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Bhattacharyya, Chiranjib - Department of Computer Science and Automation, Indian Institute of Science, Bangalore
Structural Alignment based Kernels for Protein Structure Classification
Signal Processing 83 (2003) 729743 www.elsevier.com/locate/sigpro
Structured Learning for Non-Smooth Ranking Losses Soumen Chakrabarti
Kernels for Large Margin Time-Series Classification Sivaramakrishnan K R, Karthik K and C. Bhattacharyya
Manuscript Number:2098 Improvements to Platt's SMO Algorithm for
A Randomized Algorithm for Large Scale Support Vector Learning
Simultaneous Feature Selection and Classification for Relevance Feedback in Image Retrieval
A variational mean-eld theory for sigmoidal belief networks
Journal of Arti cial Intelligence Research 15 (2001) 91-114 Submitted 2/00; published 08/01 Mean-eld Methods for a Special Class of Belief Networks
A large margin approach for writer independent online handwriting classification
Journal of Machine Learning Research 7 (2006) 12831314 Submitted 7/05; Published 7/06 Second Order Cone Programming Approaches
Robust sparse hyperplane classifiers: application to uncertain molecular profiling data
Kernels on Attributed Pointsets with Applications Mehul Parsana
A Second order Cone Programming Formulation for Classifying Missing Data
Journal of Machine Learning Research 3 (2002) 555-582 Submitted 5/02; Published 12/02 A Robust Minimax Approach to Classification
Clustering Based Large Margin Classification: A Scalable Approach using SOCP Formulation
Simultaneous Relevant Feature Identi cation and Classi cation in High-Dimensional Spaces
Improvements to SMO Algorithm for SVM Regression 1 S.K. Shevade S.S. Keerthi C. Bhattacharyya & K.R.K. Murthy
Focused Crawling with Scalable Ordinal Regression Solvers Rashmin Babaria rashmin@csa.iisc.ernet.in
Frechet Distance based Approach for Searching Online Handwritten Documents R. Sriraghavendra
Interval Data Classification under Partial Information: A Chance-Constraint Approach
Minimax Probability Machine Gert R.G. Lanckriet
Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates
Mathematical Programming Series B manuscript No. (will be inserted by the editor)
Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments