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Padhraic Smyth
Researcher at University of California, Irvine
Publications - 359
Citations - 38795
Padhraic Smyth is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Inference & Topic model. The author has an hindex of 80, co-authored 342 publications receiving 36653 citations. Previous affiliations of Padhraic Smyth include University of California & Jet Propulsion Laboratory.
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Proceedings Article
Distributed Inference for Latent Dirichlet Allocation
TL;DR: Using five real-world text corpora, it is shown that distributed learning works very well for LDA models, i.e., perplexity and precision-recall scores for distributed learning are indistinguishable from those obtained with single-processor learning.
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Cluster Analysis of Typhoon Tracks. Part I: General Properties
TL;DR: In this article, a probabilistic clustering technique based on a regression mixture model was used to describe tropical cyclone trajectories in the western North Pacific, where each component of the mixture model consists of a quadratic regression curve of cyclone position against time.
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Adaptive event detection with time-varying poisson processes
TL;DR: The experimental results indicate that the proposed time-varying Poisson model provides a robust and accurate framework for adaptively and autonomously learning how to separate unusual bursty events from traces of normal human activity.
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Statistical topic models for multi-label document classification
TL;DR: The experimental results indicate that probabilistic generative models can achieve competitive multi-label classification performance compared to discriminative methods, and have advantages for datasets with many labels and skewed label frequencies.
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Test–retest and between-site reliability in a multicenter fMRI study
Lee Friedman,Hal S. Stern,Gregory G. Brown,Daniel H. Mathalon,Jessica A. Turner,Gary H. Glover,Randy L. Gollub,John Lauriello,Kelvin O. Lim,Tyrone D. Cannon,Douglas N. Greve,HJ Bockholt,Aysenil Belger,Aysenil Belger,Bryon A. Mueller,Michael J. Doty,Jianchun He,William M. Wells,Padhraic Smyth,Steve Pieper,Seyoung Kim,Marek Kubicki,Mark Vangel,Mark Vangel,Steven G. Potkin +24 more
TL;DR: Estimates of test–retest and between‐site reliability of fMRI assessments were produced in the context of a multicenter fMRI reliability study and found that dropping one site at a time and assessing reliability can be a useful method of assessing the sensitivity of the results to particular sites.