Introduction to Machine Learning: Class Notes 67577 Export

@article{citeulike:4392979, abstract = {Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).}, archivePrefix = {arXiv}, author = {Shashua, Amnon}, citeulike-article-id = {4392979}, citeulike-linkout-0 = {http://arxiv.org/abs/0904.3664}, citeulike-linkout-1 = {http://arxiv.org/pdf/0904.3664}, comment = {Has a good description of MaxLikelihood / MaxEnt duality which I have not seen in other introductions to ML.}, day = {23}, eprint = {0904.3664}, keywords = {bayesian, lecture\_notes, max-ent, theory}, month = {Apr}, posted-at = {2009-05-08 02:35:59}, priority = {2}, title = {Introduction to Machine Learning: Class Notes 67577}, url = {http://arxiv.org/abs/0904.3664}, year = {2009} }

TY - JOUR ID - citeulike:4392979 L3 - citeulike-article-id:4392979 N2 - Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem). TI - Introduction to Machine Learning: Class Notes 67577 KW - bayesian KW - lecture_notes KW - max-ent KW - theory N1 - Has a good description of MaxLikelihood / MaxEnt duality which I have not seen in other introductions to ML. AU - Shashua, Amnon PY - 2009/Apr/23/ UR - http://arxiv.org/abs/0904.3664 ER -