Search results
15 de may. de 2011 · Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. Neuroimage. 2011 May 15;56 (2):544-53. doi: 10.1016/j.neuroimage.2010.11.002. Epub 2010 Nov 10. Authors. P K Douglas 1 , Sam Harris , Alan Yuille , Mark S Cohen. Affiliation.
5 de may. de 2011 · Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief - PMC. Journal List. HHS Author Manuscripts. PMC3099263. As a library, NLM provides access to scientific literature.
15 de may. de 2011 · Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief - ScienceDirect. NeuroImage. Volume 56, Issue 2, 15 May 2011, Pages 544-553. Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief
1 de nov. de 2010 · Request PDF | Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief |...
10 de nov. de 2010 · Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. - Abstract - Europe PMC. Europe PMC is an archive of life sciences journal literature.
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. Vasileios Vlachos. 2011, NeuroImage. See Full PDF. Download PDF. 2013 •. Wesley Kerr. Marcel Just, Sharlene D. Newman. 2007 •. Elia Formisano. 2008 •. Samer Sheth. 2009 •. Seung-schik Yoo. 2003 •. Marcel Just.
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. PubWeight™: 0.92 ‹?› 🔗 View Article (PMC 3099263) Published in Neuroimage on November 10, 2010
