Search Results - (((((((want OR anti) OR wantsa) OR mantis) OR cantor) OR anne) OR fine) OR splitting) 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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The alphabet and the algorithm by Carpo, Mario

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

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Jewels of stringology : text algorithms. by RYTTER, WOJCIECH

Table of Contents: “…Parallel string-matching algorithms. 16.3. * Splitting technique. 16.4. Parallel KMR algorithm and application. 16.5. …”
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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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Data Mining Algorithms : Explained Using R. by Cichosz, Pawel

Table of Contents: “…3.3.1 Algorithm outline3.3.2 Class distribution calculation; 3.3.3 Class label assignment; 3.3.4 Stop criteria; 3.3.5 Split selection; 3.3.6 Split application; 3.3.7 Complete process; 3.4 Pruning; 3.4.1 Pruning operators; 3.4.2 Pruning criterion; 3.4.3 Pruning control strategy; 3.4.4 Conversion to rule sets; 3.5 Prediction; 3.5.1 Class label prediction; 3.5.2 Class probability prediction; 3.6 Weighted instances; 3.7 Missing value handling; 3.7.1 Fractional instances; 3.7.2 Surrogate splits; 3.8 Conclusion; 3.9 Further readings; References; Chapter 4 Naïve Bayes classifier; 4.1 Introduction.…”
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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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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 2 : Solid-Electrolyte Interphase. by Liotta, Giuseppe

Table of Contents: “…Difference Metrics for Interactive Orthogonal Graph Drawing Algorithms Techniques for the Refinement of Orthogonal Graph Drawings ; A Split & Push Approach to 3D Orthogonal Drawing ; Using Graph Layout to Visualize Train Interconnection Data.…”
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Graph algorithms and applications 3

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

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

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Algorithmic Graph Theory and Perfect Graphs. by Rheinboldt, Werner

Table of Contents: “…The Design of Efficient Algorithms; 1. The Complexity of Computer Algorithms; 2. …”
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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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Network and discrete location : models, algorithms, and applications by Daskin, Mark S., 1952-

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Learning JavaScript data structures and algorithms : understand and implement classic data structures and algorithms using JavaScript by Groner, Loiane

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Combining pattern classifiers : methods and algorithms by Kuncheva, Ludmila I. (Ludmila Ilieva), 1959-

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