01895nam0 22004333i 450 VAN024852720230529094919.668N978365829591220220725d2020 |0itac50 baengDE|||| |||||Improved Classification Rates for Localized Algorithms under Margin ConditionsIngrid Karin BlaschzykWiesbadenSpringer Spektrum2020126 p.ill.24 cmVAN0248528Improved Classification Rates for Localized Algorithms under Margin Conditions298359962-XXStatistics [MSC 2020]VANC022998MF62H30Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]VANC028931MFClassificationKW:KGaussian KernelKW:KHinge LossKW:KHistogram RuleKW:KLearning RatesKW:KLocalized SVMsKW:KOracle inequalityKW:KSpatial DecompositionKW:KSupport Vector MachinesKW:KTsybakov NoiseKW:KDEWiesbadenVANL000457BlaschzykIngrid K.VANV2034521268478Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-658-29591-2E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0248527BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 4511 08eMF4511 20220725 Improved Classification Rates for Localized Algorithms under Margin Conditions2983599UNICAMPANIA05258nam 22006615 450 991048471880332120251230064024.03-030-31993-810.1007/978-3-030-31993-9(CKB)4100000009678309(MiAaPQ)EBC5967911(DE-He213)978-3-030-31993-9(iGPub)SPNA0063591(PPN)243764707(UkBuK)1298575(EXLCZ)99410000000967830920191025d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInformatics in Control, Automation and Robotics 15th International Conference, ICINCO 2018, Porto, Portugal, July 29-31, 2018, Revised Selected Papers /edited by Oleg Gusikhin, Kurosh Madani1st ed. 2020.Springer Nature20191 online resource (xvii, 570 pages) illustrationsLecture Notes in Electrical Engineering,1876-1119 ;6133-030-31992-X Includes bibliographical references and index.Fast and Simple Interacting Models of Drape Tool and Ply Material for Handling Free Hanging, Pre-impregnated Carbon Fibre MaterialOptimal Time-Sampling in a Statistical Process Control with a Polynomial Expected LossObservability for the Wave Equation with Variable Support in the Dirichlet and Neumann CasesNonprehensile Manipulation Control and Task Planning for Deformable Object Manipulation: Results from the RoDyMan ProjectTowards a Novel Maintenance Support System Based On mini-terms: Mini-term 4.0Automated Nonlinear Control Structure Design by Domain of Attraction Maximization with Eigenvalue and Frequency Domain SpecificationsComputational Experience with a Modified Newton Solver for Discrete-Time Algebraic Riccati EquationsInfluence of the Predictive Rainfall/Runoff Model Accuracy on an Optimal Water Resource Management StrategyInterlocking Problem in Automatic Disassembly Planning and Two SolutionsThermal Imaging for Psychophysiological State Detection in the Human-Machine Interface (HMI) Control SystemNonlinear Model Predictive Control Algorithms for Industrial Articulated RobotsExperimental Investigation of a Biologically Inspired Gripper with Active Haptic Control for Geometric CompliancyQuantifying Robotic Swarm CoverageDesign of a Vibration Driven Motion System Based on a Multistable Tensegrity StructureAn Experimental Study for the Contactless Manipulation of Single Object in Vertical Plane Using Multiple Air JetsCombined Feedback-Feed Forward Control Strategy for a Knee Rehabilitation Device with Soft ActuationControlling Off-Road Bi-steerable Mobile Robots: An Adaptive Multi-control Laws StrategyOn Randomized Searching for Multi-robot CoordinationIncreasing Machining Accuracy of Industrial Manipulators Using Reduced Elastostatic ModelControl of Force in Surgical Robots with Random Time Delays Using Model Predictive ControlAn IPM Approach to Multi-robot Cooperative Localization: Pepper Humanoid and Wheeled Robots in a Shared SpaceStudy of the Physiological Parameters of a Regulated Oxygen MaskLinear Discrete-Time Systems - Dynamic Output-Feedback Control with PreviewDirect Integrability for State Feedback Optimal Control with Singular SolutionsPetri Nets Tracking Control for Electro-pneumatic Systems Automation18O Isotope Separation Process ControlApproximate Bayesian Prediction Using State Space Model with Uniform NoiseThe goal of this book is to familiarize readers with the latest research on, and recent advances in, the field of Informatics in Control, Automation and Robotics. It gathers a selection of papers highlighting the state-of-the-art in Intelligent Control Systems, Optimization, Robotics and Automation, Signal Processing, Sensors, Systems Modelling and Control. Combining theoretical aspects with practical applications, the book offers a well-balanced overview of the latest achievements, and will provide researchers, engineers and PhD students with both a vital update and new inspirations for their own research. .Lecture Notes in Electrical Engineering,1876-1119 ;613Automatic controlRoboticsAutomationArtificial intelligenceControl and Systems TheoryControl, Robotics, AutomationArtificial IntelligenceAutomatic control.Robotics.Automation.Artificial intelligence.Control and Systems Theory.Control, Robotics, Automation.Artificial Intelligence.629.8312629.8Gusikhin Olegedt1073423Gusikhin Olegedthttp://id.loc.gov/vocabulary/relators/edtMadani Kuroshedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910484718803321Informatics in Control, Automation and Robotics4880298UNINA