Search Results - (((((((ant OR want) OR semantic) OR cantee) OR cantor) OR anne) OR carter) OR wantsa) algorithms.

Android Sensor Programming By Example. by Nagpal, Varun

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Debates in the digital humanities 2016

Table of Contents: “…Father Busa Female Punch Card Operatives / Melissa Terras and Julianne Nyhan -- On the Origin of "Hack" and "Yack" / Bethany Nowviskie -- Reflections on a Movement: #transformDH, Growing Up / Moya Bailey, Anne Cong-Huyen, Alexis Lothian, and Amanda Phillips.…”
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Deep learning with Python : a hands-on introduction by Ketkar, Nikhil

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Deep learning for dummies by Mueller, John, 1958-, Massaron, Luca

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Robust and error-free geometric computing by Eberly, Dave

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FX barrier options : a comprehensive guide for industry quants by Dadachanji, Zareer

Table of Contents: “…Stupid; 4.10 Five things we want from a model; 4.11 Stochastic volatility (SV) models; 4.11.1 SABR model; 4.11.2 Heston model; 4.12 Mixed local/stochastic volatility (lsv) models; 4.12.1 Term structure of volatility of volatility; 4.13 Other models and methods; 4.13.1 Uncertain Volatility (UV) models; 4.13.2 Jump-diffusion models; 4.13.3 Vanna-volga methods; 5 Smile Risk Management; 5.1 Black-Scholes with term structure; 5.2 Local volatility model; 5.3 Spot risk under smile models; 5.4 Theta risk under smile models; 5.5 Mixed local/stochastic volatility models; 5.6 Static hedging; 5.7 Managing risk across businesses; 6 Numerical Methods; 6.1 Finite-difference (FD) methods; 6.1.1 Grid geometry; 6.1.2 Finite-difference schemes; 6.2 Monte Carlo (MC) methods; 6.2.1 Monte Carlo schedules; 6.2.2 Monte Carlo algorithms; 6.2.3 Variance reduction; 6.2.4 The Brownian Bridge; 6.2.5 Early…”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Learning OpenCV 3 Application Development. by Datta, Samyak

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Complexity : a guided tour by Mitchell, Melanie (Computer scientist)

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Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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Computational ecology : artificial neural networks and their applications by Zhang, Wenjun

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Design studies and intelligence engineering

Table of Contents: “…Intro -- Title Page -- Preface -- Contents -- PSIC3839: Predicting the Overall Emotion and Depth of Entire Songs -- Research on Noise Control of Product Symbol Communication Channel-Take a Small Rice Mill for Example -- Towards Better Data Pre-Processing for Building Recipe Recommendation Systems from Industrial Fabric Dyeing Manufacturing Records: Categorization of Coloration Properties for a Dye Combination on Different Fabrics -- A Multi-Robot Planning Algorithm with Quad Tree Map Division for Obstacles of Irregular Shape…”
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Principles of artificial neural networks by Graupe, Daniel

Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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Experiencing architecture in the nineteenth century : buildings and society in the modern age

Table of Contents: “…'The pressing public want of the age': The arrival of the grand hotel'Bitter competition in the London hotel world': The problem of publicity; 'A wealthy man's private mansion': The assurance of exclusivity; The 'spirit of the time': Cosmopolitanism and heterosociability; Conclusion; Chapter 10: 'The fullest fountain of advancing civilization': Experiencing Anthony Trollope's House of Commons, 1852-82; Experiences of Parliament; Progressive architecture; A political theatre; Conclusion: Reading experiences.…”
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Mathematical Logic in Asia : Proceedings of the 9th Asian Logic Conference. by Goncharov, S. S.

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Artificial intelligence research and development : recent advances and applications

Table of Contents: “…Title Page -- Preface -- Conference Organization -- Contents -- Machine Learning -- Approximate Policy Iteration with Bellman Residuals Minimization -- A Randomized Algorithm for Exact Transduction -- Comparing Feature-Based and Distance-Based Representations for Classification Similarity Learning -- Computer Vision I -- Bag-of-Tracklets for Person Tracking in Life-Logging Data -- Improving Autonomous Underwater Grasp Specification Using Primitive Shape Fitting in Point Clouds -- Emotions Classification Using Facial Action Units Recognition…”
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Data Science : The Executive Summary - a Technical Book for Non-Technical Professionals. by Cady, Field

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Business Hack : the Wealth Dragon Way to Build a Successful Business in the Digital Age. by Lee, John

Table of Contents: “…Out with the Old, in with the NewThe AI Revolution; Think Laterally; Who Wants to Live Forever?; Who's the Expert Now?; Which Future?…”
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Frontiers of Artificial Intelligence in Medical Imaging. by Razmjooy, Navid

Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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Electronic engineering and information science : selected, peer reviewed papers from the 2014 International Conference on Electronic Engineering and Information Science (ICEEIS 201...

Table of Contents: “…Flatness Improvement of FRA with Multi-Wavelength PumpChapter 2: Information Science and Information Technologies; Semantic Feature Modeling Based on the Decomposition of Feature Dependent Graph; Word Sense Disambiguation for Improving the Quality of Machine Translation; Word Sense Disambiguation Based on Center Window; Nipdroid: An Enhanced Detection Mechanism for Android IPC; A Novel XML Document Retrieval Method; Selecting Filter Range of Hybrid Brain-Computer Interfaces by Mutual Information; A New Quadtree-Based Skyline Query Algorithm…”
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