Search Results - (((((((ant OR manthe) OR king) OR semantic) OR cantor) OR anne) OR halted) OR granting) algorithms.

Natural Language Processing and Computational Linguistics : a Practical Guide to Text Analysis with Python, Gensim, SpaCy, and Keras. by Srinivasa-Desikan, Bhargav

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Microbiological sensors for the drinking water industry

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Modern development in materials, machinery and automation : selected, peer reviewed papers from the 2013 International Conference on Microtechnology and MEMS (ICMM 2013), May 22-23...

Table of Contents: “…An Adaptive Intra-Frame Refresh Algorithm Based on Rate Distortion OptimizationA New Method for the Optimal Configuration of Ship-Based Aircraft Based on the Extended Backpack; Application of Bayesian for the Situation Assessment of Sea-Battlefield; The Application of Semantic Similarity in Text Classification; The Research of Clock Traffic Congestion Model and Synchronization Technology; Chapter 4: Product Design; Research on Motion Capture Instruments in Sports; A Study of Innovative Product Design for Drinking Cups; A Study of Customized Innovative Self-Portrait Product Design…”
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Methodological and analytic frontiers in lexical research

Table of Contents: “…Behavioral profiles: A fine-grained and quantitative approach in corpus-based lexical semantics (by Gries, Stefan Th.); 5. 5. Using a maze task to track lexical and sentence processing (by Forster, Kenneth I.); 6. 6. …”
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Formal Synthesis of Safety Controller Code for Distributed Controllers. by Missal, Dirk

Table of Contents: “…7.3 Comparison8 Embedding Control Functions in IEC 61499 Function Blocks; 8.1 IEC 61499 Basic Function Blocks; 8.2 Transformation; 8.2.1 Interface; 8.2.2 Algorithms; 8.2.3 Execution Control Chart; 8.3 Use and extension; 9 Conclusions and Outlook; A Appendix.…”
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Informatics and technology in clinical care and public health

Table of Contents: “…Intro -- Title Page -- Preface -- ICIMTH 2021 Scientific Programme Committee and Reviewers -- Contents -- Using Artificial Intelligence to Develop a Lexicon-Based African American Tweet Detection Algorithm to Inform Culturally Sensitive Twitter-Based Social Support Interventions for African American Dementia Caregivers -- A Comparison of Word Embeddings to Study Complications in Neurosurgery -- Gulf Cooperation Council Clinical Trials in the Pursuit of Medications for COVID-19…”
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Mastering D3.js. by Castillo, Pablo Navarro

Table of Contents: “…Updating the datasetFixing the enter and exit transitions; Using the barcode chart; Creating a layout algorithm; The radial layout; Computing the angles; Using the layout; Summary; Chapter 3: Creating Visualizations without SVG; SVG support in the browser market; Visualizations without SVG; Loading and sorting the data; The force layout method; Setting the color and size; Creating a legend; Polyfilling; Feature detection; The canvg example; Using canvas and D3; Creating figures with canvas; Creating shapes; Integrating canvas and D3; Summary; Chapter 4: Creating a Color Picker with D3.…”
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Machine learning for protein subcellular localization prediction by Wan, Shibiao, Mak, M. W.

Table of Contents: “…5.2.2 Problem transformation methods -- 5.2.3 Multi-label classification in bioinformatics -- 5.3 mGOASVM: A predictor for both single- and multi-location proteins -- 5.3.1 Feature extraction -- 5.3.2 Multi-label multiclass SVM classification -- 5.4 AD-SVM: An adaptive decision multi-label predictor -- 5.4.1 Multi-label SVM scoring -- 5.4.2 Adaptive decision for SVM (AD-SVM) -- 5.4.3 Analysis of AD-SVM -- 5.5 mPLR-Loc: A multi-label predictor based on penalized logistic regression -- 5.5.1 Single-label penalized logistic regression -- 5.5.2 Multi-label penalized logistic regression -- 5.5.3 Adaptive decision for LR (mPLR-Loc) -- 5.6 Summary -- 6 Mining deeper on GO for protein subcellular localization -- 6.1 Related work -- 6.2 SS-Loc: Using semantic similarity over GO -- 6.2.1 Semantic similarity measures -- 6.2.2 SS vector construction -- 6.3 HybridGO-Loc: Hybridizing GO frequency and semantic similarity features -- 6.3.1 Hybridization of two GO features -- 6.3.2 Multi-label multiclass SVM classification -- 6.4 Summary -- 7 Ensemble random projection for large-scale predictions -- 7.1 Random projection -- 7.2 RP-SVM: A multi-label classifier with ensemble random projection -- 7.2.1 Ensemble multi-label classifier -- 7.2.2 Multi-label classification -- 7.3 R3P-Loc: A compact predictor based on ridge regression and ensemble random projection -- 7.3.1 Limitation of using current databases -- 7.3.2 Creating compact databases -- 7.3.3 Single-label ridge regression -- 7.3.4 Multi-label ridge regression -- 7.4 Summary -- 8 Experimental setup -- 8.1 Prediction of single-label proteins -- 8.1.1 Datasets construction -- 8.1.2 Performance metrics -- 8.2 Prediction of multi-label proteins -- 8.2.1 Dataset construction -- 8.2.2 Datasets analysis -- 8.2.3 Performance metrics -- 8.3 Statistical evaluation methods -- 8.4 Summary.…”
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The IOC manual of emergency sports medicine

