Search Results - (((((((ant OR wantis) OR semantic) OR find) OR cantor) OR anne) OR plane) OR hints) algorithms.

Handbook of Dermatology : a Practical Manual. by Mann, Margaret W.

Table of Contents: “…Large vessel vasculitisCryoglobulinemia; Bullous Disorders; Intracorneal/subcorneal; Intraepidermal; Suprabasilar; Subepidermal with little inflammation; Subepidermal with lymphocytes; Subepidermal with eosinophils; Subepidermal with neutrophils; Subepidermal with mast cells; Epidermolysis bullosa; Major bullous diseases -- clinicopathologic findings; Complement; Angioedema and complement levels; Complement deficiencies; GVHD (Graft vs. …”
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Small Unmanned Aircraft : Theory and Practice by Beard, Randal W., McLain, Timothy W., 1963-

Table of Contents: “…9.6 Design Project10 Straight-line and Orbit Following; 10.1 Straight-line Path Following; 10.2 Orbit Following; 10.3 Chapter Summary; 10.4 Design Project; 11 Path Manager; 11.1 Transitions Between Waypoints; 11.2 Dubins Paths; 11.3 Chapter Summary; 11.4 Design Project; 12 Path Planning; 12.1 Point-to-Point Algorithms; 12.2 Coverage Algorithms; 12.3 Chapter Summary; 12.4 Design Project; 13 Vision-guided Navigation; 13.1 Gimbal and Camera Frames and Projective Geometry; 13.2 Gimbal Pointing; 13.3 Geolocation; 13.4 Estimating Target Motion in the Image Plane; 13.5 Time to Collision.…”
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Comprehensive Ruby Programming. by Hudgens, Jordan

Table of Contents: “…Implementing a prime number counting algorithm -- How to code the power digit sum algorithm -- Implementing a humanize counting algorithm -- Implementing a date algorithm -- How to code a Fibonacci digit counter -- Implementing a permutation algorithm -- Implementing an amicable number algorithm -- Implementing a factorial algorithm -- Implementing an even Fibonacci number algorithm -- Implementing the least common multiple -- Summary -- Chapter 19: Machine Learning -- Big data analysis -- Basic decision tree implementation -- Addition of attributes -- Addition of training data and its values -- Calling the ID3 method -- Function of the train method -- Addition of the test method -- Setting up decision variables -- Print the results out -- Testing the program -- Advantage of decision trees over if ... else statements -- How to develop a big data analysis application in Ruby -- Summary -- Index.…”
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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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Foundations of decision-making agents : logic, probability and modality by Das, Subrata Kumar

Table of Contents: “…Complexity of inference algorithms. 6.9. Acquisition of probabilities. 6.10. …”
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Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes by Shukla, Nishant, 1992-

Table of Contents: “…Computing the Euclidean distanceComparing scaled data using the Pearson correlation coefficient; Comparing sparse data using cosine similarity; Chapter 3: The Science of Words; Introduction; Displaying a number in another base; Reading a number from another base; Searching for a substring using Data.ByteString; Searching a string using the Boyer-Moore-Horspool algorithm; Searching a string using the Rabin-Karp algorithm; Splitting a string on lines, words, or arbitrary tokens; Finding the longest common subsequence; Computing a phonetic code; Computing the edit distance…”
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Inside jokes : using humor to reverse-engineer the mind by Hurley, Matthew M., 1977-

Table of Contents: “…Emotion and computation -- Finding the funny bone -- Does logic or emotion organize our brains? …”
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Quantification and Optimisation of Lung Ventilation SPECT Images. by Norberg, Pernilla

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Apache Spark for Data Science Cookbook. by Chitturi, Padma Priya

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Effective Amazon Machine Learning. by Perrier, Alexis

Table of Contents: “…Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Introduction to Machine Learning and Predictive Analytics; Introducing Amazon Machine Learning; Machine Learning as a Service; Leveraging full AWS integration; Comparing performances; Engineering data versus model variety; Amazon's expertise and the gradient descent algorithm; Pricing; Understanding predictive analytics; Building the simplest predictive analytics algorithm; Regression versus classification.…”
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Artificial Neural Network Applications for Software Reliability Prediction. by Bisi, Manjubala

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Statistical models of shape : optimisation and evaluation by Davies, Rhodri (Rhodri H.)

