452 citations · 601 across the 8 of their papers we have counts for
8 papers
Probabilistic Models for Query Approximation with Large Sparse Binary Datasets
Dmitry Y. Pavlov, Heikki Mannila, Padhraic Smyth
Large sparse sets of binary transaction data with millions of records and thousands of attributes occur in various domains: customers purchasing products, users visiting web pages,…
Probabilistic models for joint clustering and time-warping of multidimensional curves
Darya Chudova, Scott Gaffney, Padhraic Smyth
In this paper we present a family of algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our approach is based on…
Windows into Relational Events: Data Structures for Contiguous Subsequences of Edges
Michael J. Bannister, Christopher DuBois, David Eppstein +1
We consider the problem of analyzing social network data sets in which the edges of the network have timestamps, and we wish to analyze the subgraphs formed from edges in contiguou…
The Author-Topic Model for Authors and Documents
Michal Rosen-Zvi, Thomas Griffiths, Mark Steyvers +1
We introduce the author-topic model, a generative model for documents that extends Latent Dirichlet Allocation (LDA; Blei, Ng, & Jordan, 2003) to include authorship information. Ea…
Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models
Seyoung Kim, Padhraic Smyth, Stefan Luther
In this paper we describe a general probabilistic framework for modeling waveforms such as heartbeats from ECG data. The model is based on segmental hidden Markov models (as used i…
Conditional Chow-Liu Tree Structures for Modeling Discrete-Valued Vector Time Series
Sergey Kirshner, Padhraic Smyth, Andrew Robertson
We consider the problem of modeling discrete-valued vector time series data using extensions of Chow-Liu tree models to capture both dependencies across time and dependencies acros…