A maximum partial entropy-based method for multiple-instance concept learning
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[1] Zhi-Hua Zhou,et al. Multi-Instance Learning Based Web Mining , 2005, Applied Intelligence.
[2] Giancarlo Ruffo,et al. Learning single and multiple instance decision tree for computer security applications , 2000 .
[3] Wang Fei,et al. Structural Domain Based Multiple Instance Learning for Predicting Gram-Positive Bacterial Protein Subcellular Localization , 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.
[4] Rujie Liu,et al. Multi-graph multi-instance learning for object-based image and video retrieval , 2012, ICMR '12.
[5] Zhi-Hua Zhou,et al. Multi-instance learning by treating instances as non-I.I.D. samples , 2008, ICML '09.
[6] William M. Smith,et al. A Study of Thinking , 1956 .
[7] James R. Foulds,et al. A review of multi-instance learning assumptions , 2010, The Knowledge Engineering Review.
[8] William M. Smith,et al. A Study of Thinking , 1956 .
[9] Jun Wang,et al. Solving the Multiple-Instance Problem: A Lazy Learning Approach , 2000, ICML.
[10] Weixiong Zhang,et al. Promoter prediction based on a multiple instance learning scheme , 2010, BCB '10.
[11] Peter Auer,et al. On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach , 1997, ICML.
[12] Zhi-Hua Zhou,et al. Adapting RBF Neural Networks to Multi-Instance Learning , 2006, Neural Processing Letters.
[13] Zhiquan Qi,et al. Online multiple instance boosting for object detection , 2011, Neurocomputing.
[14] Xin Xu,et al. Logistic Regression and Boosting for Labeled Bags of Instances , 2004, PAKDD.
[15] Yann Chevaleyre,et al. Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem , 2001, Canadian Conference on AI.
[16] Ming-Hsuan Yang,et al. Robust Object Tracking with Online Multiple Instance Learning , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Tao Xu,et al. Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy , 2012, MLDM.
[18] Pietro Perona,et al. Multiple Component Learning for Object Detection , 2008, ECCV.
[19] Murat Dundar,et al. Bayesian multiple instance learning: automatic feature selection and inductive transfer , 2008, ICML '08.
[20] Qi Zhang,et al. EM-DD: An Improved Multiple-Instance Learning Technique , 2001, NIPS.
[21] Adam Tauman Kalai,et al. A Note on Learning from Multiple-Instance Examples , 2004, Machine Learning.
[22] Kaspar Riesen,et al. IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning , 2008, SSPR/SPR.
[23] Tomás Lozano-Pérez,et al. A Framework for Multiple-Instance Learning , 1997, NIPS.
[24] Tao Xu,et al. A multiple instance learning based framework for semantic image segmentation , 2010, Multimedia Tools and Applications.
[25] Mark Craven,et al. Supervised versus multiple instance learning: an empirical comparison , 2005, ICML.
[26] Mykola Pechenizkiy,et al. HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning , 2013, Inf. Sci..
[27] Silviu Guiaşu,et al. Information theory with applications , 1977 .
[28] Thomas G. Dietterich,et al. Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..
[29] Tao Xu,et al. Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning , 2011, MLDM.
[30] Greg Mori,et al. Multiple instance real boosting with aggregation functions , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[31] Jaume Amores,et al. Multiple instance classification: Review, taxonomy and comparative study , 2013, Artif. Intell..
[32] Tao Xu,et al. Future directions in Multiple Instance Learning , 2013 .
[33] Thomas Hofmann,et al. Support Vector Machines for Multiple-Instance Learning , 2002, NIPS.
[34] Paul D. Gader,et al. Random set framework for multiple instance learning , 2011, Inf. Sci..
[35] Horst Bischof,et al. MIForests: Multiple-Instance Learning with Randomized Trees , 2010, ECCV.
[36] Hongbin Zha,et al. Adaptive p-posterior mixture-model kernels for multiple instance learning , 2008, ICML '08.
[37] Thomas Gärtner,et al. Multi-Instance Kernels , 2002, ICML.