Richard A. Caruana

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All published works

Action	Title	Year	Authors
+	The Automatic Training of Rule Bases that Use Numerical Uncertainty Representations	2013	Richard A. Caruana
+	The Automatic Training of Rule Bases that Use Numerical Uncertainty Representations	2013	Richard A. Caruana
+	Obtaining Calibrated Probabilities from Boosting	2012	Alexandru Niculescu-Mizil Richard A. Caruana
+	Modeling additive structure and detecting interactions with groves of trees	2008	Richard A. Caruana Daria Sorokina
+ PDF Chat	The Emerging Science of Very Early Detection of Disease Outbreaks	2001	Michael M. Wagner Fuchiang Tsui Jeremy U. Espino Virginia Dato Dean F. Sitting Richard A. Caruana Laura F. McGinnis David W. Deerfield Marek J. Drużdżel Douglas B. Fridsma
+ PDF Chat	The automatic training of rule bases that use numerical uncertainty representations	1988	Richard A. Caruana

Common Coauthors

Coauthor	Papers Together
Daria Sorokina	1
Marek J. Drużdżel	1
Fuchiang Tsui	1
Laura F. McGinnis	1
Alexandru Niculescu-Mizil	1
Jeremy U. Espino	1
Douglas B. Fridsma	1
David W. Deerfield	1
Virginia Dato	1
Michael M. Wagner	1
Dean F. Sitting	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	An Empirical Distribution Function for Sampling with Incomplete Information	1955	Miriam Ayer H. D. Brunk George M. Ewing Willam T. Reid Edward Silverman	2
+ PDF Chat	Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)	2000	Jerome H. Friedman Trevor Hastie Robert Tibshirani	2
+	Generalized Additive Models: An Introduction with R, Second Edition	2017	Simon N. Wood	1
+	Influenza A and B epidemic criteria based on time-series analysis of health services surveillance data.	1998	P. Quénel William Dab	1
+	A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease	1996	Paddy Farrington Nick Andrews Andrew D. Beale Mike Catchpole	1
+	A Learning Algorithm for Boltzmann Machines*	1985	David H. Ackley Geoffrey E. Hinton Terrence J. Sejnowski	1
+	Predictive learning via rule ensembles	2008	Jerome H. Friedman Bogdan Popescu	1
+	Stochastic gradient boosting	2002	Jerome H. Friedman	1
+	Generalized Functional ANOVA Diagnostics for High-Dimensional Functions of Dependent Variables	2007	Giles Hooker	1
+ PDF Chat	Automated outbreak detection: a quantitative retrospective analysis	1999	Linda Stern Diane Lightfoot	1
+ PDF Chat	None	1999	Eric Bauer Ron Kohavi	1
+ PDF Chat	Bayesian Ensemble Learning	2007	Hugh Chipman Edward I. George Robert E. McCulloch	1
+ PDF Chat	Boosting and Maximum Likelihood for Exponential Models	2002	Guy Lebanon John Lafferty	1
+ PDF Chat	An Approximate Nonmyopic Computation for Value of Information	1991	David Heckerman Eric Horvitz Blackford Middleton	1
+	Order Restricted Statistical Inference.	1990	Thomas J. Santner Tim Robertson F. T. Wright R. L. Dykstra	1
+	Nonparametrics: Statistical Methods Based on Ranks	1979	Mitchell J. Mergenthaler E. L. Lehmann	1
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	1
+	Generalized Additive Models	2014	Trevor Hastie Robert Tibshirani	1
+ PDF Chat	Smoothing Spline ANOVA Models	2013	Chong Gu	1