Search Results - (((((((ant OR wkantin) OR semantics) OR wind) OR cantor) OR anne) OR plane) OR hints) algorithms.

Theoretical Computer Science : Proceedings of the 10th Italian Conference on ICTCS '07. by Italiano, Giuseppe F.

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Engineering risk assessment with subset simulation by Au, Siu-Kui

Table of Contents: “…3.8 Correlation through Constraint3.8.1 Uniform in Sphere; 3.8.2 Gaussian on Hyper-plane; 3.9 Stationary Gaussian Process; 3.9.1 Autocorrelation Function and Power Spectral Density; 3.9.2 Discrete-Time Process; 3.9.3 Sample Autocorrelation Function and Periodogram; 3.9.4 Time Domain Representation; 3.9.5 The ARMA Process; 3.9.6 Frequency Domain Representation; 3.9.7 Remarks; 3A.1 Appendix: Variance of Linear System Driven by White Noise; 3A.2 Appendix: Verification of Spectral Formula; References; 4 Markov Chain Monte Carlo; 4.1 Problem Context; 4.2 Metropolis Algorithm; 4.2.1 Proposal PDF.…”
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Gradience in grammar : generative perspectives

Table of Contents: “…Frisch and Adrienne Stearns -- Intermediate syntactic variants in a dialect : standard speech repertoire and relative acceptability / Leonie Cornips -- Gradedness and optionality in mature and developing grammars / Antonella Sorace -- Decomposing gradience : quantitative versus qualitative distinctions / Matthias Schlesewsky, Ina Bornkessel, and Brian McElree -- Gradient perception of intonation / Caroline Féry and Ruben Stoel -- Prototypicality judgements as inverted perception / Paul Boersma -- Modelling productivity with the gradual learning algorithm : the problem of accidentally exceptionless generalizations / Adam Albright and Bruce Hayes -- Gradedness as relative efficiency in the processing of syntax and semantics / John A. …”
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Cognitive Electronic Warfare : An Artificial Intelligence Approach. by Haigh, Karen

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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Calculating the Secrets of Life : Contributions of the Mathematical Sciences to Molecular Biology. by Lander, Eric S.

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Seismic Data Interpretation using Digital Image Processing by Al-Shuhail, Abdullatif A., Al-Dossary, Saleh A., Mousa, Wail A.

Table of Contents: “…5.5 Two-Dimensional Second-Order Derivative Operator5.5.1 The Coherence Attribute; 5.5.2 The Dip Attribute; 5.6 The Curvature Attribute; 5.7 Curvature of the Surface; 5.7.1 Curve, Velocity, and Curvature; 5.7.2 Surface, Tangent Plane, and Norm; 5.8 Shape Operator, Normal Curvature, and Principal Curvature; 5.8.1 Normal Curvature; 5.8.2 Shape Operator; 5.8.3 The Principal Curvatures; 5.8.4 Calculation of the Principal Curvatures; 5.8.5 Summary of Calculation of Principal Curvature for a Surface; 5.9 The Randomness Attribute; 5.10 Technique for Two-Dimensional Images.…”
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Advances in product development and reliability III : selected, peer reviewed papers from the 3rd International Conference on Advances in Product Development and Reliability (PDR 2...

Table of Contents: “…Advances in Product Development and Reliability III; Preface and Organizing Committee; Table of Contents; Solving the Flexible Job Shop Scheduling Problem Based on Memetic Algorithm; The Optimal Combination Research of System Configuration and T&M Policy of Standby Safety System; Black Box System Multi-Objective Optimization Based on Design of Experiment; Strength and Reliability Analysis of Hydraulic Support; Equipment Performance Degradation Modeling for Reliability Prediction Based on n-ARIMA Model; Research on Fault Diagnosis Based on BP-SOM Hybrid Algorithms for NC Machine…”
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Chemical, mechanical and materials engineering : selected, peer reviewed papers from the 2011 International Conference on Chemical, Mechanical and Materials Engineering (CMME2011),...

Table of Contents: “…Preparation and Exothermic Characterization of Dioctyl Sebacate (DOS)-Coated Aluminum NanopowdersApplication of Genetic Algorithm in Chemical Reaction Kinetics; Molten Slag Structure and Diffusion Coefficients of Cr3+ and Si4+ during Micro-Carbon Cr-Fe Alloy Production; Dynamic Crushing of Hexagonal Honeycombs under In-Plane Loading; Application of LOD Technology in the 3DVR Remote Control Platform for Shearer; Bearing Fault Diagnosis Based on Probability Boxes Theory and SVM Method; Study on Industry Process of the Rubber Anti-Oxidant RD…”
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Big data in medical science and healthcare management : diagnosis, therapy, side effects

Table of Contents: “…Autopilot and "doctor algorithm"? -- 1. Intro big data for healthcare? / Peter Langkafel -- 2. …”
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Anechoic and Reverberation Chambers : Theory, Design and Measurements. by Xu, Qian

Table of Contents: “…2.4.2 Analytical Expression of a Reflected Field from a Curved Surface2.4.3 Alternative GO Form; 2.5 GO-FEM Hybrid Method; 2.6 Summary; References; Chapter 3 Computer-aided Anechoic Chamber Design; 3.1 Introduction; 3.2 Framework; 3.3 Software Implementation; 3.3.1 3D Model Description; 3.3.2 Algorithm Complexities; 3.3.3 Far-Field Data; 3.3.4 Boundary Conditions; 3.3.5 RAM Description; 3.3.6 Forward Algorithm; 3.3.7 Inverse Algorithm; 3.3.8 Post Processing; 3.4 Summary; References; Chapter 4 Anechoic Chamber Design Examples and Verifications; 4.1 Introduction; 4.2 Normalised Site Attenuation.…”
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Mathematics and Multi-Ethnic Students : Exemplary Practices. by Germain- Mc Carthy, Yvelyne

Table of Contents: “…LYNNE GODFREY: AFRICAN AMERICANS AND THE ALGEBRA PROJECT; Engaging Students; Warm-Up; Group Work; The Winding Game; Discussion between Colleagues; Commentary; Unit Overview: The Chinese Zodiac and the Division Algorithm; 5. …”
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Hands-On Reinforcement Learning with Python : Master Reinforcement and Deep Reinforcement Learning Using OpenAI Gym and TensorFlow. by Ravichandiran, Sudharsan

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

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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On the Shoulders of Giants : New Approaches to Numeracy.

