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MLPACK: A Scalable C++ Machine Learning Library

MLPACK: A Scalable C++ Machine Learning Library

Journal of machine learning research (JMLR), 2012
23 October 2012
Ryan R. Curtin
J. R. Cline
N. P. Slagle
William B. March
Parikshit Ram
Nishant A. Mehta
Alexander G. Gray
    VLMGP
ArXiv (abs)PDFHTML

Papers citing "MLPACK: A Scalable C++ Machine Learning Library"

19 / 19 papers shown
A Complex Network based Graph Embedding Method for Link Prediction
A Complex Network based Graph Embedding Method for Link Prediction
Said Kerrache
Hafida Benhidour
105
1
0
11 Sep 2022
A comprehensive survey on computational learning methods for analysis of
  gene expression data
A comprehensive survey on computational learning methods for analysis of gene expression dataFrontiers in Molecular Biosciences (Front. Mol. Biosci.), 2022
Nikita Bhandari
Rahee Walambe
K. Kotecha
Satyajeet P. Khare
318
28
0
07 Feb 2022
Learning from Survey Propagation: a Neural Network for MAX-E-$3$-SAT
Learning from Survey Propagation: a Neural Network for MAX-E-333-SAT
Raffaele Marino
245
17
0
10 Dec 2020
Gene-Patterns: Should Architecture be Customized for Each Application?
Gene-Patterns: Should Architecture be Customized for Each Application?
Yuhang Liu
Luming Wang
Xiang Li
Yang Wang
Mingyu Chen
Yungang Bao
83
0
0
21 Sep 2019
On Explaining Machine Learning Models by Evolving Crucial and Compact
  Features
On Explaining Machine Learning Models by Evolving Crucial and Compact FeaturesSwarm and Evolutionary Computation (SEC), 2019
M. Virgolin
Tanja Alderliesten
Peter A. N. Bosman
162
31
0
04 Jul 2019
clusterNOR: A NUMA-Optimized Clustering Framework
clusterNOR: A NUMA-Optimized Clustering Framework
Disa Mhembere
Da Zheng
Carey E. Priebe
Joshua T. Vogelstein
Randal C. Burns
FedML
357
3
0
24 Feb 2019
A generic and fast C++ optimization framework
A generic and fast C++ optimization framework
Ryan R. Curtin
Shikhar Bhardwaj
Marcus Edel
Yannis Mentekidis
74
3
0
17 Nov 2017
Designing and building the mlpack open-source machine learning library
Designing and building the mlpack open-source machine learning library
Ryan R. Curtin
Marcus Edel
VLM
110
4
0
17 Aug 2017
An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture
  Models, k-Means and Expectation Maximisation
An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture Models, k-Means and Expectation Maximisation
Conrad Sanderson
Ryan R. Curtin
VLM
138
7
0
28 Jul 2017
Density Estimation with Distribution Element Trees
Density Estimation with Distribution Element Trees
D. Meyer
128
14
0
02 Oct 2016
Early Detection of Combustion Instabilities using Deep Convolutional
  Selective Autoencoders on Hi-speed Flame Video
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video
Chandrayee Basu
Qian Yang
M. Singhal
Anca Dragan
237
194
0
25 Mar 2016
Fast K-Means with Accurate Bounds
Fast K-Means with Accurate Bounds
J. Newling
François Fleuret
211
69
0
08 Feb 2016
Dual-tree $k$-means with bounded iteration runtime
Dual-tree kkk-means with bounded iteration runtime
Ryan R. Curtin
126
1
0
14 Jan 2016
Detecting the large entries of a sparse covariance matrix in
  sub-quadratic time
Detecting the large entries of a sparse covariance matrix in sub-quadratic time
Ofer Shwartz
B. Nadler
164
2
0
12 May 2015
Using Generic Summarization to Improve Music Information Retrieval Tasks
Using Generic Summarization to Improve Music Information Retrieval TasksIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2015
F. Raposo
Ricardo Ribeiro
David Martins de Matos
218
17
0
23 Mar 2015
Plug-and-play dual-tree algorithm runtime analysis
Plug-and-play dual-tree algorithm runtime analysis
Ryan R. Curtin
Dongryeol Lee
William B. March
Parikshit Ram
175
16
0
21 Jan 2015
On the Application of Generic Summarization Algorithms to Music
On the Application of Generic Summarization Algorithms to MusicIEEE Signal Processing Letters (IEEE SPL), 2014
F. Raposo
Ricardo Ribeiro
David Martins de Matos
124
15
0
18 Jun 2014
MLI: An API for Distributed Machine Learning
MLI: An API for Distributed Machine Learning
Evan R. Sparks
Ameet Talwalkar
Virginia Smith
Jey Kottalam
Xinghao Pan
Joseph E. Gonzalez
Michael Franklin
Sai Li
Tim Kraska
VLM
336
206
0
21 Oct 2013
Fast Exact Max-Kernel Search
Fast Exact Max-Kernel SearchSDM (SDM), 2012
Ryan R. Curtin
Parikshit Ram
Alexander G. Gray
274
52
0
23 Oct 2012
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