Search Results - (((((((kant OR art) OR fine) OR semantic) OR cantor) OR anne) OR halted) OR wanting) 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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Flowchart and Algorithm Basics : The Art of Programming. by Chaudhuri, A. B.

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How to guard an art gallery and other discrete mathematical adventures by Michael, T. S., 1960-

Table of Contents: “…s Formula: Second Proof -- 2.8 Batting Averages and Lattice Points -- 2.9 Three Dimensions and N-largements -- 2.10 Notes and References -- 2.11 Problems -- 3 How to Guard an Art Gallery -- 3.1 The Sunflower Art Gallery -- 3.2 Art Gallery Problems -- 3.3 The Art Gallery Theorem -- 3.4 Colorful Consequences -- 3.5 Triangular and Chromatic Assumptions -- 3.6 Modern Art Galleries -- 3.7 Art Gallery Sketches -- 3.8 Right-Angled Art Galleries -- 3.9 Guarding the Guards -- 3.10 Three Dimensions and the Octoplex…”
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The Human Algorithm by Solis, Brian

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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Open Data Structures : an Introduction. by Morin, Pat

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Introduction to cryptography by Padhye, Sahadeo, Sahu, Rajeev A., Saraswat, Vishal

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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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Structural geology algorithms : vectors and tensors by Allmendinger, Richard Waldron, Cardozo, Nestor, Fisher, Donald M., 1961-

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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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Semantic matchmaking with nonmonotonic description logics by Grimm, Stephan

Table of Contents: “…Nonmonotonic Reasoning in the Semantic WebNonmonotonic Description Logics; Autoepistemic Description Logics; Formal Semantics for Autoepistemic DLs; Reasoning with Epistemic Operators; Circumscriptive Description Logics; Formal Semantics for Circumscriptive DLs; Reasoning with Circumscribed Knowledge Bases; Terminological Defaults; Discussion; A Reasoning Algorithm for Circumscriptive Description Logics; Principle Idea of a Tableaux Extension; Extending DL Tableaux Calculi by Preference Clashes; Restrictions on the Formalism; Deciding Circumscriptive ALCO…”
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Ensemble methods : foundations and algorithms. by Zhou, Zhi-Hua (Computer scientist)

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Genome Sequencing Technology and Algorithms. by Kim, Sun

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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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Data management in the semantic web

Table of Contents: “…DATA MANAGEMENT IN THE SEMANTIC WEB ; DATA MANAGEMENT IN THE SEMANTIC WEB ; CONTENTS ; PREFACE ; INTERPRETATIONS OF THE WEB OF DATA; Abstract; 1. …”
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Learning OWL class expressions by Lehmann, Jens, 1982-

Table of Contents: “…Preliminaries and State of the Art; Semantic Web; History and Vision; RDF and SPARQL; Description Logics; OWL; Concept Learning and Inductive Reasoning; History, Tools, and Applications; Learning Problems in OWL/DLs; Refinement Operators in OWL/DLs; Chapter 3. …”
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Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

Table of Contents: “…Identification problematic and brief state of the art 2.2. Problem statement and modeling -- 2.2.1. …”
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