pli-toolbox

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-- plot hard-labeled points using colors -- plot soft-labeled points using mix of colors -- plot lines given theta and b

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- Fixed training and testing set - n-fold cross validation - leave-one-out cross validation

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Refer to a NIPS 2011 paper (by Bergstra et al.): Algorithms for Hyper-Parameter Search

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- linear SVM - kernel evaluation - kernel SVM

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- a common function symeig - PCA: prin_comp and prin_comp_cov - Fisher LDA: linear_discrim - CCA (canonical correlation analysis): canon_corr

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- HMM inference - HMM training - Viterbi decoding

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- graphcut solver - loopy belief propagation algorithm

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- Gauss functions using canonical parameters - functions to generate weight matrices and Laplacian matrix - GMRF-based smoothing

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This includes - a PPCA class to support single probabilistic pca computation - a PPCA model model - mixture of PPCAs

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