Publikationen von D Zhou

Weston, J.; Leslie, C.; Ie, E.; Zhou, D.; Elisseeff, A.; Noble, W.: Semi-supervised protein classification using cluster kernels. Bioinformatics 21 (15), S. 3241 - 3247 (2005)

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), S. 6559 - 6563 (2004)

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

Zhou, D.; Huang, J.; Schölkopf, B.: Learning with Hypergraphs: Clustering, Classification, and Embedding. In: Advances in Neural Information Processing Systems 19, S. 1601 - 1608 (Hg. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)

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, S. 1036 - 1043 (Hg. Jozef Stefan Institute, Slovenia Program Chairs: Luc D, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 07. August 2005 - 11. August 2005. ACM Press, New York, NY, USA (2005)

Zhou, D.; Schölkopf, B.: Regularization on Discrete Spaces. In: Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005, S. 361 - 368 (Hg. Kropatsch, W.; Sablatnig, R.; Hanbury, A.). 27th Annual Symposium of the German Association for Pattern Recognition (DAGM 2005), Wien, Austria, 31. August 2005 - 02. September 2005. Springer, Berlin, Germany (2005)

Zhou, D.; Schölkopf, B.; Hofmann, T.: Semi-supervised Learning on Directed Graphs. In: Advances in Neural Information Processing Systems 17, S. 1633 - 1640 (Hg. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, 13. Dezember 2004 - 16. Dezember 2004. MIT Press, Cambridge, MA, USA (2005)

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, S. 237 - 244 (Hg. Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, 30. August 2004 - 01. September 2004. Springer, Berlin, Germany (2004)

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), S. 132 - 137. ICML 2004 Workshop on Statistical Relational Learning and Its Connections to Other Fields (SRL 2004), Banff, Canada, 08. Juli 2004. (2004)

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, 09. Dezember 2003 - 11. Dezember 2003. Advances in Neural Information Processing Systems 16, S. 595 - 602 (2004)

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, S. 321 - 328 (Hg. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 08. Dezember 2003 - 13. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)

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, 09. Dezember 2003 - 11. Dezember 2003. Advances in Neural Information Processing Systems 16, S. 169 - 176 (2004)

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)

Zhou, D.: Learning from Labeled and Unlabeled Data on a Directed Graph. The 22nd International Conference on Machine Learning, Bonn, Germany (2005)

Zhou, D.: Discrete vs. Continuous: Two Sides of Machine Learning. IBM Watson Research Center, Yorktown Heights, NY, USA (2004)

Zhou, D.: How to learn from very few examples? Google Labs, New York, NY, USA (2004)

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)

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)

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)

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 S.