Parallel tree-ensemble algorithms for GPUs using CUDA

作者: Henrik Boström , Karl Jansson , Håkan Sundell

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摘要: We present two new parallel implementations of the tree-ensemble algorithms Random Forest (RF) and Extremely randomized trees (ERT) for emerging many-core platforms, e.g., contemporary graphics car ...

参考文章(16)
Henrik Boström, Concurrent Learning of Large-Scale Random Forests scandinavian conference on ai. ,vol. 227, pp. 20- 29 ,(2011) , 10.3233/978-1-60750-754-3-20
Martin Boldt, Privacy-Invasive Software Blekinge Institute of Technology. ,(2010)
G. Holmes, A. Donkin, I.H. Witten, WEKA: a machine learning workbench intelligent information systems. pp. 357- 361 ,(1994) , 10.1109/ANZIIS.1994.396988
Nitesh V. Chawla, Data Mining for Imbalanced Datasets: An Overview The Data Mining and Knowledge Discovery Handbook. pp. 875- 886 ,(2005) , 10.1007/978-0-387-09823-4_45
Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, None, Predicting Adverse Drug Events by Analyzing Electronic Patient Records artificial intelligence in medicine in europe. ,vol. 7885, pp. 125- 129 ,(2013) , 10.1007/978-3-642-38326-7_19
Hakan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat, CudaRF: A CUDA-based implementation of Random Forests acs/ieee international conference on computer systems and applications. pp. 95- 101 ,(2011) , 10.1109/AICCSA.2011.6126612
Oded Maimon, Lior Rokach, Data Mining and Knowledge Discovery Handbook ,(2005)
Pierre Geurts, Damien Ernst, Louis Wehenkel, Extremely randomized trees Machine Learning. ,vol. 63, pp. 3- 42 ,(2006) , 10.1007/S10994-006-6226-1
Biswanath Panda, Joshua S. Herbach, Sugato Basu, Roberto J. Bayardo, PLANET: massively parallel learning of tree ensembles with MapReduce very large data bases. ,vol. 2, pp. 1426- 1437 ,(2009) , 10.14778/1687553.1687569
Daniel F. Schwarz, Inke R. König, Andreas Ziegler, On safari to Random Jungle Bioinformatics. ,vol. 26, pp. 1752- 1758 ,(2010) , 10.1093/BIOINFORMATICS/BTQ257