An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
about
Concrete Condition Assessment Using Impact-Echo Method and Extreme Learning Machines.Data-driven methods towards learning the highly nonlinear inverse kinematics of tendon-driven surgical manipulators.Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction.Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines.Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the 'Extreme Learning Machine' Algorithm.Enhancement of ELM by Clustering Discrimination Manifold Regularization and Multiobjective FOA for Semisupervised Classification.A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning MachineAdaptive Online Sequential ELM for Concept Drift Tackling.Extreme learning machine: a new alternative for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters.A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces.Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques.Discriminating cirRNAs from other lncRNAs using a hierarchical extreme learning machine (H-ELM) algorithm with feature selection.What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s PuzzleStorages Are Not ForeverSLT-Based ELM for Big Social Data AnalysisModeling and Optimization for Piercing Efficiency and Energy Consumption Based on Mean Value Substaged KELM-PLS and GA MethodFacial Expression Recognition Based on Discriminant Neighborhood Preserving Nonnegative Tensor Factorization and ELMHybrid Soft Computing Schemes for the Prediction of Import Demand of Crude Oil in TaiwanEfficient ELM-Based Two Stages Query Processing Optimization for Big DataFault Tolerance Automotive Air-Ratio Control Using Extreme Learning Machine Model Predictive ControllerGNSS/Low-Cost MEMS-INS Integration Using Variational Bayesian Adaptive Cubature Kalman Smoother and Ensemble Regularized ELMReal-Time and Accurate Indoor Localization with Fusion Model of Wi-Fi Fingerprint and Motion Particle FilterModeling, Prediction, and Control of Heating Temperature for Tube BilletDaily Human Physical Activity Recognition Based on Kernel Discriminant Analysis and Extreme Learning MachineMulticlass AdaBoost ELM and Its Application in LBP Based Face RecognitionResearch on Coal Exploration Technology Based on Satellite Remote SensingA Fault Diagnosis Method of High Voltage Circuit Breaker Based on Moving Contact Motion Trajectory and ELMAn Approach to Fault Diagnosis for Gearbox Based on Image Processing
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An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
description
im April 2014 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована у квітні 2014
@uk
name
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
@en
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
@nl
type
label
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
@en
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
@nl
prefLabel
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
@en
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
@nl
P2860
P1476
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
@en
P2093
Guang-Bin Huang
P2860
P304
P356
10.1007/S12559-014-9255-2
P577
2014-04-03T00:00:00Z