Search Results - Learning with errors

Know the risk. Learning from errors and accidents. Safety and risk in today's technology / by Duffey, Romney Beecher

How Could This Happen? Managing Errors in Organizations /

Table of Contents: “…1 Fast, Slow, and Pause: Understanding Error Management via a Temporal Lens -- 2 Errors and Learning for Safety: Creating Uncertainty As an Underlying Mechanism -- 3 When Silence is not Golden -- 4 Executive Perspectives on Strategic Error Management -- 5 The Strategic Imperative of Psychological Safety and Organizational Error Management -- 6 Learning Failures As the Ultimate Root Causes of Accidents -- 7Understanding Safety Management through Strategic Design, Political, and Cultural Approaches -- 8 Errors and Error Management in Biomedical Research -- 9 Empowerment -- 10 Open Error Communication in a High-consequence Industry -- 11 Confidence and Humility -- 12 Just Culture -- 13 Error Management in the German Armed Forces' Military Aviation -- 14 Crew Resource Management Revisited -- 15 Error Reporting and Crew Resource Management in the Israeli Airforce -- 16 Lessons from a Nuclear Submarine Mishap -- 17 The War on Error - A New and Different Approach to Human Performance.…”

Applied Deep Learning A Case-Based Approach to Understanding Deep Neural Networks / by Michelucci, Umberto

Dynamic Learning Spaces in Education

Table of Contents: “…Errors as Learning Opportunities: Cases from Mathematics Teaching Learning Alprata Ahuja -- 8. …”

Self-Learning Optimal Control of Nonlinear Systems Adaptive Dynamic Programming Approach / by Wei, Qinglai

Table of Contents: “…Discrete-Time Optimal Control of Nonlinear Systems Via Value Iteration-Based Q-Learning -- Chapter 4. A Novel Policy Iteration Based Deterministic Q-Learning for Discrete-Time Nonlinear Systems -- Chapter 5. …”

Navigating the Changing Landscape of Formal and Informal Science Learning Opportunities

Table of Contents: “…Dierking -- Pregnant Pauses: Science Mueseums, Schools and a controversial exhibition, Erminia Pedretti & Ana Maria Navas-Iannini -- Encounters with a narwhal: revitalising science education's capacity to affect and be affected, Steve Alsop & Justin Dillon -- Communicating science, Sue Stocklmayer -- Reinvigorating primary school science through school-community partnerships, Kathy Smith, Angela Fitzgerald, Suzanne Deefholts, Sue Jackson, Nicole Sadler, Alan Smith & Simon Lindsay -- Natural disasters as unique socioscientific events: Curricular responses to the New Zealand earthquakes, Léonie Rennie, John Wallace & Grady Venville -- The challenges and opportunities for embracing complex socio-scientific issues as important in learning science: the Murray-Darling River Basin as an example, Peter Fensham Jasper Montana -- Outreach Education: Enhancing the possibilities for every student to learn science, Debra Panizzon, Greg Lancaster & Deborah Corrigan -- Using a digital platform to mediate intentional and incidental science learning, Cathy Buntting, Alister Jones & Bronwen Cowie -- "Meet the Scientist": How pre-service teachers constructed knowledge and identities, Gillian Kidman & Karen Marangio -- Trial-and-error, Googling and talk: Engineering students taking initiative out of class, Elaine Khoo & Bronwen Cowie -- Index.…”

