- Multitask Learning* caruana@cs.cmu.edu
- Multitask Connectionist Learning Richard A. Caruana
- Learning Many Related Tasks at the Same Time With Backpropagation
- Ensemble Selection from Libraries of Models Rich Caruana caruana@cs.cornell.edu
- Machine Learning, 28, 41--75 (1997) fl 1997 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Using the Future to ``Sort Out'' the Present: Rankprop and Multitask
- Ensemble Selection from Libraries of Models Rich Caruana caruana@cs.cornell.edu
- Multitask Learning: A KnowledgeBased Source of Inductive Bias 1 Richard A. Caruana
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- Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria
- An Empirical Comparison of Supervised Learning Algorithms Rich Caruana caruana@cs.cornell.edu
- RICH CARUANA 172 Pleasant Grove Road caruana@cs.cornell.edu
- Model Compression Cristian Bucila
- Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping
- Greedy Attribute Selection Rich Caruana
- In M.C. Mozer, M.I. Jordan & T. Petsche (Eds.). (1997). Advances in Neural Information Processing Systems 9,
- In AAAI Fall Symposium Series: Sensory Aspects of Robotic Intelligence. Monterey, CA; Nov 1517, 1991 Intelligent Agent Design Issues
- Obtaining Calibrated Probabilities from Boosting Alexandru Niculescu-Mizil
- Inductive Transfer for Bayesian Network Structure Learning Alexandru Niculescu-Mizil
- Meta Clustering Rich Caruana, Mohamed Elhawary, Nam Nguyen, Casey Smith
- We present an abstraction of the genetic algorithm (GA), termed populationbased
- Algorithms and Applications for Multitask Learning Rich Caruana
- How Useful Is Relevance? Rich Caruana
