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…optimizations. However RVMs use an [[Expectation Maximization]] (EM)-like learning method and are therefore at risk of local minima, unlike the standard [[Seq …and the Relevance Vector Machine |year=2001 |journal=[[Journal of Machine Learning Research]] |volume=1 |pages=211–244 |url=http://jmlr.csail.mit.edu/papers/v …

…ume=6|pages=21&ndash;45}}</ref><ref name="Rokach2010">{{Cite journal|title=Ensemble-based classifiers|last=Rokach|first=L.|journal=Artificial Intelligence Revi …le=Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers |last1=R. Bonab |first1=Hamed |last2=Can |first2=Fazli |date=20 …

…e="Quinlan86">Quinlan, J. R., (1986). Induction of Decision Trees. Machine Learning 1: 81-106, Kluwer Academic Publishers</ref>是[[贪心算法]]的一种, 也是目前为止最为常用的一种训练方法， …法来训练多棵决策树，最终结果用投票法产生。<ref>Breiman, L. (1996). Bagging Predictors. "Machine Learning, 24": pp. 123-140.</ref> …

…0/http://papers.nips.cc/paper/6857-nonlinear-random-matrix-theory-for-deep-learning.pdf}}</ref> * GUE (Gaussian Unitary Ensemble)：H是[[埃尔米特矩阵]]。通过[[1/N展开]]，[[維格納半圓分布]]描述H的大N[[特征值]]的[[機率密度函數]]<math>\rho(E)< …

…达三分之一的膜蛋白<ref name="Martelli2003">{{cite journal|title=An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins|url=http://bioin …

…book|title=Gene XI|author=Jocelyn E.KREBS et al.|publisher=JONES&BARTLETT LEARNING(高等教育出版社出版)|year=2014|ISBN=978-7-04-039649-2}}</ref>{{rp|695-701}}。 …的變化能使差異度不大、且能發生互變的多种构象体在[[熱力學平衡]]狀態下共存，从而形成所谓{{link-en|构象系综|conformational ensemble}}。在系综狀態下，酶的每一結構狀態或者构象体都可能與酶的功能的某一部分有關。舉例來說，二氢叶酸还原酶的不同構象就分別和底物結合、催化、輔助因子釋放、產 …