An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

Sparse Extreme Learning Machine for Classification

(2014) Zuo Bai et al.   IEEE Transactions on Cybernetics

Semi-Supervised and Unsupervised Extreme Learning Machines

(2014) Gao Huang et al.   IEEE Transactions on Cybernetics

The Sparseness of Mixed Selectivity Neurons Controls the Generalization-Discrimination Trade-Off

(2013) O. Barak et al.   JOURNAL OF NEUROSCIENCE

The importance of mixed selectivity in complex cognitive tasks

(2013) Mattia Rigotti et al.   NATURE

Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

(2013) Manuel Fernández-Delgado et al.   NEURAL NETWORKS

Clustering in extreme learning machine feature space

(2013) Qing He et al.   NEUROCOMPUTING

Efficient Digital Implementation of Extreme Learning Machines for Classification

(2012) Sergio Decherchi et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

Semi-Supervised Hashing for Large-Scale Search

(2012) Jun Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The No-Prop algorithm: A new learning algorithm for multilayer neural networks

(2012) Bernard Widrow et al.   NEURAL NETWORKS

A Large-Scale Model of the Functioning Brain

(2012) C. Eliasmith et al.   SCIENCE

Incremental Learning in Human Action Recognition Based on Snippets

(2011) Rashid Minhas et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

BELM: Bayesian Extreme Learning Machine

(2011) E Soria-Olivas et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Real-time transient stability assessment model using extreme learning machine

(2011) Y. Xu et al.   IET Generation Transmission & Distribution

Distinct representations of olfactory information in different cortical centres

(2011) Dara L. Sosulski et al.   NATURE

Parameter-insensitive kernel in extreme learning for non-linear support vector regression

(2011) Benoît Frénay et al.   NEUROCOMPUTING

Testing correct model specification using extreme learning machines

(2011) Jin Seo Cho et al.   NEUROCOMPUTING

ICGA-PSO-ELM Approach for Accurate Multiclass Cancer Classification Resulting in Reduced Gene Sets in Which Genes Encoding Secreted Proteins Are Highly Represented

(2010) S Saraswathi et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Human action recognition using extreme learning machine based on visual vocabularies

(2010) Rashid Minhas et al.   NEUROCOMPUTING

Optimization method based extreme learning machine for classification

(2010) Guang-Bin Huang et al.   NEUROCOMPUTING

OP-ELM: Optimally Pruned Extreme Learning Machine

(2009) Yoan Miche et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation

(2009) Nicolas Pinto et al.   PLoS Computational Biology

Incremental extreme learning machine with fully complex hidden nodes

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING

Enhanced random search based incremental extreme learning machine

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING