Padhraic Smyth

Padhraic Smyth

20 Papers

Continuous-Time Regression Models for Longitudinal Networks (2011)

Learning concept graphs from text with stick-breaking priors (2010)

Particle-based Variational Inference for Continuous Systems (2009)

Asynchronous Distributed Learning of Topic Models (2008)

Distributed Inference for Latent Dirichlet Allocation (2007)

Hierarchical Dirichlet Processes with Random Effects (2006)

Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models (2006)

Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model (2006)

Joint Probabilistic Curve Clustering and Alignment (2004)

Gene Expression Clustering with Functional Mixture Models (2003)

Learning to Classify Galaxy Shapes Using the EM Algorithm (2002)

Bayesian Predictive Profiles With Applications to Retail Transaction Data (2001)

Model Complexity, Goodness of Fit and Diminishing Returns (2000)

Stacked Density Estimation (1997)

Clustering Sequences with Hidden Markov Models (1996)

Inferring Ground Truth from Subjective Labelling of Venus Images (1994)

Probabilistic Anomaly Detection in Dynamic Systems (1993)

Fault Diagnosis of Antenna Pointing Systems using Hybrid Neural Network and Signal Processing Models (1991)

On Stochastic Complexity and Admissible Models for Neural Network Classifiers (1990)

An Information Theoretic Approach to Rule-Based Connectionist Expert Systems (1988)