Search Results - (((((((anti OR kind) OR mantis) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

  1. 321

    Innovative development of industrial manufacturing : selected, peer reviewed papers from the 2014 International Conference on Mechanics, Mechatronics and Materials Research (ICM3R...

    Published 2015
    Table of Contents: “…Nonlinear Response of Carbon-Carbon Laminated Panels to Random Acoustic Excitation under a Gradient Temperature FieldDiscussion on the Complicated Topological Dynamic System of Ordinary Differential Equation (ODE); Design and Simulation Analysis of One-Dimension Projectile Trajectory Corrector for Mortar Shell; Chapter 2: Materials and Processing Technologies; Research on the Anti-Rust Mechanism of T704; Optimization of Anhydrous Coolant's Base Fluid and the Evaluation of Low Temperature Performance; A Simulation Based Study on Gate Oxide Breakdown Characteristics for NMOS.…”
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    Electronic Conference Proceeding eBook
  2. 322

    Cognitive Electronic Warfare : An Artificial Intelligence Approach. by Haigh, Karen

    Published 2021
    Table of Contents: “…-- 1.5 Reader's Guide -- 1.6 Conclusion -- References -- 2 Objective Function -- 2.1 Observables That Describe the Environment -- 2.1.1 Clustering Environments -- 2.2 Control Parameters to Change Behavior -- 2.3 Metrics to Evaluate Performance -- 2.4 Creating a Utility Function -- 2.5 Utility Function Design Considerations -- 2.6 Conclusion -- References -- 3 ML Primer -- 3.1 Common ML Algorithms -- 3.1.1 SVMs -- 3.1.2 ANNs -- 3.2 Ensemble Methods -- 3.3 Hybrid ML -- 3.4 Open-Set Classification -- 3.5 Generalization and Meta-learning -- 3.6 Algorithmic Trade-Offs -- 3.7 Conclusion -- References -- 4 Electronic Support -- 4.1 Emitter Classification and Characterization -- 4.1.1 Feature Engineering and Behavior Characterization -- 4.1.2 Waveform Classification -- 4.1.3 SEI -- 4.2 Performance Estimation -- 4.3 Multi-Intelligence Data Fusion -- 4.3.1 Data Fusion Approaches -- 4.3.2 Example: 5G Multi-INT Data Fusion for Localization -- 4.3.3 Distributed-Data Fusion -- 4.4 Anomaly Detection -- 4.5 Causal Relationships -- 4.6 Intent Recognition -- 4.6.1 Automatic Target Recognition and Tracking -- 4.7 Conclusion -- References -- 5 EP and EA -- 5.1 Optimization -- 5.1.1 Multi-Objective Optimization -- 5.1.2 Searching Through the Performance Landscape -- 5.1.3 Optimization Metalearning -- 5.2 Scheduling -- 5.3 Anytime Algorithms -- 5.4 Distributed Optimization -- 5.5 Conclusion.…”
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  3. 323

    Advanced manufacturing technology and systems : selected, peer reviewed papers from the 2012 International Conference on Advanced Manufacturing Technology and Systems (AMTS 2012),...

    Published 2012
    Table of Contents: “…A Study on Corrosion Resistance and Weatherability of Fluorocarbon Anti-Corrosion Coatings for External Surface of Ocean PlatformA Study on the Mechanical Properties of Polymer-Ceramic Composite Using Injection Moulding; An Enhanced Resolution Three-Dimensional Transformation Method Based on Discrete Wavelet Transform; An Entropy Based Analytical Model for Thermoelastic Damping in Micromechanical Resonators; An Improved Ant Colony Optimization for Large-Scale Simple Assembly Line Balancing Problem of Type-1…”
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    Electronic Conference Proceeding eBook
  4. 324

    Selected papers of Alan Hoffman with commentary by Hoffman, Alan J.

    Published 2003
    Table of Contents: “…Fulkerson and Rosa Oppenheim -- A generalization of max flow-min cut -- On lattice polyhedra III: blockers and anti-blockers of lattice clutters -- Local unimodularity in the matching polytope / with Rosa Oppenheim -- A fast algorithm that makes matrices optimally sparse / with S. …”
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  5. 325

    What Every Teacher Should Know About Effective Teaching Strategies. by Tileston, Donna E. Walker

    Published 1900
    Table of Contents: “…Procedural MemoryAutomatic Memory -- Emotional Memory -- Chapter 4 -- Procedural Knowledge: Teaching Strategies That Work -- Helping Students Construct Models -- Teaching Procedural Knowledge That Requires Algorithms -- Strategies to Help Construct Models -- Shaping Procedural Knowledge -- Internalizing Procedural Knowledge -- The Metacognitive System -- Chapter 5 -- Graphic Organizers: Strategies for Thinking -- Graphic Organizers -- Chapter 6 -- Using Verbal Strategies in the Classroom -- Brainstorming -- Socratic Questioning -- Quaker Dialogues…”
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    Electronic eBook
  6. 326

    Features and processing in agreement by Mancini, Simona, 1978-

    Published 2018
    Table of Contents: “…1st/2nd vs. 3rd person: Person underspecification and context-dependencePronoun representation and interpretive anchors; The featural makeup of pronouns; Summary; Chapter Five; When disagreement is grammatical: Unagreement; Unagreement processing and the role of interpretive anchors; Unagreeing, null and overt subjects; Summary; Chapter Six; From feature bundles to feature an; Representations, algorithms and neuroanatomical bases of agreement; Relation to existing sentence comprehension models; Conclusion; Notes; Bibliography; Index…”
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  7. 327

    Reservoir engineering in modern oilfields : vertical, deviated, horizontal, and multilateral well systems by Chin, Wilson C.

