Charles Elkan
Charles Elkan
Professor of Computer Science, University of California, San Diego
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Fitting a mixture model by expectation maximization to discover motifs in biopolymers
TL Bailey, C Elkan
ISMB, 28-36, 1994
Building large knowledge-based systems: Representation and inference in the Cyc project: DB Lenat and RV Guha
C Elkan, R Greiner
Artificial Intelligence 61 (1), 41-52, 1993
A critical review of recurrent neural networks for sequence learning
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
The foundations of cost-sensitive learning
C Elkan
International joint conference on artificial intelligence 17 (1), 973-978, 2001
Transforming classifier scores into accurate multiclass probability estimates
B Zadrozny, C Elkan
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
Learning the k in k-means
G Hamerly, C Elkan
Advances in neural information processing systems 16: proceedings of the …, 2004
Learning to diagnose with LSTM recurrent neural networks
ZC Lipton, DC Kale, C Elkan, R Wetzel
arXiv preprint arXiv:1511.03677, 2015
Learning classifiers from only positive and unlabeled data
C Elkan, K Noto
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Using the triangle inequality to accelerate k-means
C Elkan
Proceedings of the 20th international conference on Machine Learning (ICML …, 2003
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
B Zadrozny, C Elkan
ICML, 609-616, 2001
Unsupervised learning of multiple motifs in biopolymers using expectation maximization
TL Bailey, C Elkan
Machine Learning 21 (1), 51-80, 1995
The value of prior knowledge in discovering motifs with MEME.
TL Bailey, C Elkan
Ismb 3, 21-29, 1995
The field matching problem: algorithms and applications
AE Monge, C Elkan
KDD 2, 267-270, 1996
Alternatives to the k-means algorithm that find better clusterings
G Hamerly, C Elkan
Proceedings of the eleventh international conference on Information and …, 2002
Link prediction via matrix factorization
AK Menon, C Elkan
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
Optimal thresholding of classifiers to maximize F1 measure
ZC Lipton, C Elkan, B Naryanaswamy
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
Learning and making decisions when costs and probabilities are both unknown
B Zadrozny, C Elkan
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
An efficient domain-independent algorithm for detecting approximately duplicate database records
AE Monge
Proc. of the ACM-SIGMOD Workshop on Research Issues on Knowledge Discovery …, 1997
The transporter classification database: recent advances
MH Saier Jr, MR Yen, K Noto, DG Tamang, C Elkan
Nucleic acids research 37 (suppl_1), D274-D278, 2009
The paradoxical controversy over fuzzy logic
C Elkan
IEEE Intelligent Systems, 47-49, 1994
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