Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 222,812,160 papers from all fields of science
Search
Sign In
Create Free Account
mlpack
mlpack is a machine learning software library for C++, built on top of the Armadillo library. mlpack has an emphasis on scalability, speed, and ease…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
22 relations
Algorithm
Application programming interface
Armadillo C++ Library
C++
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Exploiting the structure of furthest neighbor search for fast approximate results
Ryan R. Curtin
,
J. Echauz
,
Andrew B. Gardner
Information Systems
2019
Corpus ID: 57662403
2018
2018
Mlpack 3.0.2
Ryan R. Curtin
,
Marcus Edel
,
M. Lozhnikov
,
Yannis Mentekidis
,
Sumedh Ghaisas
,
Shangtong Zhang
2018
Corpus ID: 69527456
mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a…
Expand
2018
2018
mlpack open-source machine learning library and community
Marcus Edel
2018
Corpus ID: 191525628
mlpack is an open-source C++ machine learning library with an emphasis on speed and flexibility. Since its original inception in…
Expand
2018
2018
Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces
M. Mancas
,
Christian Frisson
,
et al.
,
Noé Tits
arXiv.org
2018
Corpus ID: 29074238
The 11th Summer Workshop on Multimodal Interfaces eNTERFACE 2015 was hosted by the Numediart Institute of Creative Technologies…
Expand
2017
2017
Designing and building the mlpack open-source machine learning library
Ryan R. Curtin
,
Marcus Edel
arXiv.org
2017
Corpus ID: 12602648
mlpack is an open-source C++ machine learning library with an emphasis on speed and flexibility. Since its original inception in…
Expand
2016
2016
Fast Approximate Furthest Neighbors with Data-Dependent Candidate Selection
Ryan R. Curtin
,
Andrew B. Gardner
Similarity Search and Applications
2016
Corpus ID: 40909246
We present a novel strategy for approximate furthest neighbor search that selects a candidate set using the data distribution…
Expand
2015
2015
Lagrangian advection scheme with shape matrix (LASM) v0.2: interparcel mixing, physics–dynamics coupling and 3-D extension
Lingli Dong
,
Bin Wang
,
Li Liu
,
Yongjie Huang
2015
Corpus ID: 55816853
Abstract. The interparcel mixing algorithm in the Lagrangian advection scheme with shape matrix (LASM) is updated to make the…
Expand
2015
2015
Single-tree GMM training
Ryan R. Curtin
2015
Corpus ID: 17704027
In this short document, we derive a tree-independent single-tree algorithm for Gaussian mixture model training, based on a…
Expand
2014
2014
Extreme Learning Machines 2013: Algorithms and Applications
Fuchen Sun
,
Kar-Ann Toh
,
M. G. Romay
,
K. Mao
2014
Corpus ID: 114234187
In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable…
Expand
2014
2014
An Automatic Benchmarking System
Anand Soni
,
Ryan R. Curtin
2014
Corpus ID: 113404208
It is standard to write unit tests to answer the question ‘does my software work?’, but it is not always common to answer…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE