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Claudia Perlich
2010 – today
- 2012
[j12]Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman: Leakage in data mining: Formulation, detection, and avoidance. TKDD 6(4): 15 (2012)- [c11]Claudia Perlich, Brian Dalessandro, Rod Hook, Ori Stitelman, Troy Raeder, Foster J. Provost: Bid optimizing and inventory scoring in targeted online advertising. KDD 2012: 804-812
- [c10]Troy Raeder, Ori Stitelman, Brian Dalessandro, Claudia Perlich, Foster J. Provost: Design principles of massive, robust prediction systems. KDD 2012: 1357-1365
- 2011
- [c9]Shachar Kaufman, Saharon Rosset, Claudia Perlich: Leakage in data mining: formulation, detection, and avoidance. KDD 2011: 556-563
- [c8]Yan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen: Latent graphical models for quantifying and predicting patent quality. KDD 2011: 1145-1153
- 2010
- [j11]Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu: Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. 20(3): 439-468 (2010)
- [j10]Rick Lawrence, Claudia Perlich, Saharon Rosset, Ildar Khabibrakhmanov, Shilpa Mahatma, Sholom M. Weiss, Matthew Callahan, Matt Collins, Alexey Ershov, Shiva Kumar: Operations Research Improves Sales Force Productivity at IBM. Interfaces 40(1): 33-46 (2010)
- [j9]Claudia Perlich, Grzegorz Swirszcz: On cross-validation and stacking: building seemingly predictive models on random data. SIGKDD Explorations 12(2): 11-15 (2010)
- [r2]Claudia Perlich: Learning Curves in Machine Learning. Encyclopedia of Machine Learning 2010: 577-580
2000 – 2009
- 2009
- [j8]Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yan Feng Zhu: Winning the KDD Cup Orange Challenge with Ensemble Selection. Journal of Machine Learning Research - Proceedings Track 7: 23-34 (2009)
- [c7]Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe: Spatial-temporal causal modeling for climate change attribution. KDD 2009: 587-596
- [r1]Claudia Perlich, Saharon Rosset, Bianca Zadrozny: Modeling Quantiles. Encyclopedia of Data Warehousing and Mining 2009: 1324-1329
- 2008
- [j7]Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset: Breast cancer identification: KDD CUP winner's report. SIGKDD Explorations 10(2): 39-42 (2008)
- 2007
- [j6]Richard D. Lawrence, Claudia Perlich, Saharon Rosset, Jorge Arroyo, Matthew Callahan, J. Matthew Collins, Alexey Ershov, Sheri Feinzig, Ildar Khabibrakhmanov, Shilpa Mahatma, Mark Niemaszyk, Sholom M. Weiss: Analytics-driven solutions for customer targeting and sales-force allocation. IBM Systems Journal 46(4): 797-816 (2007)
- [j5]Saharon Rosset, Claudia Perlich, Bianca Zadrozny: Ranking-based evaluation of regression models. Knowl. Inf. Syst. 12(3): 331-353 (2007)
- [j4]Saharon Rosset, Claudia Perlich, Yan Liu: Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. SIGKDD Explorations 9(2): 66-69 (2007)
- [c6]Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan Reddy, Saharon Rosset: Looking for Great Ideas: Analyzing the Innovation Jam. WebKDD/SNA-KDD 2007: 21-39
- [c5]Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny: High-quantile modeling for customer wallet estimation and other applications. KDD 2007: 977-985
- [c4]Claudia Perlich, Saharon Rosset: Identifying Bundles of Product Options using Mutual Information Clustering. SDM 2007
- 2006
- [j3]Claudia Perlich, Foster J. Provost: Distribution-based aggregation for relational learning with identifier attributes. Machine Learning 62(1-2): 65-105 (2006)
- [c3]Srujana Merugu, Saharon Rosset, Claudia Perlich: A new multi-view regression approach with an application to customer wallet estimation. KDD 2006: 656-661
- 2005
- [c2]Saharon Rosset, Claudia Perlich, Bianca Zadrozny: Ranking-Based Evaluation of Regression Models. ICDM 2005: 370-377
- 2003
- [j2]Claudia Perlich, Foster J. Provost, Jeffrey S. Simonoff: Tree Induction vs. Logistic Regression: A Learning-Curve Analysis. Journal of Machine Learning Research 4: 211-255 (2003)
- [j1]Claudia Perlich, Foster J. Provost, Sofus A. Macskassy: Predicting citation rates for physics papers: constructing features for an ordered probit model. SIGKDD Explorations 5(2): 154-155 (2003)
- [c1]Claudia Perlich, Foster J. Provost: Aggregation-based feature invention and relational concept classes. KDD 2003: 167-176
Coauthor Index
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last updated on 2013-01-11 20:47 CET by the dblp team