Multiple-Instance Learning Bibliography

Integrated segmentation and recognition of hand-printed numerals
J. D. Keeler and D. E. Rumelhart and W. K. Leow
Neural Information Processing Systems 3       (1990)

A linear programming approach to logical inference
E. U. Stickel
Proceedings of the 1993 ACM conference on Computer science     100--106  (1993)

Solving the multiple instance problem with axis-parallel rectangles
T. G. Dietterich and R. H. Lathrop and T. Lozano-Perez
Artificial Intelligence   89  31--71  (1997)

On learning from multi-instance examples: Empirical evaluation of a theoretical approach
P. Auer
Machine Learning     21--29  (1997)

Multiple-instance learning for natural scene classification
O. Maron and A. L. Ratan
The Fifteenth International Conference on Machine Learning     341--349  (1998)

PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples
P. M. Long and L. Tan
Machine Learning   30  7--21  (1998)

Attribute-Value Learning Versus Inductive Logic Programming: The Missing Links (Extended Abstract)
L. De Raedt
Proceedings of the 8th International Conference on Inductive Logic Programming, Lecture Notes in Artificial Intelligence, Springer-Verlag   1446    (1998)

Learning from Ambiguity
O. Maron
Massachusetts Institute of Technology      (1998)

A framework for multiple-instance learning
O. Maron and T. Lozano-Perez
Advances in Neural Information Processing Systems   10  570--576  (1998)

A Note on Learning from Multiple-Instance Examples
A. Blum and A. Kalai
Machine Learning   30  23--29  (1998)

Scaling Up Inductive Logic Programming by Learning from Interpretations
H. Blockeel and L. De Raedt and N. Jacobs and B. Demoen
Data Mining and Knowledge Discovery   3  59--93  (1999)

Noise-tolerant rule induction from multi-instance data
Y. Chevaleyre and J. Zucker
Proceedings of the ICML-2000 workshop on Attribute-Value and Relational Learning: Crossing the Boundaries       (2000)

Solving the Multiple-Instance Problem: A Lazy Learning Approach
J. Wang and J. D. Zucker
Proc. 17th International Conf. on Machine Learning     1119--1125  (2000)

Multi instance neural networks
J. Ramon and L. De Raedt
Proceedings of ICML-2000, Workshop on Attribute-Value and Relational Learning       (2000)

EM-DD: An improved multiple-instance learning technique
Q. Zhang and S. A. Goldman
Neural Information Processing Systems   14  1073--1080  (2001)

Multiple instance regression
S. Ray and D. Page
Proceedings of the Eighteenth International Conference on Machine Learning     425--432  (2001)

Real-valued multiple-instance learning with queries
D. R. Dooly and S. A. Goldman and S. S. Kwek
Algorithmic Learning Theory - Lecture Notes in Artificial Intelligence   2225  167--180  (2001)

Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem
J. D. Zucker and Y. Chevaleyre
14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence       (2001)

How to upgrade propositional learners to first order logic: A case study
W. Van Laer and L. De Raedt
Relational Data Mining     235--261  (2001)

Support vector machine active learning for image retrieval
S. Tong and E. Chang
Proceedings of the ninth ACM international conference on Multimedia     107--118  (2001)

Multiple instance regression
S. Ray and D. Page
Proceedings of the Eighteenth International Conference on Machine Learning     425--432  (2001)

Transformation-Based Learning Using Multirelational Aggregation
M. A. Krogel and S. Wrobel
Proceedings of the Eleventh International Conference on Inductive Logic Programming   2157  142--155  (2001)

SIMPLIcity: semantics-sensitive integrated matching for picture libraries
J. Wang and J. Li and G. Wiederhold
Pattern Analysis and Machine Intelligence, IEEE Transactions on   23  947--963  (2001)

Content-Based Image Retrieval Using Multiple-Instance Learning
Q. Zhang and S. A. Goldman and W. Yu and J. E. Fritts
Proc. 19th International Conf. on Machine Learning     682--689  (2002)

Machine learning with data dependent hypothesis classes
A. Cannon and J. M. Ettinger and D. Hush and C. Scovel
The Journal of Machine Learning Research   2  335--358  (2002)

Learning rules from multiple instance data: Issues and algorithms
Y. Chevaleyre and N. Bredeche and J. D. Zucker
Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU02)       (2002)

Neural networks for multi-instance learning
Z. H. Zhou and M. L. Zhang
Proceedings of the International Conference on Intelligent Information Technology, Beijing, China     455--459  (2002)

Multi-instance kernels
T. Gartner and P. A. Flach and A. Kowalczyk and A. J. Smola
Proceedings of the 19th International Conference on Machine Learning     179--186  (2002)

Support vector machines for multiple-instance learning
S. Andrews and I. Tsochantaridis and T. Hofmann
Advances in Neural Information Processing Systems   15    (2002)

Multiple-instance learning of real-valued data
D. R. Dooly and Q. Zhang and S. A. Goldman and R. A. Amar
Journal of Machine Learning Research   3  651--678  (2002)

User Concept Pattern Discovery Using Relevance Feedback and Multiple Instance Learning for Content-Based Image Retrieval
X. Huang and S. C. Chen and M. L. Shyu and C. Zhang
Proc. of the 3 rdInternational Workshop on Multimedia Data Mining     100--108  (2002)

A kernel between sets of vectors
R. Kondor and T. Jebara
Proceedings of the ICML       (2003)

Perceptual learning and abstraction in machine learning
N. Bredeche and S. Zhongzhi and J. D. Zucker
Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on     18--25  (2003)

Aggregation-based feature invention and relational concept classes
C. Perlich and F. Provost
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining     167--176  (2003)

