Nonparametric Probabilistic Modelling

[1]  Jure Leskovec,et al.  Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model , 2011, UAI.

[2]  Thomas L. Griffiths,et al.  The Indian Buffet Process: An Introduction and Review , 2011, J. Mach. Learn. Res..

[3]  Mikkel N. Schmidt,et al.  Infinite multiple membership relational modeling for complex networks , 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

[4]  Zoubin Ghahramani,et al.  Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling , 2010, The Annals of Applied Statistics.

[5]  Zoubin Ghahramani,et al.  Scaling the iHMM: Parallelization versus Hadoop , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[6]  Thomas L. Griffiths,et al.  Nonparametric Latent Feature Models for Link Prediction , 2009, NIPS.

[7]  Peter D. Hoff,et al.  Multiplicative latent factor models for description and prediction of social networks , 2009, Comput. Math. Organ. Theory.

[8]  Tai Sing Lee,et al.  The Block Diagonal Infinite Hidden Markov Model , 2009, AISTATS.

[9]  Yee Whye Teh,et al.  Beam sampling for the infinite hidden Markov model , 2008, ICML '08.

[10]  Edoardo M. Airoldi,et al.  Mixed Membership Stochastic Blockmodels , 2007, NIPS.

[11]  Zoubin Ghahramani,et al.  Modeling Dyadic Data with Binary Latent Factors , 2006, NIPS.

[12]  Thomas L. Griffiths,et al.  Learning Systems of Concepts with an Infinite Relational Model , 2006, AAAI.

[13]  Thomas L. Griffiths,et al.  Infinite latent feature models and the Indian buffet process , 2005, NIPS.

[14]  Gal Chechik,et al.  Euclidean Embedding of Co-occurrence Data , 2004, J. Mach. Learn. Res..

[15]  Radford M. Neal,et al.  A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model , 2004 .

[16]  Peter D. Hoff,et al.  Latent Space Approaches to Social Network Analysis , 2002 .

[17]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Radford M. Neal.  Markov Chain Sampling Methods for Dirichlet Process Mixture Models , 2000 .

[19]  Michael I. Jordan,et al.  Probabilistic Independence Networks for Hidden Markov Probability Models , 1997, Neural Computation.

[20]  Zoubin Ghahramani,et al.  Bayesian Time Series Models: Nonparametric hidden Markov models , 2011 .

[21]  Sean R. Collins,et al.  Supporting Online Material : Comprehensive characterization of genes required for protein folding in the endoplasmic reticulum , 2009 .

[22]  Talya Porat,et al.  Lecture Notes in Computer Science (LNCS) , 2007 .

[23]  Radford M. Neal.  Slice Sampling , 2003, The Annals of Statistics.