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

An Investigation into Authentication Security of GSM algorithm for Mobile Banking. by Raheem, Ali

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Entity information life cycle for big data : master data management and information integration by Talburt, John R., Zhou, Yinle, 1986-

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Freudian unconscious and cognitive neuroscience : from unconscious fantasies to neural algorithms by Talvitie, Vesa

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Naming and reference : the link of word to object by Nelson, R. J. (Raymond John), 1917-

Table of Contents: “…Nativism and causal reference -- CHAPTER 9 Mechanism -- 1. Top-down semantics -- 2. Up from reference -- 3. Algorithms: free and embodied -- 4. …”
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What to Do When Machines Do Everything : Five Ways Your Business Can Thrive in an Economy of Bots, AI, and Data. by Frank, Malcolm

Table of Contents: “…What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data; Contents; Preface; 1: When Machines Do Everything; Like It or Not, This Is Happening; Digital That Matters; Playing the New Game; But Will I Be Automated Away?…”
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Automating open source intelligence : algorithms for OSINT

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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A guide to creating a successful algorithmic trading strategy by Kaufman, Perry J.

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Bayesian phylogenetics : methods, algorithms, and applications

Table of Contents: “…Front Cover; Contents; List of Figures; List of Tables; Preface; Editors; Contributors; Chapter 1: Bayesian phylogenetics: methods, computational algorithms, and applications; Chapter 2: Priors in Bayesian phylogenetics; Chapter 3: Inated density ratio (IDR) method for estimating marginal likelihoods in Bayesian phylogenetics; Chapter 4: Bayesian model selection in phylogenetics and genealogy-based population genetics; Chapter 5: Variable tree topology stepping-stone marginal likelihood estimation; Chapter 6: Consistency of marginal likelihood estimation when topology varies.…”
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Conceptual atomism and the computational theory of mind : a defense of content-internalism and semantic externalism by Kuczynski, John-Michael

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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x by Lesmeister, Cory

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Cryptography Apocalypse : Preparing for the Day When Quantum Computing Breaks Today's Crypto. by Grimes, Roger A.

Table of Contents: “…59 -- Cryptography Basics 59 -- Encryption 59 -- Integrity Hashing 72 -- Cryptographic Uses 73 -- How Quantum Computers Can Break Cryptography 74 -- Cutting Time 74 -- Quantum Algorithms 76 -- What Quantum Can and Can’t Break 79 -- Still Theoretical 82 -- Summary 83 -- 4 When Will the Quantum Crypto Break Happen? …”
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Turing's vision : the birth of computer science by Bernhardt, Chris

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Adventures in Raspberry Pi by Philbin, Carrie Anne

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Against all odds : historical women and new algorithms

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

Table of Contents: “…Provisional English; 2.3. The Production Algorithm; 2.3.1. Procedural Interpretation of the Constraints; 2.4. …”
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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning : Incorporate New Powerful ML Algorithms Such As Deep Reinforcement Learning for Games. by Lanham, Micheal

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Heuristics in analytics : a practical perspective of what influences our analytical world by Reis Pinheiro, Carlos Andre, 1940-, McNeill, Fiona

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Intelligence emerging : adaptivity and search in evolving neural systems by Downing, Keith L.

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Machine learning with Scala quick start guide : leverage popular machine learning algorithms and techniques and implement them in Scala by Karim, Md. Rezaul

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Foundations of Probabilistic Logic Programming : Languages, Semantics, Inference and Learning. by Riguzzi, Fabrizio

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