Search Results - (((((((anti OR wantsa) OR semantic) OR fine) OR cantor) OR anne) OR shape) OR hints) algorithms.

Algorithms of education : how datafication and artificial intelligence shape policy / by Gulson, Kalervo N., Sellar, Sam, Webb, P. Taylor

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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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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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The rise of the algorithms : how YouTube and TikTok conquered the world by Jordan, John M.

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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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Multi-Objective Optimization in Theory and Practice II : metaheuristic algorithms. by Keller, André A.

Table of Contents: “…Near Pareto-Optimal Front; 1.3.4. Shapes of a Pareto-Optimal Front; 1.4. Selection Procedures of Algorithms; 1.4.1. …”
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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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Statistical models of shape : optimisation and evaluation by Davies, Rhodri (Rhodri H.)

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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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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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Scalable algorithms for contact problems by Dostál, Zdeněk, Kozubek, Tomáš, 1975-, Sadowská, Marie, Vonk, Vít

Table of Contents: “…Optimal QP and QCQP Algorithms -- 5. Conjugate Gradients -- 6. Gradient Projection for Separable Convex Sets -- 7. …”
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Number, Shape, & Symmetry : an Introduction to Number Theory, Geometry, and Group Theory. by Herrmann, Diane L.

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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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