Multi-Instance Learning

[1]  Sally A. Goldman,et al.  MISSL: multiple-instance semi-supervised learning , 2006, ICML.

[2]  Joseph F. Murray,et al.  Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application , 2005, J. Mach. Learn. Res..

[3]  Mark Craven,et al.  Supervised versus multiple instance learning: an empirical comparison , 2005, ICML.

[4]  Ashwin Srinivasan,et al.  Multi-instance tree learning , 2005, ICML.

[5]  N. V. Vinodchandran,et al.  SVM-based generalized multiple-instance learning via approximate box counting , 2004, ICML.

[6]  Xin Xu,et al.  Logistic Regression and Boosting for Labeled Bags of Instances , 2004, PAKDD.

[7]  Sally A. Goldman,et al.  A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns , 1999, Machine Learning.

[8]  J. Ross Quinlan,et al.  Learning logical definitions from relations , 1990, Machine Learning.

[9]  Adam Tauman Kalai,et al.  A Note on Learning from Multiple-Instance Examples , 2004, Machine Learning.

[10]  Bernhard Pfahringer,et al.  A Two-Level Learning Method for Generalized Multi-instance Problems , 2003, ECML.

[11]  David D. Jensen,et al.  Identifying Predictive Structures in Relational Data Using Multiple Instance Learning , 2003, ICML.

[12]  Stan Matwin,et al.  Feature Subset Selection and Inductive Logic Programming , 2002, ICML.

[13]  Qi Zhang,et al.  Content-Based Image Retrieval Using Multiple-Instance Learning , 2002, ICML.

[14]  Thomas Gärtner,et al.  Multi-Instance Kernels , 2002, ICML.

[15]  Thomas Hofmann,et al.  Support Vector Machines for Multiple-Instance Learning , 2002, NIPS.

[16]  Zhi-Hua Zhou,et al.  Neural Networks for Multi-Instance Learning , 2002 .

[17]  Stephen Kwek,et al.  Real-valued multiple-instance learning with queries , 2001, J. Comput. Syst. Sci..

[18]  Andrew G. Barto,et al.  Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density , 2001, ICML.

[19]  David Page,et al.  Multiple Instance Regression , 2001, ICML.

[20]  Sally A. Goldman,et al.  Multiple-Instance Learning of Real-Valued Data , 2001, J. Mach. Learn. Res..

[21]  Stephen Kwek,et al.  Agnostic Learning of Geometric Patterns , 2001, J. Comput. Syst. Sci..

[22]  Qi Zhang,et al.  EM-DD: An Improved Multiple-Instance Learning Technique , 2001, NIPS.

[23]  Jun Wang,et al.  Solving the Multiple-Instance Problem: A Lazy Learning Approach , 2000, ICML.

[24]  Jan Ramon,et al.  Multi instance neural networks , 2000, ICML 2000.

[25]  Hendrik Blockeel,et al.  Top-Down Induction of First Order Logical Decision Trees , 1998, AI Commun..

[26]  Luc De Raedt,et al.  Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract) , 1998, ILP.

[27]  Oded Maron,et al.  Learning from Ambiguity , 1998 .

[28]  Tomás Lozano-Pérez,et al.  A Framework for Multiple-Instance Learning , 1997, NIPS.

[29]  Peter Auer,et al.  On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach , 1997, ICML.

[30]  Aravind Srinivasan,et al.  Approximating hyper-rectangles: learning and pseudo-random sets , 1997, STOC '97.

[31]  Thomas G. Dietterich,et al.  Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..

[32]  Philip M. Long,et al.  PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples , 1996, COLT '96.

[33]  William W. Cohen.  Fast Effective Rule Induction , 1995, ICML.

[34]  Michael Kearns,et al.  Efficient noise-tolerant learning from statistical queries , 1993, STOC.

[35]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[36]  Dana Angluin,et al.  Queries and concept learning , 1988, Machine Learning.

[37]  N. Littlestone.  Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).

[38]  Leslie G. Valiant,et al.  A theory of the learnable , 1984, STOC '84.