Biological applications of multi-relational data mining
D. Page and M. Craven
ACM SIGKDD Explorations Newsletter   5  69--79  (2003)

Multiple-Instance Learning of Real-Valued Geometric Patterns
S. A. Goldman and S. D. Scott
Annals of Mathematics and Artificial Intelligence   39  259--290  (2003)

Ensembles of multi-instance learners
Z. H. Zhou and M. L. Zhang
Lecture Notes in Artificial Intelligence   2837  492--502  (2003)

Online learning for object identification by a mobile robot
N. Bredeche and J. D. Zucker and S. Zhongzhi
Computational Intelligence in Robotics and Automation, Proceedings IEEE International Symposium on   2    (2003)

A two-level learning method for generalized multi-instance problems
N. Weidmann and E. Frank and B. Pfahringer
Proceedings of the European Conference on Machine Learning     468--479  (2003)

Identifying predictive structures in relational data using multiple instance learning
A. McGovern and D. Jensen
Proc of the 20th Intl Conf on Machine Learning     528--535  (2003)

An open multiple instance learning framework and its application in drug activity prediction problems
X. Huang and S. C. Chen and M. L. Shyu
Bioinformatics and Bioengineering, 2003. Proceedings. Third IEEE Symposium on     53--59  (2003)

Applying Propositional Learning Algorithms to Multi-instance data
E. Frank and X. Xu
University of Waikato       (2003)

Incorporating real-valued multiple instance learning into relevance feedback for image retrieval
X. Hunag and S. C. Chen and M. L. Shyu
Multimedia and Expo, 2003. ICME'03. Proceedings. 2003 International Conference on   1    (2003)

Improved Distances for Structured Data
D. Mavroeidis and P. Flach
Proceedings of the 13th International Conference on Inductive Logic Programming   2835  251--268  (2003)

Images as bags of pixels
T. Jebara
9 thInternational Conference on Computer Vision   1  265--272  (2003)

Learning over Sets using Kernel Principal Angles
L. Wolf and A. Shashua
Journal of Machine Learning Research   4  913--931  (2004)

A Constrained Semi-Supervised Learning Approach to Data Association
H. Kuck and P. Carbonetto and N. de Freitas
European Conference for Computer Vision (ECCV)       (2004)

Logistic Regression and Boosting for Labeled Bags of Instances
E. Frank and X. Xu
Knowledge Discovery and Data Mining       (2004)

A Faster Algorithm for Generalized Multiple-Instance Learning
Q. Tao and S. D. Scott
AAAI       (2004)

Multiple Instance Learning via Disjunctive Programming Boosting
S. Andrews and T. Hofmann
Proc. NIPS Advances in Neural Information Processing Systems 16   16    (2004)

SVM-Based Generalized Multiple-Instance Learning via Approximate Box Counting
Q. Tao and S. Scott and N. Vinodchandran and T. T. Osugi
Proceedings of the 21st International Conference on Machine Learning       (2004)

Image Categorization by Learning and Reasoning with Regions
Y. Chen and J. Z. Wang
The Journal of Machine Learning Research   5  913--939  (2004)

Kernels and Distances for Structured Data
T. Gärtner and J. W. Lloyd and P. A. Flach
Machine Learning   57  205--232  (2004)

Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics
M. A. Krogel and T. Scheffer
Machine Learning   57  61--81  (2004)

MILL: A Multi-Instance Learning Library
J. Yang
      (2005)
http://www-2.cs.cmu.edu/~juny/IR-lab/

Multiple instance learning for labeling faces in broadcasting news video
J. Yang and R. Yan and A. G. Hauptmann
Proceedings of the 13th annual ACM international conference on Multimedia     31--40  (2005)

Multiple instance boosting for object detection
P. A. Viola and J. Platt and C. Zhang
Proceedings of NIPS       (2005)

A sparse support vector machine approach to region-based image categorization
J. Bi and Y. Chen and J. Wang
IEEE Conf. on Computer Vision and Pattern Recognition     1121--1128  (2005)

Learning about individuals from group statistics
H. Kuck and N. de Freitas
Proceedings of the Conference on Uncertainty in Artificial Intelligence       (2005)

Supervised versus multiple instance learning: An empirical comparison
S. Ray and M. Craven
Proceedings of the Twentieth-Second International Conference on Machine Learning     697--704  (2005)

ON GENERALIZED MULTIPLE-INSTANCE LEARNING
S. Scott and J. Zhang and J. Brown
International Journal of Computational Intelligence and Applications   5  21--35  (2005)

MILES: Multiple-Instance Learning via Embedded Instance Selection
Y. Chen and J. Bi and J. Z. Wang
IEEE Trans. Pattern Anal. Mach. Intell   28  12  (2006)

Motif Discovery as a Multiple-Instance Problem
Y. Zhang and Y. Chen and X. Ji
Tools with Artificial Intelligence, 18th IEEE International Conference on     805--809  (2006)

A Cutting-Plane Algorithm for Learning from Ambiguous Examples
S. Andrews and T. Hofmann
Brown University       (2006)

Adapting RBF Neural Networks to Multi-Instance Learning
M. L. Zhang and Z. H. Zhou
Neural Processing Letters   23  1--26  (2006)

Multi-Instance Multi-Label Learning with Application to Scene Classification
Z. Zhou and M. Zhang
Advances in Neural Information Processing Systems 19     1609--1616  (2007)

Deterministic Annealing for Multiple-Instance Learning
P. V. Gehler and O. Chapelle
Proc. 11th Intl. Conf. Artificial Intelligence and Statistics       (2007)