Table of Contents: “…""Planes and Surfaces""""Three-Dimensional Space""; ""Higher-Dimensional Spaces""; ""CONFIGURATION SPACES""; ""The Fourth Dimension""; ""Statics and Dynamics""; ""SLICING IN DIFFERENT DIMENSIONS""; ""Visitors from Higher Dimensions""; ""COUNTING COMBINATIONS""; ""Counting Triangles""; ""Counting Squares and Cubes""; ""Seeking Patterns""; ""REFERENCES AND RECOMMENDED READING""; ""Quantity""; ""QUANTITY IN SCHOOL MATHEMATICS""; ""Influence of Technology""; ""Influence of Applications""; ""Influence of Psychological Research""; ""FUNDAMENTAL CONCEPTS""; ""Numbers and Operations""…”
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Smart buildings, smart communities and demand response

Table of Contents: “…Demand Response in Smart Zero Energy Buildings and Grids / Nikos Kampelis -- DR in Smart and Near-zero Energy Buildings: The Leaf Community / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- Performance of Industrial and Residential Near-zero Energy Buildings / Nikos Kampelis, Konstantinos Gobakis, Vagias Vagias, Denia Kolokotsa, Laura Standardi, Daniela Isidori, Cristina Cristalli, Fabio Maria Montagnino, Filippo Paredes, Pietro Muratore, Luca Venezia, Marina Kyprianou Dracou, Alaric Montenon, Andri Pyrgou, Theoni Karlessi, Mattheos Santamouris -- HVAC Optimization Genetic Algorithm for Industrial Near-Zero Energy Building Demand Response / Nikos Kampelis, Nikolaos Sifakis, Denia Kolokotsa, Konstantinos Gobakis, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Smart Grid/Community Load Shifting GA Optimization Based on Day-ahead ANN Power Predictions / Nikos Kampelis, Elisavet Tsekeri, Denia Kolokotsa, Konstantinos Kalaitzakis, Daniela Isidori, Cristina Cristalli -- Conclusions and Recommendations.…”
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Innovation Manufacturing and Engineering Management : Selected, peer reviewed papers from the International Conference on Innovation Manufacturing and Engineering Management (IMEM)...

Table of Contents: “…Solder Selection of Lead-Free Reflow Soldering and Optimization of Craft CurveLow Reflectivity ErAlO Film on Si as Anti-Reflecting Coating in Solar Cells; Genesis Analysis of Common Defects of Reflow Soldering and Research for Solutions; Key Parameter Optimization in Wave Soldering; A Dynamic Clustering Querying Algorithm Based on Grid in Manufacturing System; Design of Accelerator in Wind Power Generator with Creative Mechanical Design Methodology; Analyze of Traditional Clothing Manufacturing Technology and Five Traditional Colors Based on Management Principle…”
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Short-Circuit Withstand Capability of Power Transformers. by Geißler, Daniel Hermann

Table of Contents: “…4.5.3 FEA Model Validation4.5.4 FEA Model for Bonded CTCs; 5 Dynamic Short-Circuit Forces Test Stand; 5.1 Design and Principal Functionality; 5.2 Deformation Measurement Systems; 5.2.1 Acceleration Sensors; 5.2.1.1 Immunity to Magnetic Fields; 5.2.1.2 Mounting to the Windings; 5.2.1.3 Signal Processing; 5.2.2 High-Speed Camera-Based Deformation Tracking; 5.2.2.1 Principal Functionality; 5.2.2.2 Marker Mounting and Image Calibration; 5.2.2.3 Displacement Calculation Algorithm; 5.2.3 Comparison of Both Systems; 5.3 Measurement Data Evaluation; 5.4 Experimental Results.…”
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Sound Visualization and Manipulation. by Kim, Yang-Hann

Table of Contents: “…1.6.3 Integral Approach Using Green's Function1.7 Solutions of the Wave Equation; 1.7.1 Plane Wave; 1.7.2 Spherical Wave; 1.8 Chapter Summary; References; Chapter 2 Radiation, Scattering, and Diffraction; 2.1 Introduction/Study Objectives; 2.2 Radiation of a Breathing Sphere and a Trembling Sphere; 2.3 Radiation from a Baffled Piston; 2.4 Radiation from a Finite Vibrating Plate; 2.5 Diffraction and Scattering; 2.6 Chapter Summary; 2.7 Essentials of Radiation, Scattering, and Diffraction; 2.7.1 Radiated Sound Field from an Infinitely Baffled Circular Piston.…”
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Optimization for machine learning

Table of Contents: “…Nemirovski -- Cutting-plane methods in machine learning / V. Franc, S. …”
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Numerical simulation of waves and fronts in inhomogeneous solids by Berezovski, Arkadi

Table of Contents: “…Jump relations. 4.4. Wave-propagation algorithm: an example of finite volume methods. 4.5. …”
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