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Agents and artificial intelligence : third International Conference, ICAART 2011, Rome, Italy, January 28-30, 2011. Revised selected papers
Published: Springer, 2013Contents: “…Web Service Composition Plans in OWL-S /…”Description: 1 online resource (xiii, 444 pages) : illustrations (black and white).
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Advanced intelligent computing theories and applications : with aspects of artificial intelligence : 7th international conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011 :...
Published: Springer, 2011Contents: SpringerLink - Click here for accessDescription: 1 online resource (xxiii, 729 pages) : illustrations.
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Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering
Published: Springer, 2013Contents: “…Recovery Time Analysis of a Distributed Redundancy Protocol --…”Description: 1 online resource.
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Smart technologies, systems and applications : first International Conference, SmartTech-IC 2019, Quito, Ecuador, December 2-4, 2019, Proceedings
Published: Springer, 2020Contents: “…4 Results -- 5 Conclusions -- References -- Signal Detection Methods in Cognitive Radio Networks: A Performance Comparison -- 1 Introduction -- 2 Spectrum Detection Techniques Evaluated -- 2.1 Eigen-values Signal Detector -- 2.2 Singular Value Decomposition Detector -- 2.3 Cyclo-stationary Detector -- 3 Implementation and Simulation -- 4 Results -- 5 Conclusions -- References -- Scalable Electrical Distribution Networks Planning for Medium and Low Voltage Considering Capacity on Transformers and Voltage Drop -- 1 Introduction -- 2 Problem Formulation -- 3 Results -- 4 Analysis of Results.…”Description: 1 online resource (398 pages).
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Logic, Rationality, and Interaction : Second International Workshop, LORI 2009, Chongqing, China, October 8-11, 2009. Proceedings
Published: Springer-Verlag, 2009Contents: “…Contributed Papers -- Expressing Properties of Coalitional Ability under Resource Bounds -- Dynamic Context Logic -- Toward a Dynamic Logic of Questions -- A General Family of Preferential Belief Removal Operators -- Computing Compliance -- Attributing Distributed Responsibility in Stit Logic -- Characterizations of Iterated Admissibility Based on PEGL -- Can Doxastic Agents Learn? …”Description: 1 online resource.
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Artificial intelligence and evolutionary computations in engineering systems : proceedings of ICAIECES 2017
Published: Springer, 2018Contents: “…Intro; Preface; Contents; About the Editors; 1 Testing the Functionality of Firewall in Software-Defined Networking; Abstract; 1 Introduction; 2 Firewall; 3 OpenFlow Protocol; 4 Methodology; 5 Experimental Set-Up; 6 Result and Discussion; 6.1 Scenario 1; 6.2 Scenario 2; 6.3 Scenario 3; 7 Latency and Throughput; 8 Conclusion; References; 2 An Extension of 2D Laplacian of Gaussian (LoG)-Based Spot Detection Method to 3D; Abstract; 1 Introduction; 2 Methodology; 2.1 Original 2D Laplacian of Gaussian (LoG); 2.2 3D Laplacian of Gaussian (LoG); 2.3 3D Synthetic Image Datasets.…”Description: 1 online resource : illustrations (some color).
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Machine learning : ECML 2006 : 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006 : proceedings
Published: Springer, 2006Contents: “…Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- Learning in One-Shot Strategic Form Games -- A Selective Sampling Strategy for Label Ranking -- Combinatorial Markov Random Fields -- Learning Stochastic Tree Edit Distance -- Pertinent Background Knowledge for Learning Protein Grammars -- Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies -- Sequence Discrimination Using Phase-Type Distributions -- Languages as Hyperplanes: Grammatical Inference with String Kernels -- Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning -- Fisher Kernels for Relational Data -- Evaluating Misclassifications in Imbalanced Data -- Improving Control-Knowledge Acquisition for Planning by Active Learning -- PAC-Learning of Markov Models with Hidden State -- A Discriminative Approach for the Retrieval of Images from Text Queries -- TildeCRF: Conditional Random Fields for Logical Sequences -- Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data -- Bayesian Learning of Markov Network Structure -- Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks -- Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions -- EM Algorithm for Symmetric Causal Independence Models -- Deconvolutive Clustering of Markov States -- Patching Approximate Solutions in Reinforcement Learning -- Fast Variational Inference for Gaussian Process Models Through KL-Correction -- Bandit Based Monte-Carlo Planning -- Bayesian Learning with Mixtures of Trees -- Transductive Gaussian Process Regression with Automatic Model Selection -- Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees -- Why Is Rule Learning Optimistic and How to Correct It -- Automatically Evolving Rule Induction Algorithms -- Bayesian Active Learning for Sensitivity Analysis -- Mixtures of Kikuchi Approximations -- Boosting in PN Spaces -- Prioritizing Point-Based POMDP Solvers -- Graph Based Semi-supervised Learning with Sharper Edges -- Margin-Based Active Learning for Structured Output Spaces -- Skill Acquisition Via Transfer Learning and Advice Taking -- Constant Rate Approximate Maximum Margin Algorithms -- Batch Classification with Applications in Computer Aided Diagnosis -- Improving the Ranking Performance of Decision Trees -- Multiple-Instance Learning Via Random Walk -- Localized Alternative Cluster Ensembles