Search Results - (((((((ant OR dkantis) OR mantis) OR mind) OR cantor) OR anne) OR planet) OR hints) algorithms.

Java programming interviews exposed by Markham, Noel

Table of Contents: “…Chapter 18: Useful LibrariesRemoving Boilerplate Code with Apache Commons; Developing with Guava Collections; Using Joda Time; Summary; Chapter 19: Developing with Build Tools; Building Applications with Maven; Ant; Summary; Chapter 20: Android; Basics; User Interface; Persistence; Android Hardware; Summary; Appendix: Introducing Scala; Scala Basics; Functions as Values; Immutability; Summary; Index.…”
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Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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Applied mechatronics and android robotics : selected, peer reviewed papers from the International Conference on Applied Mechatronics and Android Robotics (ICAMAR 2013), July 13-14,...

Table of Contents: “…Applied Mechatronics and Android Robotics; Preface, Committees and Sponsors; Table of Contents; Chapter 1: Robot Design, Motion Planning and Robot Control; Design of a Master Manipulator with Dynamical Simplification for Master-Slave Robot; Parameter Self-Adjusting Path Tracking Algorithm of Mobile Robots; Global Path Planning for Mobile Robot Based on Improved Ant Colony Algorithms; A Study of Robot Platform Based on WiFi Remote Control; Fire Detection System Based-On Mobile Robots; Phase Plane Analysis of Battery Series Balancing on Robot…”
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The attacker's advantage : turning uncertainty into breakthrough opportunities by Charan, Ram

Table of Contents: “…-- Bends in the road -- Why structural uncertainty is different -- The mathematical corporation : the algorithmic revolution and the rise of the math house -- Searching for early warning signals -- Identifying the catalysts of structural change -- Seeing what catalysts see -- Tools to build perceptual acuity -- How Tata Communications expands the organization's lens -- Defining the path -- A mind-set for offense -- Kaiser Permanente's path through the turmoil in health care -- The joint practice session : transparency and coordination -- How Keurig Green Mountain adopted the joint practice session -- The what, who, and how of decision making : zeroing in on the organization's critical decision nodes -- Steering on two tracks -- Merck's quick organizational turn to offense.…”
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Comorbidity in migraine

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Slantwise moves : games, literature, and social invention in nineteenth-century America by Guerra, Douglas

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Problem-based learning and proprioception by Eberšek, Boris

Table of Contents: “…4.2 Connectionism and symbolic systems4.3 Genetic algorithms; 4.4 Forerunners of connectionism; 4.5 Connectionist networks; 4.6 The dynamic of connectionist; 4.7 Re-emergence the new connectionism; 4.8 Transferring theory into educational practice; 4.9 Conclusion; Chapter Five; 5.1 Exploring consciousness; 5.2 Formalization of consciousness; 5.3 Reality, space and time; 5.4 Quantum consciousness and learning; 5.5 The mind and body problem; 5.6 The computer model of the mind; Chapter Six; 6.1 Some definitions of cybernetics; 6.2 The roots of cybernetics…”
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Neural control engineering : the emerging intersection between control theory and neuroscience by Schiff, Steven J.

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Intelligent materials, applied mechanics and design science : selected, peer reviewed papers from the 2011 international conference on intelligent materials, applied mechanics and...

Table of Contents: “…Intelligent Materials, Applied Mechanics and Design Science; Preface and Committee; Table of Contents; Chapter 1: Intelligent Materials, Energy Science and Dynamic System; Gear Fault Diagnoise Based on Ensemble Empirical Mode Decomposition and Instantaneous Energy Density Spectrum; Numerical Analysis of Nonlinear Behaviors of a Flexible Rotor Dynamic System with Turbulent Journal Bearings Support; Dynamic Path Planning Algorithm Based on Chaos Genetic Vehicle Navigation; The Hybrid Genetic Algorithm of Single-Machine Materials Manufacturing Process with Periodic Maintenance.…”
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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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Advances in digital technologies : proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015

Table of Contents: “…Application of Genetic Algorithms to Context-Sensitive Text MiningA Decision Tree Classification Model for Determining the Location for Solar Power Plant; A Framework for Multi-Label Learning Using Label Ranking and Correlation; A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5; Subject Index; Author Index.…”
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Sentient Enterprise The Evolution of Business Decision-making.

Table of Contents: “…Analytics on Algorithms to Improve Decision MakingCombining Algorithms on the Home Stretch to Sentience; Agility as the Ultimate Litmus Test; Chapter 8 Implementing Your Course to Sentience; Ask the Right Questions, Warts and All; Agile Strategic Planning Is Not an Oxymoron; Adopt a Start-Up Mind-Set and Don't Boil the Ocean; Pick the Right Internal Partners to Demonstrate Value; Embrace Agile Project Management Strategies; Embrace Concurrency, Ensure Scalability; Design in Governance That's Seamless and Repeatable; Optimize a Workforce to Act Fast, Fail Fast, and Scale Fast.…”
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Ghost River by Brings Plenty, Trevino L.

Table of Contents: “…Blood QuantumVicarious and Secondary; The Two; Social Media; Re:; Image Reconstruction; Canoe Journey; The City; Cells; Algorithm Constructed, Coincidence Groomed; Scar; PRN; The Temptations; The Comedian; Simulacra Reconstructive Memory Terapy; Stone; Shame; Ghost River; Back Cover…”
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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Optimization advances in electric power systems

Table of Contents: “…Unreliability Costs -- 3.5. Proposed Algorithms -- 3.5.1. ES and TS Algorithms -- 3.5.2. …”
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Integrated and collaborative product development environment : technologies and implementations by Li, W. D.

Table of Contents: “…Intelligent Optimisation of Process Planning; 5.1 Intelligent Optimisation Strategies for CAPP Systems; 5.2 Knowledge Representation of Process Plans; 5.2.1 Process plan representation; 5.2.2 Machining cost criteria for process plans; 5.2.3 Precedence constraints; 5.3 A Hybrid GA/SA-based Optimisation Method; 5.3.1 Overview of the algorithm; 5.3.2 Genetic algorithm -- phase 1; 5.3.3 Simulated annealing algorithm -- phase 2; 5.3.4 Constraint handling algorithm.…”
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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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Missing link : the evolution of metaphor and the metaphor of evolution by Donaldson, Jeffery, 1960-

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Contagious architecture : computation, aesthetics, and space by Parisi, Luciana

Table of Contents: “…Incomputable Objects in the Age of the Algorithm -- 1.0. Metamodeling -- 1.0.1. Programming the living -- 1.0.2. …”
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Advances in time series forecasting. Volume 2

Table of Contents: “…INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. …”
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