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Rich Caruana :
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Tom M. Mitchell , Rich Caruana , Dayne Freitag , John P. McDermott , David Zabowski Experience with a Learning Personal Assistant. [Citation Graph (1, 0)][DBLP ] Commun. ACM, 1994, v:37, n:7, pp:80-91 [Journal ] Engin Ipek , Sally A. McKee , Rich Caruana , Bronis R. de Supinski , Martin Schulz Efficiently exploring architectural design spaces via predictive modeling. [Citation Graph (0, 0)][DBLP ] ASPLOS, 2006, pp:195-206 [Conf ] Rich Caruana , Mohamed Farid Elhawary , Nam Nguyen , Casey Smith Meta Clustering. [Citation Graph (0, 0)][DBLP ] ICDM, 2006, pp:107-118 [Conf ] Rich Caruana , Art Munson , Alexandru Niculescu-Mizil Getting the Most Out of Ensemble Selection. [Citation Graph (0, 0)][DBLP ] ICDM, 2006, pp:828-833 [Conf ] Larry J. Eshelman , Rich Caruana , J. David Schaffer Biases in the Crossover Landscape. [Citation Graph (0, 0)][DBLP ] ICGA, 1989, pp:10-19 [Conf ] J. David Schaffer , Rich Caruana , Larry J. Eshelman , Rajarshi Das A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. [Citation Graph (0, 0)][DBLP ] ICGA, 1989, pp:51-60 [Conf ] Shumeet Baluja , Rich Caruana Removing the Genetics from the Standard Genetic Algorithm. [Citation Graph (0, 0)][DBLP ] ICML, 1995, pp:38-46 [Conf ] Rich Caruana Multitask Learning: A Knowledge-Based Source of Inductive Bias. [Citation Graph (0, 0)][DBLP ] ICML, 1993, pp:41-48 [Conf ] Rich Caruana Algorithms and Applications for Multitask Learning. [Citation Graph (0, 0)][DBLP ] ICML, 1996, pp:87-95 [Conf ] Rich Caruana , Dayne Freitag Greedy Attribute Selection. [Citation Graph (0, 0)][DBLP ] ICML, 1994, pp:28-36 [Conf ] Rich Caruana , Alexandru Niculescu-Mizil An empirical comparison of supervised learning algorithms. [Citation Graph (0, 0)][DBLP ] ICML, 2006, pp:161-168 [Conf ] Rich Caruana , Alexandru Niculescu-Mizil , Geoff Crew , Alex Ksikes Ensemble selection from libraries of models. [Citation Graph (0, 0)][DBLP ] ICML, 2004, pp:- [Conf ] Rich Caruana , J. David Schaffer Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] ML, 1988, pp:153-161 [Conf ] Rich Caruana , J. David Schaffer , Larry J. Eshelman Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] ML, 1989, pp:375-378 [Conf ] Joseph O'Sullivan , John Langford , Rich Caruana , Avrim Blum FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness. [Citation Graph (0, 0)][DBLP ] ICML, 2000, pp:703-710 [Conf ] Alexandru Niculescu-Mizil , Rich Caruana Predicting good probabilities with supervised learning. [Citation Graph (0, 0)][DBLP ] ICML, 2005, pp:625-632 [Conf ] Rich Caruana , Larry J. Eshelman , J. David Schaffer Representation and Hidden Bias II: Eliminating Defining Length Bias in Genetic Search via Shuffle Crossover. [Citation Graph (0, 0)][DBLP ] IJCAI, 1989, pp:750-755 [Conf ] Cristian Bucila , Rich Caruana , Alexandru Niculescu-Mizil Model compression. [Citation Graph (0, 0)][DBLP ] KDD, 2006, pp:535-541 [Conf ] Rich Caruana , Mohamed Farid Elhawary , Art Munson , Mirek Riedewald , Daria Sorokina , Daniel Fink , Wesley M. Hochachka , Steve Kelling Mining citizen science data to predict orevalence of wild bird species. [Citation Graph (0, 0)][DBLP ] KDD, 2006, pp:909-915 [Conf ] Rich Caruana , Alexandru Niculescu-Mizil Data mining in metric space: an empirical analysis of supervised learning performance criteria. [Citation Graph (0, 0)][DBLP ] KDD, 2004, pp:69-78 [Conf ] Art Munson , Claire Cardie , Rich Caruana Optimizing to Arbitrary NLP Metrics using Ensemble Selection. [Citation Graph (0, 0)][DBLP ] HLT/EMNLP, 2005, pp:- [Conf ] Rich Caruana Learning Many Related Tasks at the Same Time with Backpropagation. