Search Results - (((((((ant OR wanning) OR semantic) OR mind) OR cantor) OR anne) OR planet) OR hints) algorithms.

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  1. 41

    Automating open source intelligence : algorithms for OSINT

    Published 2016
    Table of Contents: “…Cover; Title Page ; Copyright Page; Contents; List of Contributors; Chapter 1 -- The Automating of Open Source Intelligence; The Commercial Angle; Algorithms; References; Chapter 2 -- Named Entity Resolution in Social Media; Introduction; Evaluating Semantic Processing Performance; Characterizing Semantic Processing Errors; Meaning Loss in Biblical Proverbs: A Case Study; Models for Improving Semantic Processing Performance; Discussion; References; Chapter 3 -- Relative Cyberattack Attribution; Introduction; Basic Attack Structure; Anonymization on the Internet; Weaknesses in Anonymization.…”
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    Turing's vision : the birth of computer science by Bernhardt, Chris

    Published 2016
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  4. 44

    Adventures in Raspberry Pi by Philbin, Carrie Anne

    Published 2017
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  5. 45

    Language production and interpretation : linguistics meets cognition by Zeevat, Henk, 1952-

    Published 2014
    Table of Contents: “…Provisional English; 2.3. The Production Algorithm; 2.3.1. Procedural Interpretation of the Constraints; 2.4. …”
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    Machine learning for protein subcellular localization prediction by Wan, Shibiao, Mak, M. W.

    Published 2015
    Table of Contents: “…5.2.2 Problem transformation methods -- 5.2.3 Multi-label classification in bioinformatics -- 5.3 mGOASVM: A predictor for both single- and multi-location proteins -- 5.3.1 Feature extraction -- 5.3.2 Multi-label multiclass SVM classification -- 5.4 AD-SVM: An adaptive decision multi-label predictor -- 5.4.1 Multi-label SVM scoring -- 5.4.2 Adaptive decision for SVM (AD-SVM) -- 5.4.3 Analysis of AD-SVM -- 5.5 mPLR-Loc: A multi-label predictor based on penalized logistic regression -- 5.5.1 Single-label penalized logistic regression -- 5.5.2 Multi-label penalized logistic regression -- 5.5.3 Adaptive decision for LR (mPLR-Loc) -- 5.6 Summary -- 6 Mining deeper on GO for protein subcellular localization -- 6.1 Related work -- 6.2 SS-Loc: Using semantic similarity over GO -- 6.2.1 Semantic similarity measures -- 6.2.2 SS vector construction -- 6.3 HybridGO-Loc: Hybridizing GO frequency and semantic similarity features -- 6.3.1 Hybridization of two GO features -- 6.3.2 Multi-label multiclass SVM classification -- 6.4 Summary -- 7 Ensemble random projection for large-scale predictions -- 7.1 Random projection -- 7.2 RP-SVM: A multi-label classifier with ensemble random projection -- 7.2.1 Ensemble multi-label classifier -- 7.2.2 Multi-label classification -- 7.3 R3P-Loc: A compact predictor based on ridge regression and ensemble random projection -- 7.3.1 Limitation of using current databases -- 7.3.2 Creating compact databases -- 7.3.3 Single-label ridge regression -- 7.3.4 Multi-label ridge regression -- 7.4 Summary -- 8 Experimental setup -- 8.1 Prediction of single-label proteins -- 8.1.1 Datasets construction -- 8.1.2 Performance metrics -- 8.2 Prediction of multi-label proteins -- 8.2.1 Dataset construction -- 8.2.2 Datasets analysis -- 8.2.3 Performance metrics -- 8.3 Statistical evaluation methods -- 8.4 Summary.…”
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  9. 49

    Zero : a landmark discovery, the dreadful void, and the ultimate mind by Sen, S. K. (Syamal Kumar), 1942-, Agarwal, Ravi P.

    Published 2015
    Table of Contents: “…2 Zero a landmark discovery, the dreadful void, and the ultimate mind: Why; 2.1 A landmark discovery; 2.2 The dreadful void!…”
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    Diversities in quantum computation and quantum information

    Published 2013
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    Inside jokes : using humor to reverse-engineer the mind by Hurley, Matthew M., 1977-

    Published 2011
    Table of Contents: “…-- Emotions -- The rationality of emotions -- The irrationality of emotions -- Emotional algorithms -- A few implications.…”
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