Efficient extreme learning machine via very sparse random projection
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3128-7
Abstract: Extreme learning machine (ELM) is a kind of random projection-based neural networks, whose advantages are fast training speed and high generalization. However, three issues can be improved in ELM: (1) the calculation of output weights takes… read more here.
Keywords: random projection; extreme learning; elm; layer ... See more keywords
Large-Scale Estimation of Distribution Algorithms with Adaptive Heavy Tailed Random Projection Ensembles
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Computer Science and Technology"
DOI: 10.1007/s11390-019-1973-1
Abstract: We present new variants of Estimation of Distribution Algorithms (EDA) for large-scale continuous optimisation that extend and enhance a recently proposed random projection (RP) ensemble based approach. The main novelty here is to depart from… read more here.
Keywords: large scale; estimation distribution; random projection; heavy tailed ... See more keywords
Polar Coordinate-Based Energy-Efficient-Chain Routing in Wireless Sensor Networks Using Random Projection
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2824245
Abstract: Random projection based on compressed sensing can reduce the amount of data transmitted in a wireless sensor network (WSN), and efficient routing can reduce the network traffic. Thus, this paper presents a Random projection-Polar coordinate-Chain… read more here.
Keywords: chain; chain routing; random projection; energy ... See more keywords
Hierarchical Feature Selection for Random Projection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2868836
Abstract: Random projection is a popular machine learning algorithm, which can be implemented by neural networks and trained in a very efficient manner. However, the number of features should be large enough when applied to a… read more here.
Keywords: random projection; neural networks; feature selection;
Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2778685
Abstract: Dimension reduction plays an essential role when decreasing the complexity of solving large-scale problems. The well-known Johnson–Lindenstrauss (JL) lemma and restricted isometry property (RIP) admit the use of random projection to reduce the dimension while… read more here.
Keywords: restricted isometry; random projection; isometry property; gaussian random ... See more keywords
RPkNN: An OpenCL-Based FPGA Implementation of the Dimensionality-Reduced kNN Algorithm Using Random Projection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2022.3147743
Abstract: Due to the so-called curse of dimensionality and increase in the size of databases, there is an ever-increasing demand for computing resources and memory bandwidth when performing the k-nearest neighbors (kNNs) algorithm, resulting in a… read more here.
Keywords: random projection; projection; rpknn; tex math ... See more keywords
Random projection ensemble classification with high-dimensional time series.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13679
Abstract: Multivariate time-series (MTS) data are prevalent in diverse domains and often high dimensional. We propose new random projection ensemble classifiers with high-dimensional MTS. The method first applies dimension reduction in the time domain via randomly… read more here.
Keywords: random projection; time; time series; high dimensional ... See more keywords