Search Results - (((((((ant OR canton) OR semantic) OR mind) OR cantor) OR anne) OR plane) OR hints) algorithms.

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  1. 161

    3D Shape Analysis : Fundamentals, Theory and Applications. by Tabia, Hedi

    Published 2018
    Table of Contents: “…7.2 Problem Formulation7.3 Mathematical Tools; 7.4 Isometric Correspondence and Registration; 7.5 Nonisometric (Elastic) Correspondence and Registration; 7.6 Summary and Further Reading; 8 Semantic Correspondences; 8.1 Introduction; 8.2 Mathematical Formulation; 8.3 Graph Representation; 8.4 Energy Functions for Semantic Labeling; 8.5 Semantic Labeling; 8.6 Examples; 8.7 Summary and Further Reading; Part IV: Applications; 9 Examples of 3D Semantic Applications; 9.1 Introduction; 9.2 Semantics: Shape or Status; 9.3 Semantics: Class or Identity; 9.4 Semantics: Behavior; 9.5 Semantics: Position…”
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  2. 162

    OIPE 2012

    Published 2014
    Table of Contents: “…N-level output space mapping for electromagnetic design optimizationHigh-speed functionality optimization of five-phase PM machine using third harmonic current; Topology optimization of magnetostatic shielding using multistep evolutionary algorithms with additional searches in a restricted design space ; Adaptive unscented transform for uncertainty quantification in EMC large-scale systems; Ant colony optimization for the topological design of interior permanent magnet (IPM)machines; Multiobjective approach developed for optimizing the dynamic behavior of incremental linear actuators.…”
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  3. 163

    Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

    Published 2021
    Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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  4. 164

    The method of the generalised eikonal : new approaches in the Diffraction Theory. by Vesnik, Michael V.

    Published 2015
    Table of Contents: “…4 Diffraction by a Plane Perfectly Conducting Angular Sector (Heuristic Approach)4.1 Statement of the problem; 4.2 Solution in physical optics approximation; 4.2.1 Contour integral with enforced far zone condition; 4.2.2 Inputs of edges and vertices; 4.3 Solution in EECM approximation; 4.3.1 Rigorous solution for oblique incident wave; 4.3.2 Substitution of polarization components of diffraction coefficients; 4.4 Modified EECM; 4.5 Applicability limits of heuristic approaches; 4.5.1 Solution algorithm; 4.5.2 Applicability limits of heuristic solutions.…”
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  5. 165

    In pursuit of the traveling salesman : mathematics at the limits of computation by Cook, William, 1957-

    Published 2012
    Table of Contents: “…General-purpose model -- The simplex algorithm -- Two for the price of one: LP duality -- The degree LP relaxation of the TSP -- Eliminating subtours -- A perfect relaxation -- Integer programming -- Operations research -- Cutting planes. …”
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  6. 166

    Data Analytics Applied to the Mining Industry. by Soofastaei, Ali

    Published 2020
    Table of Contents: “…Advanced Data Analytics -- Introduction -- Big Data -- Analytics -- Deep Learning -- CNNs -- Deep Neural Network -- Recurrent Neural Network (RNN) -- ML -- Fuzzy Logic -- Classification Techniques -- Clustering -- Evolutionary Techniques -- Genetic Algorithms (GAs) -- Ant Colony Optimization (ACO)…”
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  7. 167

    Language engineering for lesser-studied languages

    Published 2009
    Table of Contents: “…Derzhanski -- Computational morphology for lesser-studied languages / Kemal Olfazer -- Practical syntastic processing of flexible word order languages with dynamic syntax / David Tugwell -- Computation field semantics : acquiring an ontological-semantic lexicon for a new language / Sergei Nirenburg and Marjorie McShane -- Applying machine translation for low- and middle-density languages / Stella Markantonatou [and others] -- Language resources for semitic languages : challenges and solutions / Shuly Wintner -- Low-density language strategies for Persian and Armenian / Karine Megerdoomian.…”
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    Electronic Conference Proceeding eBook
  8. 168

    Theory of information : fundamentality, diversity and unification by Burgin, M. S. (Mark Semenovich)

    Published 2010
    Table of Contents: “…Algorithmic information theory based on recursive algorithms : recursive approach. 5.3. …”
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  9. 169

    Topology '90

    Published 1992
    Table of Contents: “…(p-1)/2Tangles in Prisms, Tangles in Cobordisms -- A Computational Algorithm of Spectral Flow in Floer Homology…”
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  10. 170
  11. 171

    Forward and inverse problems for hyperbolic, elliptic, and mixed type equations by Megrabov, A. G.

    Published 2003
    Table of Contents: “…Inverse problems of scattering plane waves from inhomogeneous transition layers (half-space) -- 3.1. …”
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  12. 172

    Agent-based computing

    Published 2010
    Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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  13. 173
  14. 174

    The Origins of Knowledge and Imagination. by Bronowski, Jacob

    Published 2008
    Table of Contents: “…Cover; Contents; Foreword; 1. The Mind as an Instrument for Understanding; 2. The Evolution and Power of Symbolic Language; 3. …”
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  15. 175

    Inflectionary Invariants for Isolated Complete Intersection Curve Singularities. by Patel, Anand P., Swaminathan, Ashvin A.

    Published 2023
    Table of Contents: “…Counting Hyperflexes in a Pencil of Plane Curves -- 7.2. Counting Septactic Points in a Pencil of Plane Curves -- 7.3. …”
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  16. 176

    Remixthebook by Amerika, Mark

    Published 2011
    Table of Contents: “…Source material everywhere (the Alfred North Whitehead remix) -- Mind bank network (the Allen Ginsberg remix) -- Artist, medium, instrument (the Nam June Paik remix) -- The renewable tradition (extended play remix) -- Why video games suck (the Ad Reinhardt remix) -- Mark Amerika nature photography (studio remix) -- Situationist comedy (alternative laugh track remix) -- Premonition algorithm (the big kahuna remix).…”
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  17. 177

    Freeform Optics for LED Packages and Applications. by Wang, Kai

    Published 2016
    Table of Contents: “…Grids Redivision of the Target Plane and Light Source; 3.3.1.4 Step 4. Rebuild the Energy Relationship between the Light Source and Target Plane; 3.3.1.5 Step 5. …”
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  18. 178

    Integral equations, boundary value problems and related problems : dedicated to Professor Chien-Ke Lu on the occasion of his 90th birthday : Yinchuan, Ningxia, China, 19-23 August...

    Published 2013
    Table of Contents: “…Yao and C.F. Wang -- Anti-plane problem of two collinear cracks in a functionally graded coating-substance structure / S.H. …”
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  19. 179

    Stairs 2006 : Proceedings of the Third Starting AI Researchers' Symposium

    Published 2006
    Table of Contents: “…A Comparison of Two Machine-Learning Techniques to Focus the Diagnosis TaskArgumentation Semantics for Temporal Defeasible Logic; NEWPAR: An Optimized Feature Selection and Weighting Schema for Category Ranking; Challenges and Solutions for Hierarchical Task Network Planning in E-Learning; Invited Talks; Artificial Intelligence and Unmanned Aerial Vehicles; Writing a Good Grant Proposal; Author Index…”
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  20. 180

    Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow. by Ravichandiran, Sudharsan

    Published 2018
    Table of Contents: “…Solving the taxi problem using Q learningSARSA; Solving the taxi problem using SARSA; The difference between Q learning and SARSA; Summary; Questions; Further reading; Chapter 6: Multi-Armed Bandit Problem; The MAB problem; The epsilon-greedy policy; The softmax exploration algorithm; The upper confidence bound algorithm; The Thompson sampling algorithm; Applications of MAB; Identifying the right advertisement banner using MAB; Contextual bandits; Summary; Questions; Further reading; Chapter 7: Deep Learning Fundamentals; Artificial neurons; ANNs; Input layer; Hidden layer; Output layer.…”
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