Selectivity Functions of Range Queries are Learnable

Author:

Hu Xiao1,Liu Yuxi1,Xiu Haibo1,Agarwal Pankaj K.1,Panigrahi Debmalya1,Roy Sudeepa1,Yang Jun1

Affiliation:

1. Duke University, Durham, NC, USA

Funder

Army Research Office

NSF (National Science Foundation)

NIH (National Institutes of Health)

Publisher

ACM

Reference46 articles.

1. P. K. Agarwal and M. Sharir. 2000. Arrangements and their applications. In Handbook of computational geometry. Elsevier 49--119. P. K. Agarwal and M. Sharir. 2000. Arrangements and their applications. In Handbook of computational geometry. Elsevier 49--119.

2. Scale-sensitive dimensions, uniform convergence, and learnability

3. M. Anthony and P. L. Bartlett. 2009. Neural network learning: Theoretical foundations .cambridge university press. M. Anthony and P. L. Bartlett. 2009. Neural network learning: Theoretical foundations .cambridge university press.

4. More theorems about scale-sensitive dimensions and learning

5. Fat-Shattering and the Learnability of Real-Valued Functions

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