Sugato Basu
Sugato Basu
Principal Scientist at Google
Geverifieerd e-mailadres voor google.com - Homepage
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Semi-supervised clustering by seeding
S Basu, A Banerjee, R Mooney
In Proceedings of 19th International Conference on Machine Learning (ICML-2002, 2002
12072002
Integrating constraints and metric learning in semi-supervised clustering
M Bilenko, S Basu, RJ Mooney
Proceedings of the twenty-first international conference on Machine learning, 11, 2004
10672004
A probabilistic framework for semi-supervised clustering
S Basu, M Bilenko, RJ Mooney
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
10502004
Active semi-supervision for pairwise constrained clustering
S Basu, A Banerjee, RJ Mooney
Proceedings of the 2004 SIAM international conference on data mining, 333-344, 2004
6892004
Constrained clustering: Advances in algorithms, theory, and applications
S Basu, I Davidson, K Wagstaff
CRC Press, 2008
6282008
Semi-supervised graph clustering: a kernel approach
B Kulis, S Basu, I Dhillon, R Mooney
Machine learning 74 (1), 1-22, 2009
6082009
Rolx: structural role extraction & mining in large graphs
K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ...
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
3712012
Planet: massively parallel learning of tree ensembles with mapreduce
B Panda, JS Herbach, S Basu, RJ Bayardo
3592009
Model-based overlapping clustering
A Banerjee, C Krumpelman, J Ghosh, S Basu, RJ Mooney
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
2682005
Measuring constraint-set utility for partitional clustering algorithms
I Davidson, KL Wagstaff, S Basu
European conference on principles of data mining and knowledge discovery …, 2006
2552006
Using isotropic synthetic fluctuations as inlet boundary conditions for unsteady simulations
L Davidson
Advances and applications in Fluid Mechanics, 2007
238*2007
Topic models over text streams: A study of batch and online unsupervised learning
A Banerjee, S Basu
Proceedings of the 2007 SIAM International Conference on Data Mining, 431-436, 2007
1722007
Multi-way clustering on relation graphs
A Banerjee, S Basu, S Merugu
Proceedings of the 2007 SIAM international conference on data mining, 145-156, 2007
1592007
Predicting bounce rates in sponsored search advertisements
D Sculley, RG Malkin, S Basu, RJ Bayardo
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
1192009
Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering
S Basu, M Bilenko, RJ Mooney
Proceedings of the ICML-2003 workshop on the continuum from labeled to …, 2003
1162003
Semi-supervised clustering: probabilistic models, algorithms and experiments
S Basu
912005
Probabilistic Semi-Supervised Clustering with Constraints.
S Basu, M Bilenko, A Banerjee, RJ Mooney
Semi-supervised learning, 73-102, 2006
892006
When is constrained clustering beneficial, and why?
KL Wagstaff, S Basu, I Davidson
Ionosphere 58 (60.1), 62-63, 2006
812006
Evaluating the novelty of text-mined rules using lexical knowledge
S Basu, RJ Mooney, KV Pasupuleti, J Ghosh
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
772001
Synthesis of low power CED circuits based on parity codes
S Ghosh, NA Touba, S Basu
23rd IEEE VLSI Test Symposium (VTS'05), 315-320, 2005
682005
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Artikelen 1–20