Search Results - (((((((ant OR kanter) OR wkant) OR dartee) OR cantor) OR anne) OR maarten) OR partes) algorithms.
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21
Genetic algorithm essentials
Published 2017Table of Contents: “…Part I: Foundations -- Introduction -- Genetic Algorithms -- Parameters -- Part II: Solution Spaces -- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning -- Applications -- Part IV: Ending -- Summary and Outlook -- Index -- References.…”
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English Algorithmic Grammar.
Published 2005Table of Contents: “…Contents; Preface; Part One; 1 Algorithmic recognition of the Verb; 2 Division of the sentence into phrases; 3 Algorithmic recognition of Parts of Speech; 4 Algorithmic recognition of the Tenses; Part Two; 5 Syntactical structure of the sentence; 6 Composition of the segments; 7 Parsing algorithm; 8 Links of predicates and incomplete segments; 9 Reference; 10 Recognition of the Independent and Dependent Clauses; 11 Further applications; Appendix 1: List of Prepositions and Conjunctions and their most characteristic meaning; Appendix 2: Internet downloads; General index of abbreviations.…”
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Discrete Algorithms and Complexity : Proceedings of the Japan-US Joint Seminar, June 4-6, 1986, Kyoto, Japan.
Published 1987Table of Contents: “…The Principal Partition of Vertex-Weighted Graphs and Solution Algorithms For Problem 2; 3. Flow Assignment In The Graph Defined For Problem 4: Part 1.…”
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Responsible Data Science : transparency and fairness in algorithms
Published 2021Table of Contents: “…Part I Motivation for Ethical Data Science and Background Knowledge 1 -- Chapter 1 Responsible Data Science 3 -- The Optum Disaster 4 -- Jekyll and Hyde 5 -- Eugenics 7 -- Galton, Pearson, and Fisher 7 -- Ties between Eugenics and Statistics 7 -- Ethical Problems in Data Science Today 9 -- Predictive Models 10 -- From Explaining to Predicting 10 -- Predictive Modeling 11 -- Setting the Stage for Ethical Issues to Arise 12 -- Classic Statistical Models 12 -- Black-Box Methods 14 -- Important Concepts in Predictive Modeling 19 -- Feature Selection 19 -- Model-Centric vs. …”
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Structural geology algorithms : vectors and tensors
Published 2012Full text (MFA users only)
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Internet congestion control
Published 2015Table of Contents: “…1.2.7 Implicit versus Explicit Indication of Network Congestion1.3 Description of TCP Reno -- 1.3.1 Basic TCP Windowing Operations -- 1.3.2 Window Size Decrements, Part 1: Timer Operation and Timeouts -- 1.3.3 Window Size Increments: Slow Start and Congestion Avoidance -- 1.3.3.1 Slow Start -- 1.3.3.2 Congestion Avoidance -- 1.3.4 Window Size Decrements, Part 2: Fast Retransmit and Fast Recovery -- 1.3.5 TCP New Reno -- 1.3.6 TCP Reno and AIMD -- 1.4 Network Feedback Techniques -- 1.4.1 Passive Queue Management -- 1.4.2 Active Queue Management (AQM)…”
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Algorithms and ordering heuristics for distributed constraint satisfaction problems
Published 2013Table of Contents: “…Part 3: Asynchronous Search Algorithms and Ordering Heuristics for DisCSPsChapter 6. …”
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Machine Learning Algorithms and Applications.
Published 2021Table of Contents: “…7.1 Introduction -- 7.2 Related Works -- 7.3 Feature Agglomeration Clustering -- 7.4 Proposed Methodology -- 7.5 Results and Analysis -- 7.6 Conclusion -- References -- Part 2: Machine Learning for Healthcare Systems -- 8 Cardiac Arrhythmia Detection and Classification From ECG Signals Using XGBoost Classifier -- 8.1 Introduction -- 8.2 Materials and Methods -- 8.3 Results and Discussion -- 8.4 Conclusion -- References -- 9 GSA-Based Approach for Gene Selection from Microarray Gene Expression Data -- 9.1 Introduction -- 9.2 Related Works -- 9.3 An Overview of Gravitational Search Algorithm…”
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Genome Sequencing Technology and Algorithms.
Published 2007Table of Contents: “…Genome Sequencing Technolog and Algorithms; List of Contributors; Contents; Part I The New DNA Sequencing Technology; 1 An Overview of New DNA Sequencing Technology; 2 Array-Based Pyrosequencing Technology; 3 The Role of Resequencing Arrays in RevolutionizingDNA Sequencing; 4 Polony Sequencing; 5 Genome Sequencing: A Complex Path to PersonalizedMedicine; Part II Genome Sequencing and Fragment Assembly; 6 Overview of Genome Assembly Techniques; 7 Fragment Assembly Algorithms; 8 Assembly for Double-Ended Short-Read SequencingTechnologies; Part III Beyond Conventional Genome Sequencing.…”
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Adaptive Algorithms and Stochastic Approximations
Published 1990Table of Contents: “…O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. …”
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Scalable algorithms for contact problems
Published 2016Table of Contents: “…Optimization -- 4. Analysis -- Part II. Optimal QP and QCQP Algorithms -- 5. Conjugate Gradients -- 6. …”
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Algorithmic Diagnosis of Symptoms and Signs.
Published 2017Table of Contents: “…Intro; Half Title Page; Title Page; Copyright Page; Preface to the Fourth Edition; Preface to the First Edition; Introduction; Contents; Part 1 Getting the Most out of Your History and Physical Examination; Part 2 Algorithms of Symptoms and Signs; Abdominal Pain, Acute; Abdominal Pain, Chronic Recurrent; Abdominal Rigidity; Abdominal Swelling, Focal; Abdominal Swelling, Generalized; Absent or Diminished Pulse; Acid Phosphatase Elevation; Acidosis (Decreased pH); Alkaline Phosphatase Elevation; Alkalosis (Increased pH); Alopecia; Alterations in Serum Iron; Alteration in Serum Uric Acid.…”
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Algorithmics of matching under preferences
Published 2013Full text (MFA users only)
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Metaheuristic optimization for the design of automatic control laws
Published 2013Table of Contents: “…Ant colony optimization…”
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Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach.
Published 2016Table 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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Parsing schemata for practical text analysis
Published 2010Full text (MFA users only)
Electronic eBook