01121nam--2200349---450-99000325176020331620090522104242.0000325176USA01000325176(ALEPH)000325176USA0100032517620090522d1976----km-y0itay50------baengUSa---||||001yyProbability theory with essential analysisSusan J. Milton and Chris P. TsokosreadingAddison-Wesley1976XIX, 339 p.ill.23 cmApplied mathematics and computationA series of graduate textbooks, monographs, reference works102001Applied mathematics and computation10Probabilità519.2MILTON,Susan J.604324TSOKOS,Chris P.12274ITsalbcISBD990003251760203316519 AMC10163/CBS51900219583BKSCIRSIAV69020090522USA011042Probability theory with essential analysis1119785UNISA02187oam 2200529 450 991070769210332120160914142929.0(CKB)5470000002465613(OCoLC)889716146(EXLCZ)99547000000246561320140901d1994 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierThermal regime of Santa Maria Province, California /by Colin F. Williams [and three others]. Phosphorus geochemistry, diagenesis, and mass balances of the Miocene Monterey Formation at Shell Beach, California / by Gabriel M. Filippelli and Margaret L. Delaney[Reston, Va.] :U.S. Department of the Interior, U.S. Geological Survey,1994.Washington :United States Government Printing Office.1 online resource (v, 25, 11 pages) illustrationsU.S. Geological Survey bulletin ;1995-F,GEvolution of sedimentary basins/onshore oil and gas investigations--Santa Maria Province ;ch. F,GTitle from title screen (viewed Aug. 25, 2014).Includes bibliographical references.Phosphorus geochemistry, diagenesis, and mass balances of the Miocene Monterey Formation at Shell Beach, CaliforniaGeochemistryCaliforniaGeology, StratigraphicMiocenePhosphorus compoundsTerrestrial heat flowCaliforniaSanta Maria BasinMeasurementShell Beach (Pismo Beach, Calif.)Monterey Formation (Calif.)GeochemistryGeology, StratigraphicPhosphorus compounds.Terrestrial heat flowMeasurement.Williams Colin F.80210Filippelli Gabriel M.Delaney Margaret L.Geological Survey (U.S.),COPCOPOCLCOGPOBOOK9910707692103321Thermal regime of Santa Maria Province, California3534729UNINA11129nam 2200565 450 99646444450331620231110231816.03-030-89820-2(CKB)4950000000280570(MiAaPQ)EBC6788038(Au-PeEL)EBL6788038(OCoLC)1281957733(PPN)258296488(EXLCZ)99495000000028057020220713d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in soft computing 20th Mexican international conference on artificial intelligence, MICAI 2021, Mexico City, Mexico, October 25-30, 2021, proceedings, part II /Ildar Batyrshin, Alexander Gelbukh and Grigori SidorovCham, Switzerland :Springer,[2021]©20211 online resource (380 pages)Lecture Notes in Computer Science ;v.130683-030-89819-9 Intro -- Preface -- Conference Organization -- Contents - Part II -- Contents - Part I -- Natural Language Processing Supervised -- Supervised Machine Learning for Automatic Assessment of Free-Text Answers -- 1 Introduction -- 2 Related Work -- 3 Our Methodology -- 4 Experimental Results -- 4.1 RQ1 Coverage: How Many Answers Can Be Automatically Assessed? -- 4.2 RQ2 Accuracy: How Accurate Is the Suggested Assessment? -- 5 Conclusion and Future Work -- References -- Towards Multilingual Image Captioning Models that Can Read -- 1 Introduction -- 2 State of the Art -- 2.1 Summary of the State-of-the-Art -- 3 Data and Methods -- 3.1 TextCaps Dataset -- 3.2 Automatic Translation of TextCaps -- 3.3 M4C-Captioner -- 3.4 Multilingual M4C-Captioner -- 3.5 Experimental Setup -- 4 Results -- 5 Conclusions and Future Work -- 6 Declarations -- References -- Best Paper Award, Second Place -- Question Answering for Visual Navigation in Human-Centered Environments -- 1 Introduction -- 2 Related Works -- 3 HISNav VQA Dataset -- 3.1 Images -- 3.2 Human-Asked Questions -- 3.3 Synthetic Questions -- 3.4 Dataset Analysis -- 4 Vector Semiotic Architecture Baseline -- 5 Experiments -- 5.1 Neural Network Baseline -- 5.2 Vector Semiotic Architecture -- 6 Discussion -- 7 Conclusion -- A Appendix: Data Labeling -- B Appendix: Examples -- References -- Improving a Conversational Speech Recognition System Using Phonetic and Neural Transcript