Search Results - (((((((hand OR wants) OR span) OR wanting) OR cantor) OR anne) OR carter) OR santing) algorithms.

Hands-On Ensemble Learning with R : a Beginner's Guide to Combining the Power of Machine Learning Algorithms Using Ensemble Techniques. by Tattar, Prabhanjan Narayanachar

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Hands-On Artificial Intelligence for Beginners : an Introduction to AI Concepts, Algorithms, and Their Implementation. by Smith, Patrick D.

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

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

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Probability and Algorithms. by Staff, National Research Council

Table of Contents: “…""PROBABILITY AND ALGORITHMS""; ""Copyright""; ""Preface""; ""Contents""; ""1. …”
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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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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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Orthopaedic hand trauma by Eltorai, Adam, Akelman, Edward

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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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An introduction to the analysis of algorithms by Soltys, Michael, 1971-

Table of Contents: “…Notes -- 2. Greedy algorithms. 2.1. Minimum cost spanning trees. 2.2. Jobs with deadlines and profits. 2.3. …”
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Responsible Data Science : transparency and fairness in algorithms by Fleming, Grant

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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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Security of block ciphers : from algorithm design to hardware implementation by Sakiyama, Kazuo, 1971-

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C# Data Structures and Algorithms : Explore the possibilities of C# for developing a variety of efficient applications. by Jamro, Marcin

Table of Contents: “…InsertionRemoval; Example -- BST visualization; AVL trees; Implementation; Example -- keep the tree balanced; Red-black trees; Implementation; Example -- RBT-related features; Binary heaps; Implementation; Example -- heap sort; Binomial heaps; Fibonacci heaps; Summary; Chapter 6: Exploring Graphs; Concept of graphs; Applications; Representation; Adjacency list; Adjacency matrix; Implementation; Node; Edge; Graph; Example -- undirected and unweighted edges; Example -- directed and weighted edges; Traversal; Depth-first search; Breadth-first search; Minimum spanning tree; Kruskal's algorithm.…”
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Graph algorithms and applications 3

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Network Routing : Algorithms, Protocols, and Architectures. by Medhi, Deep

Table of Contents: “…2.7.2 Distance Vector-Based Approach2.8 Shortest Widest Path and Widest Shortest Path; 2.9 Tree, Spanning Tree, and Steiner Tree Algorithms; 2.9.1 Spanning Tree: Breadth First Search and Depth First Search; 2.9.2 Minimum Spanning Tree; 2.9.3 Steiner Tree; 2.10 k-Shortest Paths Algorithm; 2.11 Summary; Further Lookup; Exercises; 3 Routing Protocols: Framework and Principles; 3.1 Routing Protocol, Routing Algorithm, and Routing Table; 3.2 Routing Information Representation and Protocol Messages; 3.3 Distance Vector Routing Protocol; 3.3.1 Conceptual Framework and Illustration.…”
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Pedestrian Detection Algorithms using Shearlets. by Pfeifer, Lienhard

Table of Contents: “…4.3 Conclusion5 Pedestrian Detection using Shearlet Features; 5.1 Pedestrian Detection using Hand-crafted Features; 5.2 Shearlet Image Features; 5.3 Shearlet Filterbank; 5.4 Implementation Details; 5.5 Experiments; 5.5.1 Detection Framework Settings; 5.5.2 Image Feature Experiments; 5.5.3 Filterbank Experiments; 5.6 Conclusion; 6 Deep Learning with Shearlets; 6.1 Introduction on Neural Networks; 6.1.1 Artificial Neural Networks; 6.1.2 Convolutional Neural Networks; 6.1.3 Pedestrian Detection Algorithms using CNNs; 6.2 Integration of Shearlets in CNNs; 6.2.1 Related Work…”
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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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