Regularizing Conjunctive Features for Classification-Reference-Cited by-同舟云学术

Regularizing Conjunctive Features for Classification

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems - PODS '19
language:
Short-container-title:

Author:

Barceló Pablo¹,Baumgartner Alexander²,Dalmau Victor³,Kimelfeld Benny⁴

Affiliation:

1. University of Chile & IMFD Chile, Santiago, Chile

2. University of Chile & RISC, Johannes Kepler University, Santiago, Chile

3. Universitat Pompeu Fabra, Barcelona, Spain

4. Technion - Israel Institute of Technology, Haifa, Israel

Publisher

ACM Press

Reference35 articles.

1. Farrukh Ahmed, Michele Samorani, Colin Bellinger, and Osmar R. Za"i ane. 2016. Advantage of integration in big data: Feature generation in multi-relational databases for imbalanced learning. In BigData. IEEE , 532--539.

2. Ethem Alpaydin. 2009. Introduction to machine learning .MIT press.

3. Timos Antonopoulos, Frank Neven, and Fré dé ric Servais. 2013. Definability problems for graph query languages. In ICDT 2013. 141--152.

4. Marcelo Arenas and Gonzalo I. Diaz. 2016. The Exact Complexity of the First-Order Logic Definability Problem. ACM TODS , Vol. 41, 2 (2016), 13:1--13:14.

5. Boris Aronov, Delia Garijo, Yurai Nú nez-Rodr'iguez, David Rappaport, Carlos Seara, and Jorge Urrutia. 2012. Minimizing the error of linear separators on linearly inseparable data. Discrete Applied Math. , Vol. 160, 10--11 (2012), 1441--1452.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantic Optimization of Conjunctive Queries;Journal of the ACM;2020-12-31

2. Chile's new interdisciplinary institute for foundational research on data;Communications of the ACM;2020-10-22