Correction -- 1 Introduction -- 2 Background -- 3 Approach and Implementation -- 4 NLU Preprocessing Module -- 4.1 Phonetic Correction -- 4.2 Neural Classification Module -- 5 Experiments -- 6 Results and Discussion -- 7 Conclusions and Future Work -- References -- Estimation of Imageability Ratings of English Words Using Neural Networks -- 1 Introduction -- 2 Data and Method -- 3 Result -- 4 Result Interpretation -- 5 Conclusion.References -- Hypernyms-Based Topic Discovery Using LDA -- 1 Introduction -- 2 Preliminaries -- 2.1 Latent Dirichlet Allocation -- 2.2 Latent Semantic Analysis -- 2.3 Probabilistic Latent Semantic Analysis -- 2.4 WordNet -- 3 Related Work -- 4 The Proposed Method -- 4.1 Datasets -- 5 Results -- 5.1 Experimental Results -- 6 Conclusions -- References -- Virality Prediction for News Tweets Using RoBERTa -- 1 Introduction -- 2 Related Works -- 3 Our Method -- 3.1 Corpus -- 3.2 Tweet Influence Formula -- 3.3 Method Overview -- 3.4 Method Description -- 4 Results and Discussion -- 4.1 Results -- 4.2 Findings -- 5 Conclusion -- References -- Sentiment Analysis on Twitter About COVID-19 Vaccination in Mexico -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Extraction -- 3.2 Data Transformation and Export Resulting Dataset -- 3.3 Data Labeling -- 3.4 Text Processing and Feature Extraction -- 3.5 Machine Learning Models -- 3.6 Experiments -- 3.7 Machine Learning Model Selection -- 4 Results and Discussion -- 5 Conclusions -- References -- Text-Independent Speaker Identification Using Formants and Convolutional Neural Networks -- 1 Introduction -- 2 Previous Work -- 3 Proposal -- 3.1 Converting Speech Signals into Images Disregarding Time -- 3.2 Convolutional Neural Network (CNN) -- 4 Experiments -- 5 Conclusions and Future Work -- References -- Nahuatl Neural Machine Translation Using Attention Based Architectures: A Comparative Analysis for RNNs and Transformers as a Mobile Application Service -- 1 Introduction -- 2 State of the Art -- 2.1 How Big is Nahuatl? -- 2.2 NMT Related Works -- 2.3 NLP Nahuatl Related Works -- 2.4 Related Nahuatl and Translation Services -- 3 Models Description -- 3.1 Nahuatl -- 3.2 Bi-directional Recurrent Neural Network Plus Attention -- 3.3 Transformer -- 3.4 Bilingual Evaluation Understudy and FuzzyWuzzy.3.5 Axolotl -- 3.6 JW -- 3.7 SentencePiece Tokenization -- 3.8 Main Technologies -- 4 Implementation and Experiments -- 4.1 RNN -- 4.2 Transformer -- 4.3 The Application -- 4.4 Model Evaluation and Comparative -- 4.5 Comparatives Among and with Another Models -- 4.6 Emerging Behaviors -- 5 Conclusions -- 5.1 Future Work -- References -- STClass: A Method for Determining the Sensitivity of Documents -- 1 Introduction -- 2 Related Work -- 3 STClass: Method for Determining the Sensitivity of Documents -- 4 Datasets and Experimental Methodology -- 5 Conclusion -- References -- Plagiarism Detection in Students' Answers Using FP-Growth Algorithm -- 1 Introduction -- 2 Related Works -- 3 Dataset and Features -- 4 Methodology -- 5 Experiment -- 6 Results -- 7 Conclusion -- 8 Future Work -- References -- Determining the Relationship Between the Letters in the Voynich Manuscript Splitting the Text into Parts -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Experiment -- 5 Result -- 6 Conclusion -- References -- Intelligent Applications and Robotics -- The Comparative Approach to Solving Temporal-Constrained Scheduling Problem Under Uncertainty -- 1 Introduction -- 2 Solving the Problem of Network Activity Planning in a Non-fuzzy Formulation -- 3 Solving the Problem of Network Planning in a Probabilistic Formulation -- 4 Solution of the Problem of Network Activity Planning in Fuzzy-Interval Formulation -- 5 Conclusion -- References -- A Tourist Recommendation System: A Study Case in Mexico -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Collaborative-Based Filtering -- 3.3 Demographic-Based Filtering -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Detecting Traces of Self-harm in Social Media: A Simple and Interpretable Approach -- 1 