Search Results - (((((((kant OR want) OR semantic) OR kind) OR cantor) OR anne) OR blaney) OR hints) algorithms.

Mastering machine learning with scikit-learn : learn to implement and evaluate machine learning solutions with scikit-learn by Hackeling, Gavin

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Machine learning : a Bayesian and optimization perspective by Theodoridis, Sergios, 1951-

Table of Contents: “…Probability and stochastic processes -- Learning in parametric modeling: basic concepts and directions -- Mean-square error linear estimation -- Stochastic gradient descent: the LMS algorithm -- The least-squares family -- Classification: a tour of the classics -- Parameter learning: a convex analytic path -- Sparsity-aware learning: concepts and theoretical foundations -- Sparcity-aware learning: algorithms and applications -- Learning in reproducing Kernel Hilbert spaces -- Bayesian learning: inference and the EM alogrithm -- Bayesian learning: approximate inference and nonparametric models -- Monte Carlo methods -- Probabilistic graphical models: Part I -- Probabilistic graphical models: Part II -- Particle filtering -- Neural networks and deep learning -- Dimensionality reduction -- Appendix A LInear algebra -- Appendix B Probability theory and statistics -- Appendix C Hints on constrained optimization.…”
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Modeling Reality : How Computers Mirror Life. by Białynicki-Birula, Iwo

Table of Contents: “…Contents; 1 From building blocks to computers: Models and modeling; 2 The game of life: A legendary cellular automaton; 3 Heads or tails: Probability of an event; 4 Galton's board: Probability and statistics; 5 Twenty questions: Probability and information; 6 Snowflakes: The evolution of dynamical systems; 7 The Lorenz butterfly: Deterministic chaos; 8 From Cantor to Mandelbrot: Self-similarity and fractals; 9 Typing monkeys: Statistical linguistics; 10 The bridges of Königsberg: Graph theory; 11 Prisoner's dilemma: Game theory; 12 Let the best man win: Genetic algorithms.…”
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Equity in Instructional Technologies by Watulak, Sarah Lohnes

Table of Contents: “…Covers; Editorial advisory board; Guest editorial; Learning to fall forward; Critical literacy in #DigitalActivism: collaborative choice and action; What kind of (digital) citizen?; Equity-oriented design in open education; Scratching the coding surface: tackling algorithms for inclusion and learning…”
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Stochastic Methods for Boundary Value Problems : Numerics for High-dimensional PDEs and Applications. by Sabelfeld, Karl K.

Table of Contents: “…2.4 Asymptotically unbiased estimators based on singular approximations 2.5 Integral equation of the first kind ; 3 Random walk-on-boundary algorithms for the Laplace equation ; 3.1 Newton potentials and boundary integral equations of the electrostatics.…”
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F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

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Advances in intelligent IT : active media technology 2006

Table of Contents: “…Title page; Preface; Organization; Contents; Keynotes; Active Media Technologies (AMT) from the Standpoint of the Wisdom Web; Anytime Learning and Classification for Online Applications; Domain-Driven Data Mining: Methodologies and Applications; Regular Papers; Web Service Request Transformatter; A Head-Tracker Based on the Lucas-Kanade Optical Flow Algorithm; A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System; Intelligent Decision Making with the Semantic Web; Relevence Assessment of Topic Ontology; Information Extraction from a Whole Web Site.…”
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Numerical solution of variational inequalities by adaptive finite elements by Suttmeier, Franz-Theo

Table of Contents: “…Models in elasto-plasticity -- The dual-weighted-residual method -- Extensions to stabilised schemes -- Obstacle problem -- Signorini's problem -- Strang's problem -- General concept -- Lagrangian formalism -- Obstacle problem revisited -- Variational inequalities of second kind -- Time-dependent problems -- Applications -- Iterative Algorithms -- Conclusion.…”
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Mastering D3.js. by Castillo, Pablo Navarro

Table of Contents: “…Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Data Visualization; Defining data visualization; Some kinds of data visualizations; Infographics; Exploratory visualizations; Dashboards; Learning about data visualization; Introducing the D3 library; Summary; Chapter 2: Reusable Charts; Creating reusable charts; Creating elements with D3; Binding data; Encapsulating the creation of elements; Creating the svg element; The barcode chart; Accessor methods; Chart initialization; Adding data; Adding the date accessor function.…”
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What intelligence tests miss : the psychology of rational thought by Stanovich, Keith E., 1950-

Table of Contents: “…Inside George W. Bush's mind : hints at what IQ tests miss -- Dysrationalia : separating rationality and intelligence -- The reflective mind, the algorithmic mind, and the autonomous mind -- Cutting intelligence down to size -- Why intelligent people doing foolish things is no surprise -- The cognitive miser : ways to avoid thinking -- Framing and the cognitive miser -- Myside processing : heads I win, tails I win too! …”
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Intelligent Technologies : From Theory to Applications - The New Trends in Computational Intelligence. by Kvasnicka, V.

Table of Contents: “…Neural Networks; Superconvergence Concept in Machine Learning; Application of the Parallel Population Learning Algorithm to Training Feed-forward ANN; Markovian Architectural Bias of Recurrent Neural Networks; SOFM Training Speedup; Generalized Forecasting Sigma-Pi Neural Network; Human Centered Intelligent Robots Using "Ontological Neural Network"; Trajectory Bounds of Solutions of Delayed Cellular Neural Networks Differential Systems; From Plain to Modular Topology: Automatic Modularization of Structured ANNs.…”
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Handbook of Mathematical Induction. by Gunderson, David S.

