Search Results - (((((((kant OR win) OR mantis) OR mind) OR cantor) OR anne) OR shared) OR hints) algorithms.

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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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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Eat, cook, grow : mixing human-computer interactions with human-food interactions

Table of Contents: “…"You don't have to be a gardener to do urban agriculture": understanding opportunities for designing interactive technologies to support urban food production / William Odom -- Augmented agriculture, algorithms, aerospace, and alimentary architectures / Jordan Geiger -- The allure of provenance: tracing food through user-generated production information / Ann Light -- Beyond gardening: a new approach to HCI and urban agriculture / Tad Hirsch -- Hungry for data: metabolic interaction from farm to fork to phenotype / Marc Tuters and Denisa Kera -- Food futures: three provocations to challenge HCI interventions / Greg Hearn and David Lindsay Wright -- Bringing technology to the dining table / Charles Spence -- List of recipes.…”
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Introduction to identity-based encryption by Martin, Luther

Table of Contents: “…Introduction -- Basic mathematical concepts and properties -- Properties of elliptic curves -- Divisors and the Tate pairing -- Cryptography and computational complexity -- Related cryptographic algorithms -- The Cocks IBE scheme -- Boneh-Franklin IBE -- Boneh-Boyen IBE -- Sakai-Kasahara IBE -- Hierarchial IBE and master secret sharing -- Calculating pairings.…”
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Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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Artificial Intelligence and Machine Learning Fundamentals : Develop Real-World Applications Powered by the Latest AI Advances. by Nagy, Zsolt

Table of Contents: “…Optimizing the Minmax Algorithm with Alpha-Beta PruningDRYing up the Minmax Algorithm -- The NegaMax Algorithm; Using the EasyAI Library; Activity 4: Connect Four; Summary; Regression; Introduction; Linear Regression with One Variable; What Is Regression?…”
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Media smart : lessons, tips and strategies for librarians, classroom instructors and other information professionals by Burkhardt, Joanna M.

Table of Contents: “…Words matter -- Propaganda -- Satire -- Advertising -- Public trust in journalism -- 7. Algorithms, Bots, Trolls, Cyborgs and Artificial Intelligence -- Algorithms -- Bots, trolls, cyborgs and other inauthentic activity -- 8. …”
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Artificial Intelligence in Semiconductor Industry - Materials to Applications. by Wee, Hui-Ming

Table of Contents: “…Cover -- Guest editorial -- Efficient VLSI architecture for FIR filter design using modified differential evolution ant colony optimization algorithm -- Optimized DA-reconfigurable FIR filters for software defined radio channelizer applications -- Grid -- connected operation and performance of hybrid DG having PV and PEMFC -- High speed data encryption technique with optimized memory based RSA algorithm for communications -- A 10-bit 200 MS/s pipelined ADCwith parallel sampling and switched op-amp sharing technique…”
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Code halos : how the digital lives of people, things, and organizations are changing the rules of business by Frank, Malcolm

Table of Contents: “…The "Skinterface" Will Change the Consumer ExperienceIndustrial Amplifiers: Harnessing the Power of the Internet of Things; Smart Appliances Become Amplifiers in the Home; The Application Interface: Window to a Beautiful Experience; The Algorithm: Data Becomes Meaning; Facebook's EdgeRank Algorithm Makes It Personal; Successful Algorithms Power Code Connections and Create Insight; All Data, Great and Small; Netflix Lassos Data to Win in the Market; New Business Models Showcase Code Halo Value; Why Didn't They Tune in the Zune?…”
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Agent-based computing

Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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The Origins of Knowledge and Imagination. by Bronowski, Jacob

Table of Contents: “…Cover; Contents; Foreword; 1. The Mind as an Instrument for Understanding; 2. The Evolution and Power of Symbolic Language; 3. …”
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Advances in Knowledge-Based and Intelligent Engineering and Information Systems by Frydman, Claudia

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Blockchain-based peer-to-peer transactions in energy systems by Nwulu, Nnamdi, Damisa, Uyikumhe

Table of Contents: “…Smart contract-based peer-to-peer energy storage-sharing architecture and algorithm -- 8.3. Smart contract functions for the storage-sharing scheme -- 8.4. …”
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Remixthebook by Amerika, Mark

Table of Contents: “…Source material everywhere (the Alfred North Whitehead remix) -- Mind bank network (the Allen Ginsberg remix) -- Artist, medium, instrument (the Nam June Paik remix) -- The renewable tradition (extended play remix) -- Why video games suck (the Ad Reinhardt remix) -- Mark Amerika nature photography (studio remix) -- Situationist comedy (alternative laugh track remix) -- Premonition algorithm (the big kahuna remix).…”
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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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Future Farming. by Shukla, Praveen Kumar

Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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Rough fuzzy image analysis : foundations and methodologies

Table of Contents: “…1. Cantor, fuzzy, near, and rough sets in image analysis / James F. …”
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Applied Parallel Computing. by Deng, Yuefan

Table of Contents: “…Design of Algorithms; 5.1. Algorithm Models; 5.1.1. Master-slave; 5.1.2. …”
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Biological systematics : principles and applications by Brower, Andrew V. Z. (Andrew Van Zandt), 1962-, Schuh, Randall T.

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Multi-label dimensionality reduction by Liang Sun

Table of Contents: “…Cover; Series; Contents; Preface; Symbol Description; Chapter 1: Introduction; Chapter 2: Partial Least Squares; Chapter 3: Canonical Correlation Analysis; Chapter 4: Hypergraph Spectral Learning; Chapter 5: A Scalable Two-Stage Approach for Dimensionality Reduction; Chapter 6: A Shared-Subspace Learning Framework; Chapter 7: Joint Dimensionality Reduction and Classification; Chapter 8: Nonlinear Dimensionality Reduction: Algorithms and Applications; Appendix Proofs; References; Back Cover.…”
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