Shankar Vembu

According to our database1, Shankar Vembu authored at least 30 papers between 2004 and 2017.

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Timeline

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Bibliography

2017
Implementing Recommendation Algorithms in a Large-Scale Biomedical Science Knowledge Base.
CoRR, 2017

2016
Interactive Learning from Multiple Noisy Labels.
CoRR, 2016

Interactive Learning from Multiple Noisy Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors.
CoRR, 2014

Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors.
CoRR, 2014

Inferring clonal evolution of tumors from single nucleotide somatic mutations.
BMC Bioinformatics, 2014

An Efficient Algorithm to Integrate Network and Attribute Data for Gene Function Prediction.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013
Beam search algorithms for multilabel learning.
Machine Learning, 2013

2012
Inhibition in Multiclass Classification.
Neural Computation, 2012

Modeling the Clonal Evolution of Cancer from Next Generation Sequencing Data
CoRR, 2012

Predicting accurate probabilities with a ranking loss
CoRR, 2012

Probabilistic Structured Predictors
CoRR, 2012

Learning and Inference in Probabilistic Classifier Chains with Beam Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Predicting accurate probabilities with a ranking loss.
Proceedings of the 29th International Conference on Machine Learning, 2012

Dynamical SVM for Time Series Classification.
Proceedings of the Pattern Recognition, 2012

2010
Learning to predict combinatorial structures.
PhD thesis, 2010

Automatic Model Adaptation for Complex Structured Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Label Ranking Algorithms: A Survey.
Proceedings of the Preference Learning., 2010

2009
On structured output training: hard cases and an efficient alternative.
Machine Learning, 2009

Learning to Predict Combinatorial Structures
CoRR, 2009

Probabilistic Structured Predictors.
Proceedings of the UAI 2009, 2009

On Structured Output Training: Hard Cases and an Efficient Alternative.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2007
DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO).
J. Web Semant., 2007

Semidefinite Ranking on Graphs.
Proceedings of the Mining and Learning with Graphs, 2007

2006
On the Use of Topic Models for Word Completion.
Proceedings of the Advances in Natural Language Processing, 2006

Are we Ready to Embrace the Semantic Web?
Proceedings of the Content-Based Retrieval, 23.04. - 28.04.2006, 2006

2005
Separation of Vocals from Polyphonic Audio Recordings .
Proceedings of the ISMIR 2005, 2005

2004
Towards a Socio-cultural Compatibility of MIR Systems.
Proceedings of the ISMIR 2004, 2004

A Self-Organizing Map Based Knowledge Discovery for Music Recommendation Systems.
Proceedings of the Computer Music Modeling and Retrieval: Second International Symposium, 2004


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