Table of Contents: “…Chapter 14: Logic and languageChapter 15: Graphs; Chapter 16: Recursion and algorithms; Chapter 17: Games and recreations; Chapter 18: Relations and functions; Chapter 19: Linear and abstract algebra; Chapter 20: Geometry; Chapter 21: Ramsey theory; Chapter 22: Probability and statistics; Part III: Solutions and hints to exercises; Chapter 23: Solutions: Foundations; Chapter 24: Solutions: Inductive techniques applied to the infinite; Chapter 25: Solutions: Paradoxes and sophisms; Chapter 26: Solutions: Empirical induction; Chapter 27: Solutions: Identities.…”
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Mathematical Methods in Interdisciplinary Sciences. by Chakraverty, Snehashish

Table of Contents: “…1.2.2.1 Architecture of Single-Layer LgNN Model -- 1.2.2.2 Training Algorithm of Laguerre Neural Network (LgNN) -- 1.2.2.3 Gradient Computation of LgNN -- 1.3 Methodology for Solving a System of Fredholm Integral Equations of Second Kind -- 1.3.1 Algorithm -- 1.4 Numerical Examples and Discussion -- 1.4.1 Differential Equations and Applications -- 1.4.2 Integral Equations -- 1.5 Conclusion -- References -- Chapter 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Description…”
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Artificial intelligence : approaches, tools, and applications

Table of Contents: “…EVOLUTIONARY COMPUTING ; 2.1. Genetic Algorithms ; 2.2. Mechanism of a Genetic Algorithm ; 3. …”
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Cybernetic intelligent systems

Table of Contents: “…Cover ; Editorial advisory board ; Editorial ; Guest editorial ; HDR imaging for feature tracking in challenging visibility scenes ; A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data ; Coarticulation and speech synchronization in MPEG-4 based facial animation ; Semantic Category theory and Semantic Intertwine: the anathema of mathematics ; Tracking progress of African Peer Review Mechanism (APRM) using fuzzy comprehensive evaluation method.…”
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Text mining : applications and theory

Table of Contents: “…Automatic Keyword Extraction from Individual Documents / Stuart Rose, Dave Engel, Nick Cramer, Wendy Cowley -- Algebraic Techniques for Multilingual Document Clustering / Brett W Bader, Peter A Chew -- Content-Based Spam Email Classification using Machine-Learning Algorithms / Eric P Jiang -- Utilizing Nonnegative Matrix Factorization for Email Classification Problems / Andreas G K Janecek, Wilfried N Gansterer -- Constrained Clustering with -means Type Algorithms / Ziqiu Su, Jacob Kogan, Charles Nicholas -- Anomaly and Trend Detection. …”
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Advances in scalable web information integration and service : proceedings of DASFAA2007, Bangkok, Thailand, 9-12 April 2007

Table of Contents: “…Invited session. Using semantics in XML data management / Tok Wang Ling and Gillian Dobbie. …”
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Information modelling and knowledge bases XXX

Table of Contents: “…Intro; Title Page; Preface; Committees; Contents; Goal-Oriented Adaptive and Extensible Study-Process Creation with Optimal Cyclic-Learning in Graph-Structured Knowledge; A Process Calculus for Design and Modeling of Retro-Synthesis; The Discrete-Event Approach to Simulate Stochastic Multi-Product (r, Q) Inventory Control Systems; A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing; Cultures in Information Systems Development; Clutter Reduction in Parallel Coordinates Using Aesthetic Criteria; Toward Manageable Data Sources…”
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Advanced Printing and Packaging Materials and Technologies

Table of Contents: “…Research on Multi-Color Separation Model Based on Polynomial Regression; Accuracy Comparison of Application of Two Kinds of Cellular Neugebauer Models on Multicolor Separation; A Color Management Solution for Mobile Terminal Based on ICC Mechanism; A Scan-Digitizing Algorithm of the Printed Original Based on Use of Near-Neutral Scales; A LCD Color Calibration Model Based on Gamut-Division Algorithm; Research on Color Reproduction on the Internet Based on Profile Embedding; A Gamut Compression Algorithm Based on the Image Spatial Characteristics.…”
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Insight into Theoretical and Applied Informatics : Introduction to Information Technologies and Computer Science. by Yatsko, Andrzej

Table of Contents: “…1.2.7 Informatics and Economics1.3 Information Theory; 1.3.1 Quantities of Information; 1.3.1.1 Units for Measuring Computer Information; 1.3.1.2 Quantities of Information in Information Theory; 1.3.2 Coding Theory; 1.3.3 Semiotics; 1.3.3.1 Computational Semiotics; 2 Algorithmics; 2.1 The Science of Algorithms; 2.1.1 Algorithm Design; 2.1.2 Algorithmic Complexity Theory; 2.1.3 Algorithm Analysis; 2.2 Data Science (Datalogy); 2.2.1 Raw Data; 2.2.2 Data Structures; 2.2.3 Data Analysis (Data Analytics); 2.2.4 Data Mining; 3 Computer Programming; 3.1 Computer Programming Languages.…”
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