Search results

Journal Article (2)

1.
Journal Article
Weston, J.; Leslie, C.; Ie, E.; Zhou, D.; Elisseeff, A.; Noble, W.: Semi-supervised protein classification using cluster kernels. Bioinformatics 21 (15), pp. 3241 - 3247 (2005)
2.
Journal Article
Weston, J.; Elisseeff, A.; Zhou, D.; Leslie, C.; Noble, W.: Protein ranking: from local to global structure in the protein similarity network. Proceedings of the National Academy of Sciences of the United States of America 101 (17), pp. 6559 - 6563 (2004)

Book Chapter (1)

3.
Book Chapter
Zhou, D.; Schölkopf, B.: Discrete Regularization. In: Semi-Supervised Learning, 13, pp. 237 - 250 (Eds. Chapelle, O.; Schölkopf, B.; Zien, A.). MIT Press, Cambridge, MA, USA (2006)

Conference Paper (9)

4.
Conference Paper
Zhou, D.; Huang, J.; Schölkopf, B.: Learning with Hypergraphs: Clustering, Classification, and Embedding. In: Advances in Neural Information Processing Systems 19, pp. 1601 - 1608 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)
5.
Conference Paper
Zhou, D.; Huang, J.; Schölkopf, B.: Learning from Labeled and Unlabeled Data on a Directed Graph. In: ICML '05: 22nd international conference on Machine learning, pp. 1036 - 1043 (Eds. Jozef Stefan Institute, Slovenia Program Chairs: Luc D, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM Press, New York, NY, USA (2005)
6.
Conference Paper
Zhou, D.; Schölkopf, B.: Regularization on Discrete Spaces. In: Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005, pp. 361 - 368 (Eds. Kropatsch, W.; Sablatnig, R.; Hanbury, A.). 27th Annual Symposium of the German Association for Pattern Recognition (DAGM 2005), Wien, Austria, August 31, 2005 - September 02, 2005. Springer, Berlin, Germany (2005)
7.
Conference Paper
Zhou, D.; Schölkopf, B.; Hofmann, T.: Semi-supervised Learning on Directed Graphs. In: Advances in Neural Information Processing Systems 17, pp. 1633 - 1640 (Eds. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, December 13, 2004 - December 16, 2004. MIT Press, Cambridge, MA, USA (2005)
8.
Conference Paper
Zhou, D.; Schölkopf, B.: Learning from Labeled and Unlabeled Data Using Random Walks. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, pp. 237 - 244 (Eds. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, August 30, 2004 - September 01, 2004. Springer, Berlin, Germany (2004)
9.
Conference Paper
Zhou, D.; Schölkopf, B.: A Regularization Framework for Learning from Graph Data. In: ICML 2004 Workshop on Statistical Relational Learning and Its Connections to Other Fields (SRL 2004), pp. 132 - 137. ICML 2004 Workshop on Statistical Relational Learning and Its Connections to Other Fields (SRL 2004), Banff, Canada, July 08, 2004. (2004)
10.
Conference Paper
Weston, J.; Leslie, C.; Zhou, D.; Elisseeff, A.; Noble, W.: Semi-Supervised Protein Classification using Cluster Kernels. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, December 09, 2003 - December 11, 2003. Advances in Neural Information Processing Systems 16, pp. 595 - 602 (2004)
11.
Conference Paper
Zhou, D.; Bousquet, O.; Lal, T.; Weston, J.; Schölkopf, B.: Learning with Local and Global Consistency. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, pp. 321 - 328 (Eds. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, December 08, 2003 - December 13, 2003. MIT Press, Cambridge, MA, USA (2004)
12.
Conference Paper
Zhou, D.; Weston, J.; Gretton, A.; Bousquet, O.; Schölkopf, B.: Ranking on Data Manifolds. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, December 09, 2003 - December 11, 2003. Advances in Neural Information Processing Systems 16, pp. 169 - 176 (2004)

Talk (7)

13.
Talk
Zhou, D.; Huang, J.; Schölkopf, B.: Beyond pairwise classification and clustering using hypergraphs. NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada (2005)
14.
Talk
Zhou, D.: Learning from Labeled and Unlabeled Data on a Directed Graph. The 22nd International Conference on Machine Learning, Bonn, Germany (2005)
15.
Talk
Zhou, D.: Discrete vs. Continuous: Two Sides of Machine Learning. IBM Watson Research Center, Yorktown Heights, NY, USA (2004)
16.
Talk
Zhou, D.: How to learn from very few examples? Google Labs, New York, NY, USA (2004)
17.
Talk
Zhou, D.: Discrete vs. Continuous: Two Sides of Machine Learning. Department of Computer Science, and the Center of Computational Learning Systems: Columbia University, New York, NY, USA (2004)
18.
Talk
Zhou, D.: Riemannian Geometry on Graphs and its Application to Ranking and Classification. DIMACS Working Group on The Mathematics of Web Search and Meta-Search, Bertorino, Italy (2004)
19.
Talk
Zhou, D.: Learning from Labeled and Unlabeled Data: Semi-supervised Learning and Ranking. The Natural Language Computing Group of Microsoft Research Asia, and the Institute of System Sciences, the Chinese Academy of Sciences, Beijing, China (2004)

Report (6)

20.
Report
Zhou, D.; Huang, J.; Schölkopf, B.: Beyond Pairwise Classification and Clustering Using Hypergraphs (Technical Report of the Max Planck Institute for Biological Cybernetics, 143). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 13 pp.
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