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Big data, data mining and machine learning : value creation for business leaders and practitioners by Dean, Jared, 1978-

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Artificial intelligent techniques for electric and hybrid electric vehicles

Table of Contents: “…2.6 PID Controller -- 2.7 Fuzzy Control -- 2.8 Auto-Tuning Type Fuzzy PID Controller -- 2.9 Genetic Algorithm -- 2.10 Artificial Neural Network-Based Controller -- 2.11 BLDC Motor Speed Controller With ANN-Based PID Controller -- 2.11.1 PID Controller-Based on Neuro Action -- 2.11.2 ANN-Based on PID Controller -- 2.12 Analysis of Different Speed Controllers -- 2.13 Conclusion -- References -- Chapter 3 Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles -- 3.1 Introduction -- 3.2 Basic Components of an Active Magnetic Bearing (AMB) -- 3.2.1 Electromagnet Actuator…”
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Swift 2 design patterns : build robust and scalable iOS and Mac OS X game applications by Lange, Julien

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Ranking the Liveability of the World's Major Cities : the Global Liveable Cities Index (GLCI). by Tan, Khee Giap

Table of Contents: “…2.2.3 Domestic Security & Stability2.2.4 Socio-Cultural Conditions; 2.2.5 Political Governance; 2.3 Selecting Indicators for the Global Liveable Cities Index: Ideal versus Practical; 2.4 Data Sources, Constraints & Proxies; 2.5 The Selection of Cities; 2.6 Computation of Rankings: The Algorithm; CHAPTER 3: THE EMPIRICAL FINDINGS AND POLICY SIMULATION; 3.1 Global Liveable Cities Index Ranking; 3.2 Policy Simulation; 3.3 Simulation Results; 3.4 Asian Liveable Cities Ranking; 3.5 Discussion of the Global Liveable Cities Index Ranking.…”
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Artificial Intelligence Research and Development. by Riaño, D.

Table of Contents: “…Using Gabriel Graphs in Borderline-SMOTE to Deal with Severe Two-Class Imbalance Problems on Neural NetworksActive Learning of Actions Based on Support Vector Machines; Towards the Formalization of Re-Identification for Some Data Masking Methods; Natural Language Processing and Recommenders; Towards Object Descriptions in Natural Language from Qualitative Models; Semantically-Enhanced Recommenders; Computer Vision; Supervised Texture Classification Using Optimization Techniques; Modelling Facial Expressions Dynamics with Gaussian Process Regression; Survey on 2D and 3D Human Pose Recovery…”
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Biomedical image understanding : methods and applications

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Large-Scale Structures in Acoustics and Electromagnetics : Proceedings of a Symposium. by Staff, National Research Council

Table of Contents: “…""A Family of Highly Absorbing Boundary Conditions""""Remarks:""; ""Operators And For Taylor-Galerkin Schemes""; ""ADAPTIVITY""; ""A FREQUENCY-DOMAIN APPROACH""; ""The Galerkin-Burton-Miller Formulation""; ""NUMERICAL EXAMPLES""; ""Example 1: Diffraction of a Plane Wave from an Elastic Cylindrical Shell (2D)""; ""Acoustic Fluid""; ""Elastic Cylinder""; ""Example 2: The Vibrating Cylinder Problem""; ""Example 3: The Coupled FE/BE Methods versus the Time-Domain Method""; ""ACKNOWLEDGMENT""; ""REFERENCES""; ""2 Distributed Feedback Resonators""; ""INTRODUCTION""…”
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Numerical models for submerged breakwaters : coastal hydrodynamics and morphodynamics by Ahmadian, Amir Sharif

Table of Contents: “…3 Literature Review and BackgroundReferences; 4 Theories and Methodologies; 4.1 Introduction; 4.2 Traditional Models for Water Waves; 4.3 New Approaches; 4.3.1 Meshless Methods; 4.3.2 Artificial Intelligence Methods; MLP Networks; Back-Propagation Algorithm; Levenberg-Marquardt Algorithm; RBF Networks; References; 5 Mathematical Modeling and Algorithm Development; 5.1 Navier-Stokes Equations; 5.2 The Turbulent Model; 5.3 Initial and Boundary Conditions; 5.4 Shallow Waters; 5.5 The Extended Mild-Slope Equation; 5.6 Boussinesq Equations; 5.7 Smoothed Particles Hydrodynamics.…”
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