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:657-664 [Conf ] Rich Caruana A Dozen Tricks with Multitask Learning. [Citation Graph (0, 0)][DBLP ] Neural Networks: Tricks of the Trade, 1996, pp:165-191 [Conf ] Rich Caruana , Shumeet Baluja , Tom M. Mitchell Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation. [Citation Graph (0, 0)][DBLP ] NIPS, 1995, pp:959-965 [Conf ] Rich Caruana , Steve Lawrence , C. Lee Giles Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping. [Citation Graph (0, 0)][DBLP ] NIPS, 2000, pp:402-408 [Conf ] Rich Caruana , Virginia R. de Sa Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs. [Citation Graph (0, 0)][DBLP ] NIPS, 1996, pp:389-395 [Conf ] John Langford , Rich Caruana (Not) Bounding the True Error. [Citation Graph (0, 0)][DBLP ] NIPS, 2001, pp:809-816 [Conf ] Rich Caruana , Alexandru Niculescu-Mizil An Empirical Evaluation of Supervised Learning for ROC Area. [Citation Graph (0, 0)][DBLP ] ROCAI, 2004, pp:1-8 [Conf ] Rich Caruana , Alexandru Niculescu-Mizil Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria. [Citation Graph (0, 0)][DBLP ] ROCAI, 2004, pp:9-18 [Conf ] Adam L. Berger , Rich Caruana , David Cohn , Dayne Freitag , Vibhu O. Mittal Bridging the lexical chasm: statistical approaches to answer-finding. [Citation Graph (0, 0)][DBLP ] SIGIR, 2000, pp:192-199 [Conf ] Rich Caruana The Automatic Training of Rule Bases that Use Numerical Uncertainty Representations. [Citation Graph (0, 0)][DBLP ] UAI, 1987, pp:347-356 [Conf ] Gregory F. Cooper , Constantin F. Aliferis , R. Ambrosino , John M. Aronis , Bruce G. Buchanan , Rich Caruana , Michael J. Fine , Clark Glymour , G. Gordon , B. H. Hanusa , Janine E. Janosky , Christopher Meek , Tom M. Mitchell , Thomas Richardson , Peter Spirtes An evaluation of machine-learning methods for predicting pneumonia mortality. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 1997, v:9, n:2, pp:107-138 [Journal ] Rich Caruana The automatic training of rule bases that use numerical uncertainty representations. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 1988, v:2, n:3, pp:330-331 [Journal ] Gregory F. Cooper , Vijoy Abraham , Constantin F. Aliferis , John M. Aronis , Bruce G. Buchanan , Rich Caruana , Michael J. Fine , Janine E. Janosky , Gary Livingston , Tom M. Mitchell Predicting dire outcomes of patients with community acquired pneumonia. [Citation Graph (0, 0)][DBLP ] Journal of Biomedical Informatics, 2005, v:38, n:5, pp:347-366 [Journal ] Rich Caruana , Virginia R. de Sa Benefitting from the Variables that Variable Selection Discards. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2003, v:3, n:, pp:1245-1264 [Journal ] Rich Caruana Multitask Learning. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1997, v:28, n:1, pp:41-75 [Journal ] Rich Caruana , Thorsten Joachims , Lars Backstrom KDD-Cup 2004: results and analysis. [Citation Graph (0, 0)][DBLP ] SIGKDD Explorations, 2004, v:6, n:2, pp:95-108 [Journal ] David B. Skalak , Alexandru Niculescu-Mizil , Rich Caruana Classifier Loss Under Metric Uncertainty. [Citation Graph (0, 0)][DBLP ] ECML, 2007, pp:310-322 [Conf ] Daria Sorokina , Rich Caruana , Mirek Riedewald Additive Groves of Regression Trees. [Citation Graph (0, 0)][DBLP ] ECML, 2007, pp:323-334 [Conf ] Alexandru Niculescu-Mizil , Rich Caruana Obtaining Calibrated Probabilities from Boosting. [Citation Graph (0, 0)][DBLP ] UAI, 2005, pp:413-0 [Conf ] Consensus Clusterings. [Citation Graph (, )][DBLP ] Detecting and Interpreting Variable Interactions in Observational Ornithology Data. [Citation Graph (, )][DBLP ] Detecting statistical interactions with additive groves of trees. [Citation Graph (, )][DBLP ] An empirical evaluation of supervised learning in high dimensions. [Citation Graph (, )][DBLP ] C2FS: An Algorithm for Feature Selection in Cascade Neural Networks. [Citation Graph (, )][DBLP ] Self-Optimizing Memory Controllers: A Reinforcement Learning Approach. [Citation Graph (, )][DBLP ] Classification with partial labels. [Citation Graph (, )][DBLP ] On Feature Selection, Bias-Variance, and Bagging. [Citation Graph (, )][DBLP ] Improving Classification with Pairwise Constraints: A Margin-Based Approach. [Citation Graph (, )][DBLP ] Predicting parallel application performance via machine learning approaches. [Citation Graph (, )][DBLP ] Search in 0.003secs, Finished in 0.303secs