Avleen Bijral
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My research interests includes development of theoretically well understood algorithms specifically in the domain of unsupervised and semi-supervised learning. Another one of my interest is to cover the gap between current machine learning research and other areas of pure mathematics. Applications of interest includes robotics, text mining and bioinformatics.

 

Publications

Avleen Bijral, Markus Breitenbach, Greg Grudic, Mixture of Watson Distributions: A Generative Model for Hyperspherical Embeddings, Accepted to AISTATS, 2007
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Avleen Bijral, Adam Bates, Greg Grudic, Semi-supervised Path Identification using Markov Random Walks, Submitted Robotics Science and Systems, 2007
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Avleen Bijral, Greg Grudic, On Clustering High Dimensional Unit Norm Data, In preparation., 2007
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Avleen Bijral, Girish Palshikar, Mining Interesting Temporal Patterns: An Information Theoretic Approach, proceedings of IICAI, 2005
abstract | pdf