暂无分享,去创建一个
[1] Xin Xu,et al. Logistic Regression and Boosting for Labeled Bags of Instances , 2004, PAKDD.
[2] YangYi,et al. Learning representations for weakly supervised natural language processing tasks , 2014 .
[3] Bernhard Pfahringer,et al. A Two-Level Learning Method for Generalized Multi-instance Problems , 2003, ECML.
[4] Jun Wang,et al. Solving the Multiple-Instance Problem: A Lazy Learning Approach , 2000, ICML.
[5] R. Munos,et al. Kullback–Leibler upper confidence bounds for optimal sequential allocation , 2012, 1210.1136.
[6] Thomas Hofmann,et al. Multiple Instance Learning for Computer Aided Diagnosis , 2007 .
[7] Dong Liu,et al. $\propto$SVM for learning with label proportions , 2013, ICML 2013.
[8] Thomas G. Dietterich,et al. Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..
[9] Zaïd Harchaoui,et al. On learning to localize objects with minimal supervision , 2014, ICML.
[10] Ming-Syan Chen,et al. Video Event Detection by Inferring Temporal Instance Labels , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Thomas Hofmann,et al. Support Vector Machines for Multiple-Instance Learning , 2002, NIPS.
[12] Stefan R ping. SVM Classifier Estimation from Group Probabilities , 2010, ICML 2010.
[13] Alexander J. Smola,et al. Estimating Labels from Label Proportions , 2009, J. Mach. Learn. Res..
[14] Sébastien Bubeck,et al. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems , 2012, Found. Trends Mach. Learn..
[15] Bin Liu,et al. Kernel K-means Based Framework for Aggregate Outputs Classification , 2009, 2009 IEEE International Conference on Data Mining Workshops.
[16] Nando de Freitas,et al. Learning about Individuals from Group Statistics , 2005, UAI.
[17] Wei Chen,et al. Combinatorial multi-armed bandit: general framework, results and applications , 2013, ICML 2013.
[18] Tomás Lozano-Pérez,et al. A Framework for Multiple-Instance Learning , 1997, NIPS.
[19] Zhi-Hua Zhou,et al. Improve Multi-Instance Neural Networks through Feature Selection , 2004, Neural Processing Letters.
[20] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[21] Qi Zhang,et al. EM-DD: An Improved Multiple-Instance Learning Technique , 2001, NIPS.
[22] T. L. Lai Andherbertrobbins. Asymptotically Efficient Adaptive Allocation Rules , 2022 .