The foundations of cost-sensitive learning

Charles Elkan
international joint conference on artificial intelligence 973 -978

2,696
2001
The value of prior knowledge in discovering motifs with MEME.

Charles Elkan , Timothy L. Bailey
intelligent systems in molecular biology 3 21 -29

895
1995
Bayesian approaches to failure prediction for disk drives

Greg Hamerly , Charles Elkan
international conference on machine learning 202 -209

282
2001
A Critical Review of Recurrent Neural Networks for Sequence Learning

Charles Elkan , Zachary C. Lipton , John Berkowitz
arXiv: Learning

2,490
2015
Estimating the accuracy of learned concepts

Charles Elkan , Timothy L. Bailey
international joint conference on artificial intelligence 895 -900

31
1993
Dyadic Prediction Using a Latent Feature Log-Linear Model

Charles Elkan , Aditya Krishna Menon
arXiv: Learning

6
2010
Quadratic Programming Feature Selection

Charles Elkan , Carlos Santa Cruz , Ramon Huerta , Irene Rodriguez-Lujan
Journal of Machine Learning Research 11 ( 49) 1491 -1516

154
2010
Differential Privacy and Machine Learning: a Survey and Review.

Charles Elkan , Zachary Chase Lipton , Zhanglong Ji
arXiv: Learning

259
2014
Learning the k in k-means

Greg Hamerly , Charles Elkan
neural information processing systems 16 281 -288

1,219
2003
Sources of Success for Boosted Wrapper Induction

Charles Elkan , Joseph Smarr , David Kauchak
Journal of Machine Learning Research 5 499 -527

15
2004
Conditional Random Fields for Word Hyphenation

Charles Elkan , Nikolaos Trogkanis
meeting of the association for computational linguistics 366 -374

14
2010
Principled methods for advising reinforcement learning agents

Charles Elkan , Eric Wiewiora , Garrison Cottrell
international conference on machine learning 792 -799

108
2003
Using the triangle inequality to accelerate k-means

Charles Elkan
international conference on machine learning 147 -153

574
2003
Shared challenges in data mining and computational biology

Charles Elkan
international conference on data mining 44 -44

1
2001
End-to-end offline goal-oriented dialog policy learning via policy gradient

Oleg Rokhlenko , Kevin Small , Li Zhou , Charles Elkan
arXiv: Artificial Intelligence

30
2017
Achieving Fluency and Coherency in Task-oriented Dialog

Charles Elkan , Balakrishnan (Murali) Narayanaswamy , Rashmi Gangadharaiah
arXiv: Computation and Language

1
2017
Learning to Diagnose with LSTM Recurrent Neural Networks

Zachary C Lipton , David C Kale , Charles Elkan , Randall Wetzel
international conference on learning representations

1,177
2016
Predicting Surgery Duration with Neural Heteroscedastic Regression

Charles Elkan , Zachary C. Lipton , Julian J. McAuley , Rodney A. Gabriel
Machine Learning for Healthcare Conference 100 -111

6
2017