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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 7 occurrences of 7 keywords
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Results
Found 30 publication records. Showing 30 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Ankan Saha, Vikas Sindhwani |
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization.  |
WSDM  |
2012 |
DBLP DOI BibTeX RDF |
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| 1 | Vikas Sindhwani, Amol Ghoting, Edison Ting, Richard D. Lawrence |
Extracting insights from social media with large-scale matrix approximations.  |
IBM Journal of Research and Development  |
2011 |
DBLP DOI BibTeX RDF |
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| 1 | Vijil Chenthamarakshan, Prem Melville, Vikas Sindhwani, Richard D. Lawrence |
Concept Labeling: Building Text Classifiers with Minimal Supervision.  |
IJCAI  |
2011 |
DBLP BibTeX RDF |
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| 1 | Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan |
SystemML: Declarative machine learning on MapReduce.  |
ICDE  |
2011 |
DBLP DOI BibTeX RDF |
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| 1 | Ha Quang Minh, Vikas Sindhwani |
Vector-valued Manifold Regularization.  |
ICML  |
2011 |
DBLP BibTeX RDF |
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| 1 | Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani |
Emerging topic detection using dictionary learning.  |
CIKM  |
2011 |
DBLP DOI BibTeX RDF |
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| 1 | Vikas Sindhwani, Aurelie C. Lozano |
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels.  |
NIPS  |
2011 |
DBLP BibTeX RDF |
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| 1 | Prem Melville, Vikas Sindhwani |
Recommender Systems.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
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| 1 | Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu, Aleksandra Mojsilovic |
One-Class Matrix Completion with Low-Density Factorizations.  |
ICDM  |
2010 |
DBLP DOI BibTeX RDF |
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| 1 | Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang 0005 |
Bridging Domains with Words: Opinion Analysis with Matrix Tri-factorizations.  |
SDM  |
2010 |
DBLP BibTeX RDF |
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| 1 | Aurelie C. Lozano, Vikas Sindhwani |
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference.  |
NIPS  |
2010 |
DBLP BibTeX RDF |
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| 1 | Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yan Feng Zhu |
Winning the KDD Cup Orange Challenge with Ensemble Selection.  |
Journal of Machine Learning Research - Proceedings Track  |
2009 |
DBLP BibTeX RDF |
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| 1 | Vijil Chenthamarakshan, K. Dey, Jianying Hu, Aleksandra Mojsilovic, W. Riddle, Vikas Sindhwani |
Leveraging social networks for corporate staffing and expert recommendation.  |
IBM Journal of Research and Development  |
2009 |
DBLP DOI BibTeX RDF |
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| 1 | Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikonda |
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework.  |
ICDM Workshops  |
2009 |
DBLP DOI BibTeX RDF |
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| 1 | Tao Li, Yi Zhang 0005, Vikas Sindhwani |
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge.  |
ACL/AFNLP  |
2009 |
DBLP BibTeX RDF |
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| 1 | Tao Li, Vikas Sindhwani, Chris H. Q. Ding, Yi Zhang 0005 |
Knowledge transformation for cross-domain sentiment classification.  |
SIGIR  |
2009 |
DBLP DOI BibTeX RDF |
sentiment analysis, transfer learning, non-negative matrix factorization |
| 1 | Vikas Sindhwani, Prem Melville, Richard D. Lawrence |
Uncertainty sampling and transductive experimental design for active dual supervision.  |
ICML  |
2009 |
DBLP DOI BibTeX RDF |
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| 1 | Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi |
Optimization Techniques for Semi-Supervised Support Vector Machines.  |
Journal of Machine Learning Research  |
2008 |
DBLP DOI BibTeX RDF |
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| 1 | Vikas Sindhwani, Prem Melville |
Document-Word Co-regularization for Semi-supervised Sentiment Analysis.  |
ICDM  |
2008 |
DBLP DOI BibTeX RDF |
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| 1 | Vikas Sindhwani, David S. Rosenberg |
An RKHS for multi-view learning and manifold co-regularization.  |
ICML  |
2008 |
DBLP DOI BibTeX RDF |
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| 1 | Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovic |
Regularized Co-Clustering with Dual Supervision.  |
NIPS  |
2008 |
DBLP BibTeX RDF |
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| 1 | Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi |
Semi-Supervised Gaussian Process Classifiers.  |
IJCAI  |
2007 |
DBLP BibTeX RDF |
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| 1 | Mikhail Belkin, Partha Niyogi, Vikas Sindhwani |
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples.  |
Journal of Machine Learning Research  |
2006 |
DBLP BibTeX RDF |
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| 1 | Vikas Sindhwani, S. Sathiya Keerthi |
Large scale semi-supervised linear SVMs.  |
SIGIR  |
2006 |
DBLP DOI BibTeX RDF |
support vector machines, global optimization, text categorization, unlabeled data |
| 1 | Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle |
Deterministic annealing for semi-supervised kernel machines.  |
ICML  |
2006 |
DBLP DOI BibTeX RDF |
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| 1 | Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi |
Branch and Bound for Semi-Supervised Support Vector Machines.  |
NIPS  |
2006 |
DBLP BibTeX RDF |
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| 1 | Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi |
Relational Learning with Gaussian Processes.  |
NIPS  |
2006 |
DBLP BibTeX RDF |
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| 1 | S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle |
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models.  |
NIPS  |
2006 |
DBLP BibTeX RDF |
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| 1 | Vikas Sindhwani, Partha Niyogi, Mikhail Belkin |
Beyond the point cloud: from transductive to semi-supervised learning.  |
ICML  |
2005 |
DBLP DOI BibTeX RDF |
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| 1 | Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, José Carlos Príncipe, Partha Niyogi |
Feature selection in MLPs and SVMs based on maximum output information.  |
IEEE Transactions on Neural Networks  |
2004 |
DBLP DOI BibTeX RDF |
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