Result 1 to 20 of 25 total
Bayesian hierarchical rule modeling for predicting medical conditions. (English)
Ann. Appl. Stat. 6, No. 2, 652-668 (2012).
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io-port 50085333 Rudin, Cynthia;
Waltz, David L.;
Anderson, Roger;
Boulanger, Albert;
Salleb-Aouissi, Ansaf;
Chow, Maggie;
Dutta, Haimonti;
Gross, Philip;
Huang, Bert C.;
Ierome, Steve
Machine learning for theNew York city power grid (English)
IEEE Trans. Pattern Anal. Mach. Intell. 34, No. 2, 328-345 (2012).
2
The machine learning and traveling repairman problem. (English)
Brafman, Ronen I. (ed.) et al., Algorithmic decision theory. Second international conference, ADT 2011, Piscataway, NJ, USA, October 26‒28, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24872-6/pbk). Lecture Notes in Computer Science 6992. Lecture Notes in Artificial Intelligence, 262-276 (2011).
3
The rate of convergence of adaboost. (English)
Comput. Res. Repos. 2011, Article No. 1106.6024 (2011).
4
Machine learning and the traveling repairman. (English)
Comput. Res. Repos. 2011, Article No. 1104.5061 (2011).
5
21st-century data miners meet 19th-century electrical cables (English)
IEEE Computer 44, No. 6, 103-105 (2011).
6
The machine learning and traveling repairman problem (English)
ADT, 262-276 (2011).
7
A process for predicting manhole events in Manhattan. (English)
Mach. Learn. 80, No. 1, 1-31 (2010).
8
The $p$-norm push: a simple convex ranking algorithm that concentrates at the top of the list. (English)
J. Mach. Learn. Res. 10, 2233-2271 (2009).
9
Margin-based ranking and an equivalence between AdaBoost and RankBoost. (English)
J. Mach. Learn. Res. 10, 2193-2232 (2009).
10
Reducing noise in labels and features for a real world dataset: Application of NLP corpus annotation methods. (English)
Gelbukh, Alexander (ed.), Computational linguistics and intelligent text processing. 10th international conference, CICLing 2009, Mexico City, Mexico, March 1‒7, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-00381-3/pbk). Lecture Notes in Computer Science 5449, 86-97 (2009).
11
Report cards for manholes: eliciting expert feedback for a learning task (English)
ICMLA, 719-724 (2009).
12
Reducing noise in labels and features for a real world dataset: application of NLP corpus annotation methods (English)
CICLing, 86-97 (2009).
13
Arabic morphological tagging, diacritization, and lemmatization using lexeme models and feature ranking (English)
ACL (Short Papers), 117-120 (2008).
14
Precise statements of convergence for AdaBoost and arc-gv. (English)
Verducci, Joseph Stephen (ed.) et al., Prediction and discovery. AMS-IMS-SIAM joint summer research conference on machine and statistical learning: prediction and discovery, Snowbird, UT, USA, June 25‒29, 2006. Contemporary Mathematics 443 (ISBN 978-0-8218-4195-2/pbk). 131-145 (2007).
15
Analysis of boosting algorithms using the smooth margin function. (English)
Ann. Stat. 35, No. 6, 2723-2768 (2007).
16
Ranking with a $p$-norm push. (English)
Lugosi, Gabor (ed.) et al., Learning theory. 19th annual conference on learning theory, COLT 2006, Pittsburgh, PA, USA, June 22‒25, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-35294-5/pbk). Lecture Notes in Computer Science 4005. Lecture Notes in Artificial Intelligence, 589-604 (2006).
17
Ranking with a P-norm push (English)
COLT, 589-604 (2006).
18
Stability analysis for regularized least squares regression. (English)
Comput. Res. Repos. 2005, Article No. 0502016 (2005).
19
Margin-based ranking meets boosting in the middle. (English)
Auer, Peter (ed.) et al., Learning theory. 18th annual conference on learning theory, COLT 2005, Bertinoro, Italy, June 27‒30, 2005. Proceedings. Berlin: Springer (ISBN 3-540-26556-2/pbk). Lecture Notes in Computer Science 3559. Lecture Notes in Artificial Intelligence, 63-78 (2005).
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Result 1 to 20 of 25 total
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