摘要:
1. Fit locally If the true model changes much, we want to fit our function locally to different regions of the input space. 2. Scaled distance \ we pu 阅读全文
posted @ 2017-05-07 18:23
ClimberClimb
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摘要:
1. Feature selection Sometimes, we need to decrease the number of features Efficiency: With fewer features, we can compute quickly Interpretaility: wh 阅读全文
posted @ 2017-05-07 10:44
ClimberClimb
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