P
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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Daily States of the March–April East Pacific ITCZ in Three Decades of High-Resolution Satellite Data
TL;DR: In this paper, a statistical model is used to automatically assess the daily state of the east Pacific intertropical convergence zone (ITCZ) using infrared satellite images from 1980 to 2012.
Journal ArticleDOI
Bayesian modeling of human–AI complementarity
TL;DR: A Bayesian modeling framework is used to systematically investigate the factors that influence the performance of hybrid combinations of human and machine classifiers while taking into account the unique ways human and algorithmic confidence is expressed.
Proceedings Article
An Information Theoretic Approach to Rule-Based Connectionist Expert Systems
TL;DR: These architectures for executing probabilistic rule-bases in a parallel manner are discussed, using as a theoretical basis recently introduced information-theoretic models.
Posted Content
Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models
TL;DR: In this paper, a general probabilistic framework for modeling waveforms such as heartbeats from ECG data is described, which is based on segmental hidden Markov models with the addition of random effects to the generative model.
Scalable Parallel Topic Models
TL;DR: This work presents a parallel algorithm for the topic model that has linear speedup and high parallel efficiency for shared-memory symmetric multiprocessors (SMPs) and uses this parallel algorithm, topic model computations on an 8-processor system took 1/7 the time of the same computation on a single processor.