Search Results - (((((((ant OR manthe) OR kind) OR semantic) OR cantor) OR anne) OR halted) OR ranting) algorithms.

Robotics : science and systems III

Table of Contents: “…Semantic Modeling of Places using Objects / Ananth Ranganathan and Frank Dellaert -- Design of a Bio-inspired Dynamical Vertical Climbing Robot / Jonathan E. …”
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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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Integral equations, boundary value problems and related problems : dedicated to Professor Chien-Ke Lu on the occasion of his 90th birthday : Yinchuan, Ningxia, China, 19-23 August...

Table of Contents: “…Some properties of a kind of singular integral operator for K-monogenic function in Clifford analysis / L.P. …”
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Wireless sensor systems for extreme environments : space, underwater, underground and industrial

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Information assurance : dependability and security in networked systems

Table of Contents: “…Spafford -- Static Decision-making Systems -- Dynamic Decision-making Systems -- Intrusion Tolerance through Diverse Replicas -- Responses to Specific Kinds of Attacks -- Benchmarking Intrusion Response Systems -- Thoughts on Evolution of IRS Technology -- 14. …”
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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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The platform economy and the smart city : technology and the transformation of urban policy

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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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Regression Analysis with Python. by Massaron, Luca, Boschetti, Alberto

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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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Parallel Programming with Python. by Palach, Jan

Table of Contents: “…Advantages and disadvantages of using threadsUnderstanding different kinds of threads; Defining the states of a thread; Choosing between threading and _thread; Using threading to obtain the Fibonacci series term with multiple inputs; Crawling the Web using the concurrent.futures module; Summary; Chapter 5: Using Multiprocessing and ProcessPoolExecutor; Understanding the concept of a process; Understanding the process model; Defining the states of a process; Implementing multiprocessing communication; Using multiprocessing. …”
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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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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. …”

Probability, Finance and Insurance : Proceedings of a Workshop. by Lai, T. L.

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Study on the Long-Term Retention of Selected Scientific and Technical Records of the Federal Government : Working Papers

Table of Contents: “…Characteristics Distinguishing Data in Physics, Chemistry, and Materials Sciences from Data in Field ... The Nature and Kinds of Electronically Recorded Data in Physics, Chemistry, and Materials Sciences -- 3 DATA MANAGEMENT REQUIREMENTS -- Metadata, Algorithms, and References -- Classification -- Locator System -- Speed of Retrieval -- Storage Media -- Data Formats -- 4 ILLUSTRATIVE EXAMPLES OF ELECTRONIC RECORDS FROM PHYSICS, CHEMISTRY, AND MATERIALS SCIENCES -- Original Experimental Records -- Example 1: Atmospheric and Underground Nuclear Weapons Test Results…”
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