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Table of Contents: “…Content -- -- Part(1) Swarm intelligence and optimzation -- A Hybrid Grey Wolf-Bat Algorithm for Global Optimization -- Fractional Order Sliding Mode PID Controller/Observer for Continuous Nonlinear Switched Systems with PSO Parameter Tuning -- Modified Optimal Foraging Algorithm for Parameters Optimization of Support Vector Machine -- Pareto based Bat Algorithm for Multi Objectives Multiple Constraints Optimization in GMPLS Networks -- Fish Image Segmentation using Salp Swarm Algorithm -- Swarming behaviors of chicken for predicting posts on Facebook branding pages -- Enhancing AGDE algorithm using population size reduction for global numerical optimization -- Simulated Annealing based Quantum Inspired Automatic Clustering Technique -- Hybrid grasshopper optimization algorithm and support vector machines for automatic seizure detection in EEG Signals -- A Novel Genetic Algorithm Based k-means Algorithm for Cluster Analysis -- Pairwise Global Sequence Alignment using Sine-Cosine Optimization Algorithm -- An automated fish species identification system based on crow search algorithm -- Part(2) Fuzzy Logic and applications -- Design and implementation of Fuzzy PID controller into Multi agent Smart Library System Prototype -- Fuzzy Logic controller with color vision system tracking for mobile manipulator robot -- Interactive Fuzzy Cellular Automata for Fast Person Re-Identification -- Decision Support System for Determination of Forces Applied in Orthodontic based on Fuzzy Logic -- Part (3) Advanced Machine Learning and Applications -- Behaviorally-Based Textual Similarity Engine for Matching Job-Seekers with Jobs -- Machine Learning: A Convergence of Emerging Technologies in Computing -- Discrimination of Satellite Signals from Opencast Mining of Mineral Ores of Hematite and Uranium using Digital Image Processing and Geostatistical Algorithms -- Detecting Cross-Site Scripting Attacks using Machine Learning -- Text Mining Approach to Extract Associations between Obesity and Arabic Herbal Plants -- A Reinforcement Learning-based Adaptive Learning System -- Performance Evaluation of SVM-Based Amazighe Named Entity Recognition -- Trained Neural Networks Ensembles Weight Connections Analysis -- An Empirical Analysis of User Behavior for P2P IPTV Workloads -- Intelligent Decision Framework to Explore And control Infection Of Hepatitis C Virus -- Supervised Rainfall Learning Model using Machine Learning Algorithms -- Reducing Stage Weight Estimation Error of Slow Task Detection in MapReduce Scheduling -- Analysis of Complete-Link Clustering for Identifying Multi-attributes Software Quality Data -- Student Profile in E-learning Environment Based on Two-Dimensional Ontologies -- Comparative Sentiment Analysis on a Set of Movie Reviews using Deep Learning Approach -- Medical Equipment Failure Rate Analysis Using Supervised Machine Learning -- Part(4) Big data and classification -- Big-Data Aggregating, Linking, Integrating and Representing using Semantic Web Technologies -- Computer Aided Diagnostic System for Automatic Detection of Brain Tumor through MRI Using Clustering Based Segmentation Technique and SVM Classifier -- Feature selection using Genetic algorithm for big data -- Prediction of Liver Diseases Based on Machine Learning Technique for Big Data -- Stance Detection in Tweets Using a Majority Vote Classifier -- A Comparative Study of Classification Methods for Flash Memory Error Rate Prediction -- Opinion extraction and classification of real time YouTube cooking recipes comments -- A Framework for Big Data Analysis in Smart Cities -- Performance Enhancement of Distributed Clustering for Big Data Analytics -- Open Circuit Fault Diagnosis of Cascaded H-Bridge MLI using k-NN Classifier based on PPCA -- Improved Production Key Performance Indicators (KPI's) Using Intelligent-Manufacturing Execution Systems (I-MES) -- Improving Land-Cover and Crop-Types Classification of Sentinel-2 Satellite Images -- GPU-based CAPSO with N-Dimension Particles -- Machine Learning and Big Data Processing: A Technological Perspective and Review -- Harnessing the power of Big Data in Science -- Building Online Social Network Dataset for Arabic Text Classification -- Breast Cancer Detection and Classification using Thermography: A Review -- An Optimized K-Nearest Neighbor Algorithm for Extending Wireless Sensor Network Lifetime -- Efficient Sentiment Analysis Approach Using Feature Selection and Classifier Ensemble -- Part(5) Intelligent Systems and Applications -- Development of an Ontology Based Solution for Energy Saving Through a Smart Home in the City of Adrar in Algeria -- Embeddings of Categorical Variables for Sequential Data in Fraud Context -- Hybrid Information Filtering Engine for Personalized Job Recommender System -- Behaviorally-Based Textual Similarity Engine for Matching Job-Seekers with Jobs -- Adaptive Task Scheduling on Multicore Processors -- PFastNCA: Parallel Fast Network Component Analysis for gene regulatory network -- Robots That Can Mix Serious With Fun -- Dialect versus MSA Sentiment Analysis -- Energy Aware Optimized Hierarchical Routing Technique for Wireless Sensor Networks -- Multi-filter Score-level Fusion for Fingerprint Verification -- Color Image Segmentation of Fishes with Complex Background in Water -- Analysis of Credit Risk Prediction using ARSkNN -- Dental Age Estimation in East Asian Population with Least Squares Regression -- Text Mining Approach to Analyse Stock Market Movement -- Stock Market Real Time Recommender Model Using Apache Spark Framework -- Patient Fingerprint Minutiae based Medical Image Watermarking and Adaptive Integrity -- Toward a Secure and Robust Medical Image Watermarking in Untrusted Environment -- Gray matter volume abnormalities in the reward system in first-episode patients with major depressive disorder .…”

Time Series Econometrics Learning Through Replication / by Levendis, John D.

Make Your Own Python Text Adventure A Guide to Learning Programming / by Johnson, Phillip

Bad Programming Practices 101 Become a Better Coder by Learning How (Not) to Program / by Beecher, Karl

Big Data Analytics Methods : Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing / by Ghavami, Peter

MATLAB blues : how behavioral scientists and others can learn from mistakes for better, happier programming / by Rosenbaum, David A.

