Search Results - (((((((anti OR mantis) OR wants) OR hints) OR cantor) OR anne) OR fine) OR santing) algorithms.

Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models. by Bonaccorso c/o Quandoo, Giuseppe

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Theory of randomized search heuristics : foundations and recent developments

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Sante Mentale Sante Publique, Ebook Pdf by Briffault, Xavier

Table of Contents: “…-- Le concept de santé mentale -- Ou trouver l'esprit ?…”
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Algorithmic Puzzles. by Levitin, Anany, Levitin, Maria

Table of Contents: “…-- General strategies for algorithm design -- Analysis techniques -- Easier puzzles (#1 to #50) -- Puzzles of medium difficulty (#51 to #110) -- Harder puzzles (#111 to #150) -- Hints -- Solutions -- References -- Design stragety and analysis index.…”
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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Permutation Group Algorithms by Seress, kos

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Nature-inspired optimization algorithms by Yang, Xin-She

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Algorithms in invariant theory by Sturmfels, Bernd, 1962-

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Pathway modeling and algorithm research

Table of Contents: “…PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. …”
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An Introduction to Algorithmic Trading : Basic to Advanced Strategies. by Leshik, Edward, Cralle, Jane

Table of Contents: “…Introduction to trading algorithms. History ; All about trading algorithms you ever wanted to know ... ; Algos defined and explained ; Who uses and provides algos ; Why have they become mainstream so quickly? …”
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Responsible Data Science : transparency and fairness in algorithms by Fleming, Grant

Table of Contents: “…Black-Box Models 35 -- Ethical Challenges with Interpretable Models 38 -- Black-Box Models 39 -- Ensembles 39 -- Nearest Neighbors 41 -- Clustering 41 -- Association Rules 42 -- Collaborative Filters 42 -- Artificial Neural Nets and Deep Neural Nets 43 -- Problems with Black-Box Predictive Models 45 -- Problems with Unsupervised Algorithms 47 -- Summary 48 -- Chapter 3 The Ways AI Goes Wrong, and the Legal Implications 49 -- AI and Intentional Consequences by Design 50 -- Deepfakes 50 -- Supporting State Surveillance and Suppression 51 -- Behavioral Manipulation 52 -- Automated Testing to Fine-Tune Targeting 53 -- AI and Unintended Consequences 55 -- Healthcare 56 -- Finance 57 -- Law Enforcement 58 -- Technology 60 -- The Legal and Regulatory Landscape around AI 61 -- Ignorance Is No Defense: AI in the Context of Existing Law and Policy 63 -- A Finger in the Dam: Data Rights, Data Privacy, and Consumer Protection Regulations 64 -- Trends in Emerging Law and Policy Related to AI 66 -- Summary 69 --…”
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La santé connectée citoyenne

Table of Contents: “…Cover -- Table des matières -- Introduction -- PARTIE 1. Ambitions de la santé connectée -- Introduction de la partie 1 -- Chapitre 1. …”
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Pattern Recognition. by Theodoridis, Sergios

Table of Contents: “…Chapter 13 Clustering Algorithms II: Hierarchical AlgorithmsChapter 14 Clustering Algorithms III: Schemes Based on Function Optimization; Chapter 15 Clustering Algorithms IV; Chapter 16 Cluster Validity; Appendix A Hints from Probability and Statistics; Appendix B Linear Algebra Basics; Appendix C Cost Function Optimization; Appendix D Basic Definitions from Linear Systems Theory; Index.…”
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Genetic Algorithms + Data Structures = Evolution Programs by Michalewicz, Zbigniew

Table of Contents: “…I. Genetic Algorithms -- 1 GAs: What Are They? -- 2 GAs: How Do They Work? …”
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Graph algorithms and applications 3

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Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach. by Pavón Mariño, Pablo

Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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Network Routing : Algorithms, Protocols, and Architectures. by Medhi, Deep

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Introduction to programming : learn to program in Java with data structures, algorithms, and logic by Samoylov, Nick

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Modern anti-windup synthesis : control augmentation for actuator saturation by Zaccarian, Luca

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Building winning algorithmic trading systems : a trader's journey from data mining to Monte Carlo simulation to live trading by Davey, Kevin J., 1966-

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