Search Results - (((((((ant OR cantion) OR span) OR wants) OR cantor) OR anne) OR carter) OR wanting) algorithms.

Medical and Care Compunetics 2 : Medical and Care Compunetics 2. by Bos, L.

Full text (MFA users only)

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…”
Full text (MFA users only)

Comorbidity in migraine

Full text (MFA users only)

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

Full text (MFA users only)

Principles of data integration by Doan, AnHai

Full text (MFA users only)

Topographical Tools for Filtering and Segmentation 2 : Flooding and Marker-Based Segmentation on Node- or Edge-weighted Graphs. by Meyer, Fernand

Full text (MFA users only)

Anaphora Resolution. by Mitkov, Ruslan

Table of Contents: “…4.1 Early work in anaphora resolution4.2 Student; 4.3 Shrdlu; 4.4 Lunar; 4.5 Hobbs's naïve approach; 4.5.1 The algorithm; 4.5.2 Evaluation of Hobbs' s algorithm; 4.6 The BFP algorithm; 4.7 Carter's shallow processing approach; 4.8 Rich and LuperFoy's distributed architecture; 4.9 Carbonell and Brown's multi-strategy approach; 4.10 Other work; 4.11 Summary; Chapter Five: The present: knowledge-poor and corpus-based approaches in the 1990s and beyond; 5.1 Main trends in recent anaphora resolution research; 5.2 Collocation patterns-based approach; 5.3 Lappin and Leass's algorithm; 5.3.1 Overview.…”
Full text (MFA users only)

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?…”
Full text (MFA users only)

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

Full text (MFA users only)

Optical networks and components : fundamentals and advances. Volume II, Advances in optical networks and components by Sahu, Partha Pratim (Writer on optical networks)

Table of Contents: “…3.2.4 Analysis of ILP -- 3.3 Routing -- 3.3.1 Routing Algorithms -- 3.3.1.1 Dijkstra's Algorithm -- 3.3.1.2 Bellman-Ford Algorithm -- 3.3.2 Routing Approaches -- 3.3.2.1 Fixed Routing -- 3.3.2.2 Fixed-Alternate Routing -- 3.3.2.3 Flooding -- 3.3.2.4 Adaptive Routing -- 3.3.2.5 Fault-Tolerant Routing -- 3.3.2.6 Randomized Routing -- 3.4 WA Subproblem (Heuristics) -- 3.4.1 Wavelength Search Algorithm -- 3.4.1.1 Exhaustive Search -- 3.4.1.2 Tabu Search -- 3.4.1.3 Simulated Annealing -- 3.4.1.4 Genetic Algorithms -- 3.4.2 WA Heuristics -- 3.4.2.1 Random WA (R) -- 3.4.2.2 First-Fit (FF) Approach…”
Full text (MFA users only)

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.…”
Full text (MFA users only)

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.…”
Full text (MFA users only)

Learning Geospatial Analysis with Python - Second Edition. by Lawhead, Joel

Full text (MFA users only)

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. …”
Full text (MFA users only)

Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

Table of Contents: “…Trees and Distance; 2.3. Minimum Spanning Tree; 2.4. Bipartite Graphs; Chapter 3Chordal Graphs; 3.1. …”
Full text (MFA users only)

Learning OpenCV 3 Application Development. by Datta, Samyak

Full text (MFA users only)

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.…”
Full text (MFA users only)

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.…”
Full text (MFA users only)

Microscopic image analysis for life science applications

Full text (MFA users only)

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. …”
Full text (MFA users only)