Foundations of Trusted Autonomy

Table of Contents: “…Foundations of Trusted Autonomy -- Foundations of Trusted Autonomy: An Introduction -- Goal Reasoning and Trusted Autonomy -- Social planning for Trusted Autonomy -- The Blessing and Curse of Emergence in Swarm Intelligence Systems -- Trustworthiness of Autonomous Systems -- Learning to Shape Errors with a Confusion Objective -- Future Trusted Autonomous Space Scenarios -- An Autonomy Interrogative.…”

Diagnostic Competence of Mathematics Teachers Unpacking a Complex Construct in Teacher Education and Teacher Practice /

Table of Contents: “…Diagnostic Competence for Dealing with Students' errors - Fostering Diagnostic Competence in Error Situations -- 5. …”

Computational Science/Intelligence and Applied Informatics

Table of Contents: “…Proposed Framework Application for a Quality Mobile Application Measurement and Evaluation -- Proposal and Development of Artificial Personality (AP) application using the "Requesting" Mechanism -- Load Experiment of the vDACS Scheme in case of the 300 Simultaneous Connection -- Hearing-Dog Robot to wake People up using its Bumping Action -- Implementation of Document Production Support System with Obsession Mechanism -- Detecting Outliners in Terms of Errors in Embedded Software Development Projects Using Imbalance Data Classification -- Development of Congestion State Guiding System for University Cafeteria -- Analog Learning Neural Circuit with Switched Capacitor and the Design of Deep Learning Model -- Study on Category Classification of Conversation Document in Psychological Counseling with Machine Learning -- Improvement of "Multiple Sightseeing Spot Scheduling System" -- Advertising in the Webtoon of Cosmetics Brand -Focusing on 'tn' Youth Cosmetics Brands -- Testing Driven Development of Mobile Application using Automatic Bug Management Systems -- Shape Recovery of Polyp from Endoscope Image Using Blood Vessel Information -- Design of Agent Development Framework for RoboCupRescue Simulation.…”

Modern API Design with ASP.NET Core 2 Building Cross-Platform Back-End Systems / by Reynders, Fanie

Mixed-Effects Regression Models in Linguistics

Table of Contents: “…Mixed Models with Emphasis on Large Data Sets -- Chapter 3. The L2 Impact on Learning L3 Dutch: The L2 Distance Effect Job -- Chapter 4. …”

MySQL Connector/Python Revealed SQL and NoSQL Data Storage Using MySQL for Python Programmers / by Krogh, Jesper Wisborg

Time Series Analysis and Forecasting Selected Contributions from ITISE 2017 /

Table of Contents: “…Preface -- Advanced Mathematical Methodologies in Time Series -- Forecasting via Fokker-Planck using conditional probabilities -- Cryptanalysis of a Random Number Generator Based on a Chaotic Ring Oscillator -- Further Results on Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors -- A New Estimation Technique for AR(1) Model with Long-tailed Symmetric Innovations -- Prediction of High-Dimensional Time Series with Exogenous Variables Using Generalized Koopman Operator Framework in Reproducing Kernel Hilbert Space -- Eigenvalues distribution limit of covariance matrices with AR processes entries -- Computational Intelligence Methods for Time Series -- Deep Learning for Detection of BGP Anomalies -- Using Scaling Methods to Improve Support Vector Regression's Performance for Travel Time and Traffic Volume Predictions -- Dimensionality Reduction and Similarity Measures in Time Series -- Linear Trend Filtering via Adaptive Lasso -- Detecting Discords in Quasi Periodic Time-series Data - A Case Study with Electrocardiogram Data -- Similarity Analysis of Time Interval Data Sets - A Graph Theory Approach -- Logical Comparison Measures in Classification of Data -- Econometric Models -- Asymptotic and Bootstrap Tests For a Change in Autoregression Omitting Variability Estimation -- Distance Between VARMA Models and its Application to Spatial Differences Analysis in the Relationship GDP - Unemployment Growth Rate in Europe -- Copulas for Modeling the Relationship between the Inflation and the Exchange Rates -- Energy Time Series Forecasting -- Fuel Consumption Estimation for Climbing Phase -- Time Series Optimization for Energy Prediction in Wi-Fi Infrastructures -- An econometric analysis of the merit order effect in electricity spot price: the Germany case -- Forecasting in Real Problems -- The analysis of variability of short data sets based on Mahalanobis distance calculation and surrogate time series testing -- On generalized additive models with dependent time series covariates -- A Bayesian Approach to Astronomical Time Delay Estimations -- Further Results on a Modified EM Algorithm for Parameter Estimation in Linear Models with Time-Dependent Autoregressive and t-Distributed Errors. .…”

China Satellite Navigation Conference (CSNC) 2018 Proceedings Volume II /