Table of Contents: “…Emergency Care at the Olympic Games / Richard Budgett -- Injury and Illness During the 2008 Summer and the 2010 Winter Olympic Games / Kathrin Steffen, Torbjørn Soligard, Lars Engebretsen -- The Medical Team Response / David McDonagh, David Zideman -- Cardiopulmonary Resuscitation on the Field of Play / Ruth Löllgen, Herbert Löllgen, David Zideman -- Cardiac Emergencies on the Field of Play / Ruth Löllgen, Herbert Löllgen, David Zideman -- Control of Hemorrhage and Infusion Management / Kenneth Wing Cheung Wu, Hiu Fai Ho -- Anaphylaxis / Andy Smith, Jerry Nolan -- Asthma and Respiratory Emergencies / Joseph Cummiskey -- Seizures and Epileptic Emergencies / Geraint Fuller -- Head Injuries / David McDonagh, Mike Loosemore -- Concussion : Onfield and Sideline Evaluation / Paul McCrory, Michael Turner -- Throat Injuries / Jonathan Hanson, Padraig B Sheeran, Brian Carlin, David Zideman -- Facial Injuries / David McDonagh, Mike Loosemore -- Eye Injuries and Other Ocular Emergencies / Sibel Kocabeyoglu, Uğur Erdener, David McDonagh -- Dental Injuries / Paul Piccinini, Anthony Clough -- Thoracic Injuries / David McDonagh, David Zideman -- Abdominal Injuries / David McDonagh, Dara Lundon -- Pelvic Injuries / Andy Smith, João Grangeiro Neto -- Spinal Injuries / Eanna Falvey, Craig Roberts -- Extremity Injuries / Michael R Carmont, David McDonagh -- Aquatic Athlete Injuries and Emergencies / Margo Mountjoy, Saul Marks -- Emergency Care of the Adolescent Athlete / Lisa M Vopat, Lyle J Micheli -- Emergency Medical Care in Paralympic Sports / Peter Van de Vliet, Mike Wilkinson -- Cold Injuries / Ken Zafren, Gordon Giesbrecht, David McDonagh -- Severe Dehydration and Exertional Heat Illness / Eunice M Singletary -- Hypo- and Hyperglycemia / Kathryn E Ackerman, David McDonagh -- Wound Care / David McDonagh, Sally Whitmore -- The Role of the Paramedic on the Field of Play / Mike Nolan, David Whitmore -- The Role of the Physiotherapist on the Field of Play / Mark Brown, Michael Kenihan, Marie-Elaine Grant -- Emergency Medications and Equipment at the Fieldside / Mark Faulkner, Fionna P Moore, David Zideman -- Emergency Medications and the WADA Prohibited List / Alan Vernec, Eduardo de Rose -- Retrieval and Repatriation of Injured and Ill Athletes / Mark Brown, Glenn Brown -- Appendix 1: International Olympic Committee Executive Board -- Appendix 2: Sport-Specific Injury Profile and Equipment Guide -- Appendix 3: Healthcare Professional Skillbase -- Appendix 4: Treatment Algorithms at a Glance.…”
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Role mining in business : taming role-based access control administration by Colantonio, Alessandro

Table of Contents: “…Algorithm description. 12.4. Testing AB[symbol]A. 12.5. …”
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Medical and Care Compunetics 2 : Medical and Care Compunetics 2. by Bos, L.

Table of Contents: “…Standardized Semantic Markup for Reference Terminologies, Thesauri and Coding Systems: Benefits for Distributed E-Health ApplicationsDevelopment of an Expert System for Classification of Medical Errors; Model of Good Practice Tools for Risk Reduction and Clinical Governance; Optimisation Issues of High Throughput Medical Data and Video Streaming Traffic in 3G Wireless Environments; A New Algorithm for Content-Based Region Query in Databases with Medical Images; Economic Impact of Telemedicine: A Survey.…”
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FRBR, before and after : a look at our bibliographic models by Coyle, Karen

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The Johns Hopkins guide to digital media

Table of Contents: “…Berry -- Cognitive implications of new media / Anne Mangen and Jean-Luc Velay -- Collaborative narrative / Scott Rettberg -- Collective intelligence / John Duda -- Combinatory and automatic text generation / Philippe Bootz and Christopher Funkhouser -- Computational linguistics / Inderjeet Mani -- Conceptual writing / Darren Wershler -- Copyright / Benjamin J. …”

JBoss AS 5 Performance Tuning. by Marchioni, Francesco

Table of Contents: “…; The garbage collector algorithms.…”
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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 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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Seismic Data Interpretation using Digital Image Processing by Al-Shuhail, Abdullatif A., Al-Dossary, Saleh A., Mousa, Wail A.

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The silicon jungle : a novel of deception, power, and Internet intrigue by Baluja, Shumeet, 1971-

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Cryptography Apocalypse : Preparing for the Day When Quantum Computing Breaks Today's Crypto. by Grimes, Roger A.

Table of Contents: “…87 -- Is Peter Shor’s Algorithm Real? 88 -- Do We Have Enough Stable Qubits? …”
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Complexity : a guided tour by Mitchell, Melanie (Computer scientist)

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