Introduction.2 gSC: A One-Class Approach for Detecting Mental Disorders -- 2.1 Mass Assignment to Users -- 3 Experimental Settings -- 3.1 Dataset -- 3.2 Text Representations -- 3.3 Self-harm Vocabulary for Mass Calculation -- 3.4 Parameters' Tuning -- 4 Results -- 4.1 Error Analysis -- 5 Decision-Making Support Tool -- 6 Conclusions -- References -- Finite-Field Parallel Adder Circuit Over Prime Numbers Based on Spiking Neural P Systems -- 1 Introduction -- 2 An Introduction to the Finite-Field Addition Over GF(p) -- 3 Proposal of a Finite-Field Neural Adder Circuit -- 4 Experiment and Results -- 5 Conclusions and Future Work -- References -- A Rapid HMI Prototyping Based on Personality Traits and AI for Social Connected Thermostats -- 1 Introduction -- 2 Material and Methods -- 2.1 New Dataset Creation as a Result of the Survey -- 3 Methodology -- 3.1 Two-Layer Feed-Forward ANN Classification -- 3.2 Rapid Prototyping Using Arduino UNO and MATLAB/Simulink -- 4 Proposed Framework -- 4.1 Knowledge Base -- 4.2 Decision System -- 4.3 Evaluation -- 5 Results: Arduino Prototype -- 6 Discussion -- 7 Conclusion -- References -- Machine Learning Framework for Antalgic Gait Recognition Based on Human Activity -- 1 Introduction -- 1.1 Related Work -- 1.2 Problem Statement and Solution Proposal -- 1.3 Paper Organization -- 2 Antalgic Gait Recognition Framework -- 2.1 Data Acquisition -- 2.2 Preprocessing -- 2.3 Feature Extraction and Selection -- 2.4 Training Model -- 2.5 Classification -- 3 Results and Discussion -- 4 Conclusions -- References -- A New Approach for the Automatic Connection of Sensors to an IoT Platform -- 1 Introduction -- 2 Background and Related Work -- 2.1 Internet of Things -- 2.2 FIWARE Platform -- 2.3 Related Work -- 3 Overview of Our Approach Proposed -- 4 Our Approach for the Automatic Connection of Sensors to an IoT Platform.4.1 Management Module -- 4.2 Code Generation Module for Communication with FIWARE -- 4.3 Code Generation Module for Capturing Data from Sensors -- 5 Software System for the Automatic Connection of Sensor to FIWARE IoT Platform -- 6 Conclusions and Future Work -- References -- A Hybrid Model for the Prediction of Air Pollutants Concentration, Based on Statistical and Machine Learning Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 AI/ML Methods -- 3 Results -- 3.1 PM10 -- 3.2 PM2.5 -- 3.3 O3 -- 4 Summary and Conclusions -- References -- Mexican Automotive Industry Sales Behavior During the COVID-19 Pandemic -- 1 Introduction -- 2 Related Work -- 3 Description of the Proposal -- 3.1 Exploration of Variables and Data Sources -- 3.2 Model Analysis and Selection -- 3.3 Experimentation -- 4 Results and Discussion -- 5 Conclusions -- References -- Modeling Self-efficacy and Self-regulated Learning in Gamified Learning Environments Through Educational Data Mining -- 1 Introduction -- 2 Data Mining in Education -- 3 ITS and Gamification -- 4 Data-Driven Construction of a Gamified ITS -- 5 Conclusions and Future Work -- References -- Parallelization of the Array Method Using OpenMP -- 1 Introduction -- 1.1 Contributions of the Paper -- 2 Basic Definitions -- 3 Related Works -- 3.1 Parallel Application Design -- 4 Array Method Parallelization Using OpenMP -- 4.1 Arrays of the Array Method -- 5 Results -- 5.1 Experiments to Evaluate the Makespan Metric -- 5.2 Experiments to Evaluate the Waiting Time Metric -- 5.3 Experiments to Evaluate the Quality of Assignments When Experimenting with the Makespan Metric -- 5.4 Time to Search for Resources in the Clusters for the Assignment of Tasks -- 6 Conclusions -- 7 Future Works -- References -- Best Paper Award, Third Place -- Sign Language Translation Using Multi Context Transformer -- 1 Introduction.2 Related Work.Lecture Notes in Computer Science Soft computingSoft computingCongressesArtificial intelligenceSoft computing.Soft computingArtificial intelligence.006.3Batyrshin I. Z(Ilʹdar Zakirzi͡anovich),1250755Sidorov GrigoriGelbukh AlexanderMiAaPQMiAaPQMiAaPQBOOK996464444503316Advances in soft computing2899379UNISA