemic

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Introduction to graph and hypergraph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

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Digital wealth : an automatic way to invest successfully by Moore, Simon, 1978-

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Beyond artificial intelligence : from human consciousness to artificial consciousness by Cardon, Alain, 1946-

Table of Contents: “…The morphological and semantic conformation of the psychic system; 1.13. …”
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Computational phraseology

Table of Contents: “…Monocollocable words : a type of language combinatory periphery / František Čermák -- Translation asymmetries of multiword expressions in machine translation : an analysis of the TED-MWE corpus / Johanna Monti, Mihael Arcan and Federico Sangati -- German constructional phrasemes and their Russian counterparts : a corpus-based study / Dmitrij Dobrovol'skij -- Computational phraseology and translation studies : from theoretical hypotheses to practical tools / Jean-Pierre Colson -- Computational extraction of formulaic sequences from corpora : two case studies of a new extraction algorithm / Alexander Wahl and Stefan Th. Gries -- Computational phraseology discovery in corpora with the MWETOOLKIT / Carlos Ramisch -- Multiword expressions in comparable corpora / Peter Ďurčo -- Collecting collocations from general and specialised corpora : a comparative analysis / Marie-Claude L'Homme and Daphnée Azoulay -- What matters more : the size of the corpora or their quality? …”
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Discrete and continuous simulation : theory and practice by Bandyopadhyay, Susmita, Bhattacharya, Ranjan

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D Cookbook. by D. Ruppe, Adam

Table of Contents: “…Performing type conversionsFinding the largest files in a directory; Creating a network client and server; Using Base64 to create a data URI; Generating random numbers; Normalizing a string and performing Unicode comparisons; Searching with regular expressions; Writing a digest utility; Using std.zlib compression; Using the std.json module; Chapter 3: Ranges; Introduction; Using ranges when implementing an algorithm; Creating an input range; Creating an output range; Creating a higher-order range; Putting a range interface on a collection; Creating an input range over a tree structure…”
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Engineering Internet QoS by Jha, Sanjay

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Principles of data integration by Doan, AnHai

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Introduction to modern navigation systems by Bekir, Esmat

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Discrete choice experiments in marketing : use of priors in efficient choice designs and their application to individual preference measurement by Zwerina, Klaus, 1967-

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Indexing it all : the subject in the age of documentation, information, and data by Day, Ronald E., 1959-

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