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Linear Regression and Sparsity Hao Wang [email protected]

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Page 1: Linear Regression and Sparsity - USTChome.ustc.edu.cn/~guogg/TA_DM/Linear Regression and... · 2012-12-30 · • Now you've moved to Pittsburgh!! And you want to find the most reasonably

Linear Regression and Sparsity

Hao Wang

[email protected]

Page 2: Linear Regression and Sparsity - USTChome.ustc.edu.cn/~guogg/TA_DM/Linear Regression and... · 2012-12-30 · • Now you've moved to Pittsburgh!! And you want to find the most reasonably

Outline

• 扯扯机器学习的机遇

• 这门课的遗憾

• Matrix

• Linear Regression

• Sparsity

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扯扯机器学习的机遇

• Big data– Opportunities

• Collective Intelligence– Crowdsourcing

– Search engine

– Challenges• Obtain knowledge

• Efficient computing

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Page 6: Linear Regression and Sparsity - USTChome.ustc.edu.cn/~guogg/TA_DM/Linear Regression and... · 2012-12-30 · • Now you've moved to Pittsburgh!! And you want to find the most reasonably
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ˆ Ty x θ=

1 2[1, , ]Tx x x=

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演示者
演示文稿备注
从实验结果看稀疏性
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演示者
演示文稿备注
从代数角度解释稀疏性
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演示者
演示文稿备注
相关的其他范数
Page 36: Linear Regression and Sparsity - USTChome.ustc.edu.cn/~guogg/TA_DM/Linear Regression and... · 2012-12-30 · • Now you've moved to Pittsburgh!! And you want to find the most reasonably

Induce Sparsity

• Introduce Sparsity-Inducing Norms– Sparsity via L1

– Sparsity via L1+L2

– Sparsity via L1/Lq

– ……..

– So many

• Some people also introduce sparsity from other perspective(see icml 2012 Zoubin)

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