Learning classification models with soft-label information
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Milos Hauskrecht | Quang Nguyen | Hamed Valizadegan | M. Hauskrecht | Hamed Valizadegan | Quang Nguyen
[1] Wei Chu,et al. New approaches to support vector ordinal regression , 2005, ICML.
[2] H. Sebastian Seung,et al. Query by committee , 1992, COLT '92.
[3] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[4] Klaus Obermayer,et al. Support vector learning for ordinal regression , 1999 .
[5] Jacob Cohen,et al. Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. , 1968 .
[6] Milos Hauskrecht,et al. Multivariate Time Series Classification with Temporal Abstractions , 2009, FLAIRS.
[7] P. McCullagh. Regression Models for Ordinal Data , 1980 .
[8] Jeremy E. Oakley,et al. Uncertain Judgements: Eliciting Experts' Probabilities , 2006 .
[9] W M Tierney,et al. Physicians' Estimates of the Probability of Myocardial Infarction in Emergency Boom Patients with chest Pain , 1986, Medical decision making : an international journal of the Society for Medical Decision Making.
[10] Eyke Hüllermeier,et al. Preference Learning , 2005, Künstliche Intell..
[11] Eyke Hllermeier,et al. Preference Learning , 2010 .
[12] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[13] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[14] Milos Hauskrecht,et al. Feature importance analysis for patient management decisions , 2010, MedInfo.
[15] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[16] Arthur E. Hoerl,et al. Ridge Regression — 1980: Advances, Algorithms, and Applications , 1981 .
[17] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[18] P J Simpson,et al. Impact of the patient population on the risk for heparin-induced thrombocytopenia. , 2000, Blood.
[19] Yuval Shahar,et al. Temporal Information Systems in Medicine , 2010 .
[20] J G Dolan,et al. An Eualuation of Clinicians' Subjective Prior Probability Estimates , 1986, Medical decision making : an international journal of the Society for Medical Decision Making.
[21] P. McCullagh,et al. Generalized Linear Models , 1992 .
[22] David A. Cohn,et al. Improving generalization with active learning , 1994, Machine Learning.
[23] P. McCullagh,et al. Generalized Linear Models , 1972, Predictive Analytics.
[24] R D Cebul,et al. The accuracy of experienced physicians' probability estimates for patients with sore throats. Implications for decision making. , 1985, JAMA.
[25] Milos Hauskrecht,et al. Modeling treatment of ischemic heart disease with partially observable Markov decision processes , 1998, AMIA.
[26] Gilles Clermont,et al. Outlier detection for patient monitoring and alerting , 2013, J. Biomed. Informatics.
[27] Chih-Jen Lin,et al. Trust Region Newton Method for Logistic Regression , 2008, J. Mach. Learn. Res..
[28] Milos Hauskrecht,et al. A Pattern Mining Approach for Classifying Multivariate Temporal Data , 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.
[29] Milos Hauskrecht,et al. Mining recent temporal patterns for event detection in multivariate time series data , 2012, KDD.
[30] J. Fleiss. Measuring nominal scale agreement among many raters. , 1971 .
[31] Gregory F Cooper,et al. Conditional outlier detection for clinical alerting. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[32] William A. Gale,et al. A sequential algorithm for training text classifiers , 1994, SIGIR '94.