for Collaborative Structuring -- Distributional Features for Text Categorization -- Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data -- An Adaptive Kernel Method for Semi-supervised Clustering -- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles -- Ensembles of Nearest Neighbor Forecasts -- Short Papers -- Learning Process Models with Missing Data -- Case-Based Label Ranking -- Cascade Evaluation of Clustering Algorithms -- Making Good Probability Estimates for Regression -- Fast Spectral Clustering of Data Using Sequential Matrix Compression -- An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects -- Efficient Inference in Large Conditional Random Fields -- A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses -- Cost-Sensitive Decision Tree Learning for Forensic Classification -- The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces -- Right of Inference: Nearest Rectangle Learning Revisited -- Reinforcement Learning for MDPs with Constraints -- Efficient Non-linear Control Through Neuroevolution -- Efficient Prediction-Based Validation for Document Clustering -- On Testing the Missing at Random Assumption -- B-Matching for Spectral Clustering -- Multi-class Ensemble-Based Active Learning -- Active Learning with Irrelevant Examples -- Classification with Support Hyperplanes -- (Agnostic) PAC Learning Concepts in Higher-Order Logic -- Evaluating Feature Selection for SVMs in High Dimensions -- Revisiting Fisher Kernels for Document Similarities -- Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery -- Robust Probabilistic Calibration -- Missing Data in Kernel PCA -- Exploiting Extremely Rare Features in Text Categorization -- Efficient Large Scale Linear Programming Support Vector Machines -- An Efficient Approximation to Lookahead in Relational Learners -- Improvement of Systems Management Policies Using Hybrid Reinforcement Learning -- Diversified SVM Ensembles for Large Data Sets -- Dynamic Integration with Random Forests -- Bagging Using Statistical Queries -- Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test -- Spline Embedding for Nonlinear Dimensionality Reduction -- Cost-Sensitive Learning of SVM for Ranking -- Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.…”Description: 1 online resource (xxiii, 851 pages) : illustrations.
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Safety for future transport and mobility
Published: Springer, 2021Contents: “…2.1.1 Development of the Context -- 2.1.2 Identification of Risk -- 2.1.3 Assessment of the Risk in the Target Context -- 2.1.4 Development of a Strategy and Treatment of Potential Risk -- 2.1.5 Development and Defining of Activities and Their Objectives -- 2.1.6 Development of an Implementation and Realisation Strategy -- 2.1.7 Review and Evaluation of the Plan -- 2.2 Technical Risk -- 2.3 Risk in Road Traffic -- 2.3.1 Causes of Technical Risk -- 2.3.2 Control of Technical Risk -- 2.4 Standardisation of Safety for Road Vehicles -- 2.4.1 Risk and Integrity Definition from the IEC 61508.…”Description: 1 online resource (424 pages)
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Logic, rationality, and interaction : 7th International Workshop, LORI 2019, Chongqing, China, October 18-21, 2019, Proceedings
Published: Springer, 2019SpringerLink - Click here for accessDescription: 1 online resource (xxi, 441 pages) : illustrations (some color).
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Intelligent human computer interaction : 14th International Conference, IHCI 2022, Tashkent, Uzbekistan, October 20-22, 2022, Revised selected papers
Published: Springer, 2023Contents: “…-- Automation of Calibration Procedure for Milk Non Automatic Weighing Instrument(NAWI) Process -- Low-cost Entry-level Educational Drone with Associated K-12 Education Strategy -- Creating a Modular and Decentralized Smart Mailbox System Using LoRaWan Networks -- A converting model 3D gaze direction to 2D gaze position -- Application of fiber optic sensors in aircraft fuel management system -- Intelligent multi-tariff payment collection system for in-ter-municipal buses in the Department of Atlántico - Colombia -- Agent-based modelling and simulation of public transport to identify effects of network changes on passenger flows -- Exploiting Security and Privacy Vulnerability in Human-IoT Interaction through the Virtual Assistant Technology in Amazon Alexa -- User Experience in Virtual Reality using Threshold Space in between Different Physical Laws -- Monitoring Pollination by Honeybee using Computer Vision -- Modeling the problem of integral geometry on the family of broken lines based on Tikhonov regularization -- A Framework for Privacy-Preserved Collaborative Learning in Smart Factory Environment -- Co-creating Computer Supported Collective Intelligence in Citizen Science Hubs -- Gaze Detection using Encoded Retinomorphic Events -- Extremely Lightweight Skin Segmentation Networks to Improve Remote Photoplethysmography Measurement -- Privacy-Friendly Phishing Attack Detection using Personalized Federated Learning -- CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models -- Development of School Library Network Based on Cloud Technologies in Uzbekistan -- Parallel Resource Defined Fitness Sharing -- EEG-based Key Generation Cryptosystem for Strengthening Security of Blockchain Transactions -- Improving Gaze Estimation Performance using Ensemble Loss Function -- Non-Overlayed Guidance in Augmented Reality: User Study in radio-pharmacy -- Development Of A Novel Method For Image Resizing Using Artificial Neural Network -- From Angular to Vue: A Cross-Language Comparative Survey of Web Frameworks.…”Description: 1 online resource (xxii, 597 pages) : illustrations (some color).
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