Search Results - (((((((want OR when) OR semantic) OR arts) OR cantor) OR anne) OR wares) OR mantis) algorithms.

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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Handbook of Satisfiability : Handbook of Satisfiability. by Biere, A.

Table of Contents: “…Random Satisfiability; 8.1 Introduction; 8.2 The State of the Art; 8.3 Random MAX k-SAT; 8.4 Physical Predictions for Solution-space Geometry; 8.5 The Role of the Second Moment Method; 8.6 Generative models; 8.7 Algorithms; 8.8 Belief/Survey Propagation and the Algorithmic Barrier.…”
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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

Table of Contents: “…Programming the Sensors to Find Out the Current Temperature -- Creating Pixel Art -- Creating a Sense HAT Desk Thermometer -- Further Adventures with Cameras and HATs -- Chapter 10 The Big Adventure: Building a Raspberry Pi Jukebox -- An Overview of the Jukebox Project -- What You Will Need -- Part One: Creating the LCD Screen -- Preparing the LCD Screen by Adding Headers -- Mounting the LCD Screen and Wiring Up the Breadboard -- Adding Scripts to Drive the LCD Screen -- Part Two: Downloading and Playing MP3s -- Installing a Media Player and Getting Music Files -- Writing a Jukebox Python Program -- Part Three: Controlling the Jukebox with Buttons -- Connecting the Buttons -- Adapting Your Jukebox Program to Include GPIO Buttons -- Part Four: Displaying Jukebox Information on the LCD Screen -- Finishing Up -- Appendix Where to Go from Here -- Websites -- Clubs -- Inspiring Projects and Tutorials -- Videos -- Books and Magazines -- Glossary -- Index -- EULA.…”
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Architectures for computer vision : from algorithm to chip with Verilog by Jeong, Hong

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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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Art and future : energy, climate, cultures

Table of Contents: “…UNOVIS and the future of art /…”
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Digital is destroying everything : what the tech giants won't tell you about how robots, big data, and algorithms are radically remaking your future by Edwards, Andrew V., 1956-

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Remixthebook by Amerika, Mark

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""Muster - Ornament, Struktur und Verhalten"" : Ornament, Structure, and Behavior. by Gleiniger, Andrea

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