Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions

By Philip M. Long, Rocco A. Servedio. 2006

17 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Cynthia Rudin
2. Allison Chang
3. Philip M. Long
4. Pranjal Awasthi
5. Maria-Florina Balcan
6. Dimitris J. Bertsimas
7. Berk Ustun
8. Tong Wang

Citations in the corpus

• Learning customized and optimized lists of rules with mathematical programming (2018, neutral): “, [4,33,39,40,42,55]), inductive logic programming approaches (e.”
• The power of localization for efficiently learning linear separators with noise (2013, background): “[LS06] P.”
• ORC: Ordered Rules for ClassificationA Discrete Optimization Approach to Associative Classification (2012, background): “The second category of sorted-rule-based classification algorithms produces decision lists [see Rivest, 1987, Klivans and Servedio, 2006, Sokolova et al., 2003, Anthony, 2005, Long and Servedio, 2007, Marchand and Sokolova, 2005, Rudin et al., 2011].”