Showing posts with label machine learning. Show all posts
Showing posts with label machine learning. Show all posts
机器学习中的高斯过程（Gaussian Process），附随机过程简记
likelihood for Generative and discriminative models
contrastive divergence
compile libDAI in Windows
software in probabilistic graphical models
model selection, empirical Bayes and Infer.Net
Infer.Net 原理和 C#
Infer.Net namespace 和 类
论文整理
evidence theory
matrix of linear transform and its transpose
compressive sensing, compressed sensing, sparse representation
machine learning spider
fullBNT (2) dynamic models and gaussian nodes, mixture of gaussian nodes
ML Software: LDA, sLDA, corrLDA, and the mixed-membership stochastic blockmodel (MMSB) in R package
particle filter
Fitting an inference algorithm instead of a model
fullBNT
CRF2D
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