ニュース
|
|
主要成果:
1. Einoshin Suzuki: "Compression-based Measures for Mining Interesting
Rules", Next-Generatation Applied Intelligence (IEA/AIE), LNAI
5579, pp. 741-746, Springer-Verlag, Tainan, Taiwan, 2009 (invited talk at a special session).
2. Daisuke Ikeda, Einoshin Suzuki: Mining Peculiar Compositions of
Frequent Substrings from Sparse Text Data using Background Texts,
Machine Learning and Knowledge Discovery in Databases (ECML/PKDD),
Vol. 1, LNAI 5781, Springer-Verlag, pp. 596-611, September 2009, Bled, Slovenia.
3. JianBin Wang, Bin-Hui Chou, Einoshin Suzuki: Finding the k-Most Abnormal Subgraphs from a Single Graph,
Discovery Science, Lecture Notes in Artificial Intelligence 5808 (DS), Springer-Verlag, pp. 441-448,
October 2009, Porto, Portugal.
4. Bin Tong and Einoshin Suzuki: "Subclass-oriented Dimension
Reduction with Constraint Transformation and Manifold
Regularization", Advances in Knowledge Discovery and Data Mining
(PAKDD), Part II, LNAI 6119, Springer-Verlag,
pp. 1-13, June 2010, Hyderabad, India.
5. Bin Tong, Shao Hao, Bin-Hui Chou, and Einoshin Suzuki:
"Semi-Supervised Projection Clustering with Transferred Centroid
Regularization", Machine Learning and Knowledge Discovery in
Databases (ECML/PKDD), Part III, LNCS 6323, Springer-Verlag,
pp. 306-321, September 2010, Barcelona.
6. Bin Tong, ZhiGuang Qin, and Einoshin Suzuki:
"Topology Preserving SOM with Transductive Confidence Machine", Discovery Science, Lecture Notes in Artificial Intelligence (DS), LNAI 6332, Springer-Verlag,
pp. 27-41, October 2010, Canberra.
7. Einoshin Suzuki: "Discovering a Partial Decision List for
Understanding the Controller of a Reactive Robot", Mining patterns
and subgroups (MPS). Lorentz Center Workshop, University of Leiden,
November 2010, Leiden, Netherlands.
8. Bin-Hui Chou and Einoshin Suzuki: "Role Discovery for Graph
Clustering", Web Technologies and Applications (APWeb 2011), pp. 17-28, LNCS 6612,
Springer-Verlag, Beijing, April 2011.
9. Bin Tong, Junbin Gao, Nguyen Huy Thach, and Einoshin Suzuki: "Gaussian Process for Dimensionality
Reduction in Transfer Learning", Proc. Eleventh SIAM International
Conference on Data Mining (SDM 2011),
pp. 783-270, Phoenix/Mesa, Arizona, April 2011.
10. Shao Hao and Einoshin Suzuki: "Feature-based Inductive Transfer Learning through Minimum Encoding", Proc. Eleventh SIAM International
Conference on Data Mining (SDM 2011),
pp. 259-270, Phoenix/Mesa, Arizona, April 2011.
11. Nguyen Huy Thach, Shao Hao, Bin Tong, and Einoshin Suzuki: "A
Compression-based Dissimilarity Measure for Multi-task Clustering",
Foundations of Intelligent Systems, LNAI 6804 (ISMIS 2011), pp. 123-132, Springer, Warsaw, June 2011.
12. Shao Hao, Bin Tong, and Einoshin Suzuki:
"Compact Coding for Hyperplane Classifiers in Heterogeneous Environment", Machine Learning and Knowledge Discovery in
Databases (ECML/PKDD), Part ?, LNCS ?, Springer-Verlag,
pp. ?-?, September 2011, Athens (accepted for publication).
2009/4/1
| プロジェクト開始
|