machine learning

Recommendation System Review Permalink

September 4, 2017 less than 1 minute read

A pretty good review for recsys. Goes over content-based and collaborative filtering (item-based and model-based) approach.

Notes on Maximum Likelihood, Maximum A Posteriori and Naive Bayes

September 24, 2014 4 minute read

Let \(\data\) be a set of data generated from some distribution parameterized by \(\theta\). We want to estimate the unknown parameter \(\theta\). What we can do?

Sparse Image Reconstruction via L1-minimization

May 19, 2014 5 minute read

Original Minimum Energy Reconstruction Sparse Reconstruction

Sparse Signal Reconstruction via L1-minimization

May 19, 2014 2 minute read

A Comparison of Least Square, L2-regularization and L1-regularization

May 15, 2014 3 minute read

UFLDL: Sparse Coding

May 9, 2014 8 minute read

Sparse Coding Sparse Coding 可以看做一种 unsupervised learning 的方法，作用是从数据里学习一组 over-complete 的 basis，使得输入数据 x 可以表示为这些 basis 的线性组合。 根据 UFLDL 的说法，这些 basis 可以反映、捕捉输入数据内在的一些规则与结构：