Vikas Sindhwani
Vikas Sindhwani
Google Brain
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Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
M Belkin, P Niyogi, V Sindhwani
The Journal of Machine Learning Research 7, 2399-2434, 2006
Encyclopedia of machine learning
C Sammut, GI Webb
Springer Science & Business Media, 2011
Recommender systems.
P Melville, V Sindhwani
Encyclopedia of machine learning 1, 829-838, 2010
Combining active learning and semi-supervised learning using gaussian fields and harmonic functions
X Zhu, J Lafferty, Z Ghahramani
ICML 2003 workshop on the continuum from labeled to unlabeled data in …, 2003
Beyond the point cloud: from transductive to semi-supervised learning
V Sindhwani, P Niyogi, M Belkin
Proceedings of the 22nd international conference on Machine learning, 824-831, 2005
Optimization techniques for semi-supervised support vector machines
O Chapelle, V Sindhwani, SS Keerthi
The Journal of Machine Learning Research 9, 203-233, 2008
Low-rank matrix factorization for deep neural network training with high-dimensional output targets
TN Sainath, B Kingsbury, V Sindhwani, E Arisoy, B Ramabhadran
2013 IEEE international conference on acoustics, speech and signal …, 2013
A co-regularization approach to semi-supervised learning with multiple views
V Sindhwani, P Niyogi, M Belkin
Workshop on Learning with Multiple Views at ICML 2005, 2005
SystemML: Declarative machine learning on MapReduce
A Ghoting, R Krishnamurthy, E Pednault, B Reinwald, V Sindhwani, ...
Data Engineering (ICDE), 2011 IEEE 27th International Conference on, 231-242, 2011
On Manifold Regularization.
M Belkin, P Niyogi, V Sindhwani
AISTATS, 1, 2005
Data quality from crowdsourcing: a study of annotation selection criteria
PY Hsueh, P Melville, V Sindhwani
Proceedings of the NAACL HLT 2009 workshop on active learning for natural …, 2009
Large scale semi-supervised linear SVMs
V Sindhwani, SS Keerthi
Proceedings of the 29th annual international ACM SIGIR conference on …, 2006
Semi-supervised learning
X Zhou, M Belkin
Academic Press Library in Signal Processing 1, 1239-1269, 2014
An RKHS for multi-view learning and manifold co-regularization
V Sindhwani, DS Rosenberg
Proceedings of the 25th international conference on Machine learning, 976-983, 2008
Document-word co-regularization for semi-supervised sentiment analysis
V Sindhwani, P Melville
Data Mining, 2008. ICDM'08. Eighth IEEE International Conference on, 1025-1030, 2008
A non-negative matrix tri-factorization approach to sentiment classification with lexical prior knowledge
T Li, Y Zhang, V Sindhwani
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
Structured transforms for small-footprint deep learning
V Sindhwani, T Sainath, S Kumar
Advances in Neural Information Processing Systems, 3088-3096, 2015
An efficient method for gradient-based adaptation of hyperparameters in SVM models
S Keerthi, V Sindhwani, O Chapelle
Branch and bound for semi-supervised support vector machines
O Chapelle, V Sindhwani, S Keerthi
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
A Saha, V Sindhwani
Proceedings of the fifth ACM international conference on Web search and data …, 2012
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Artiklar 1–20