    Published 2016
    Table of Contents: “…Stratigraphic grids, drilling dome-shaped structures.…”
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  8. 328

    Regression Analysis : Theory, Methods, and Applications by Sen, Ashish

    Published 1990
    Table of Contents: “…Random Variables -- B.1.2 Correlated Random Variables -- B.1.3 Sample Statistics -- B.1.4 Linear Combinations of Random Variables -- B.2 Random Vectors -- B.3 The Multivariate Normal Distribution -- B.4 The Chi-Square Distributions -- B.5 The F and t Distributions -- B.6 Jacobian of Transformations -- B.7 Multiple Correlation -- Problems -- C Nonlinear Least Squares -- C.1 Gauss-Newton Type Algorithms -- C.1.1 The Gauss-Newton Procedure -- C.1.2 Step Halving -- C.1.3 Starting Values and Derivatives -- C.1.4 Marquardt Procedure -- C.2 Some Other Algorithms -- C.2.1 Steepest Descent Method -- C.2.2 Quasi-Newton Algorithms -- C.2.3 The Simplex Method -- C.2.4 Weighting -- C.3 Pitfalls -- C.4 Bias, Confidence Regions and Measures of Fit -- C.5 Examples -- Problems -- Tables -- References -- Author Index.…”
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  9. 329

    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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  10. 330

    Curves and Surfaces for CAGD : a Practical Guide. by Farin, Gerald

    Published 2001
    Table of Contents: “…Coons Patches; Chapter 23. Shape; Chapter 24. Evaluation of Some Methods; App.…”
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  11. 331

    Enterprise artificial intelligence transformation : a playbook for the next generation of business and technology leaders by Haq, Rashed

    Published 2020
    Table of Contents: “…Types of Uses for Machine Learning -- Types of Machine Learning Algorithms -- Supervised, Unsupervised, and Semisupervised Learning -- Making Data More Useful -- Semantic Reasoning -- Applications of AI -- PART II Artificial Intelligence in the Enterprise -- Chapter 3 AI in E-Commerce and Retail -- Digital Advertising -- Marketing and Customer Acquisition -- Cross-Selling, Up-Selling, and Loyalty -- Business-to-Business Customer Intelligence -- Dynamic Pricing and Supply Chain Optimization -- Digital Assistants and Customer Engagement -- Chapter 4 AI in Financial Services -- Anti-Money Laundering.…”
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  12. 332

    Hands-On Automated Machine Learning : a beginner's guide to building automated machine learning systems using AutoML and Python. by Das, Sibanjan

    Published 2018
    Table of Contents: “…; Why use AutoML and how does it help?; When do you automate ML?; What will you learn?; Core components of AutoML systems; Automated feature preprocessing; Automated algorithm selection; Hyperparameter optimization; Building prototype subsystems for each component; Putting it all together as an end-to-end AutoML system; Overview of AutoML libraries; Featuretools; Auto-sklearn; MLBox; TPOT; Summary.…”
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  13. 333
  14. 334

    Innovations in Material Science, Applied Mechanics, Control and Information Technologies

    Published 2015
    Table of Contents: “…Identifying Significant Control Factors of Particle Swarm Optimization Algorithms in Solving Permutation Flowshop Scheduling Problems; Energy Optimal Control of PMSM Drive for Time-Varying Load Torque; Anti-Theft and Temperature Control of Car Wheel; The Measurement of the Fatigue Crack-Tip Displacement and Strain Fields under High Frequency Resonant Loading Applying DIC Method; Comparative Investigation of an Automated Oceanic Wave Surface Glider Robot Influence on Resistance Prediction Using CFD Method; Optimal the Multiple Performances in EDM for SKH57 Using Grey Relational Analysis.…”
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    Electronic Conference Proceeding eBook
  15. 335

    Structured parallel programming : patterns for efficient computation by McCool, Michael D.

    Published 2012
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  16. 336

    Cytopathology of the head and neck : ultrasound guided FNAC by Kocjan, Gabrijela

    Published 2017
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  17. 337

    Novel Trends in Production Devices and Systems II : Special Topic Volume with Invited Peer Reviewed Papers Only

    Published 2014
    Table of Contents: “…Input Control in Production System by Simulation OptimizationThe Options of Using Data Mining Methods in Process Control; Synographical Approach to Dynamical Systems Analysis; Optimization of Technical System by Using FTA and Genetic Algorithm; Improving the Sustainability and Effectiveness of the Inventory Management in Manufacturing Company; Improving the Quality of Manufacturing Process through Six Sigma Application in the Automotive Industry; Genetic Algorithms in Test Design Automation; Reflections on the Opportunities of Multicriteria Optimization within Simulation Studies.…”
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