Smyth, Padhraic - School of Information and Computer Science, University of California, Irvine

• EventRank: A Framework for Ranking Time-Varying Networks
• Bounds on the Mean Classification Error Rate of Multiple Experts Padhraic Smyth
• Statistical Entity-Topic Models David Newman
• Learning Author-Topic Models from Text Corpora MICHAL ROSEN-ZVI
• Latent Set Models for Two-Mode Network Data Christopher DuBois
• Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate
• Model Selection for Probabilistic Clustering using CrossValidated Likelihood
• Discovering Chinese Words from Unsegmented Text Xianping Ge, Wanda Pratt, Padhraic Smyth
• Automating the Hunt for Volcanoes on Venus M.C. Burl yz , U.M. Fayyad z , P. Perona y , P. Smyth z , and M.P. Burl z
• Multiple Regimes in Northern Hemisphere Height Fields via Mixture Model Clustering
• Clustering using Monte Carlo CrossValidation Padhraic Smyth \Lambda
• Asynchronous Distributed Estimation of Topic Models for Document Analysis
• DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS
• Discovering Chinese Words from Unsegmented Text Xianping Ge, Wanda Pratt, Padhraic Smyth
• Clustering Sequences with Hidden Markov Models
• The Distribution of Cycle Lengths in Graphical Models for Turbo Technical Report UCI-ICS 99-10
• Bayesian Predictive Profiles with Applications to Retail Transaction Data
• Segmental Semi-Markov Models for Change-Point Detection with Applications to Semiconductor Manufacturing
• Deformable Markov Model Templates for Time-Series Pattern Technical Report UCI-ICS 00-10
• Information California,
• Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets
• Unsupervised Learning with Permuted Data Technical Report UCI-ICS 03-03
• Data Mining: Data Analysis on a Grand Scale? Padhraic Smyth
• Modeling Waveform Shapes with Random Effects Segmental Hidden Markov Models
• Probabilistic Independence Networks for Hidden Markov Probability Models
• information understanding.
• On Smoothing and Inference for Topic Models Arthur Asuncion, Max Welling, Padhraic Smyth
• The Distribution of Cycle Lengths in Graphical Models for Turbo Technical Report UCI-ICS 99-10
• Cycle Length Distributions in Graphical Models for Iterative Decoding
• Hidden Markov Models for Endpoint Detection in Plasma Etch Technical Report UCI-ICS 01-54
• Probabilistic Model-Based Detection of Bent-Double Radio Galaxies Sergey Kirshner
• Scalingup Support Vector Machines Using Boosting Algorithm Dmitry Pavlov
• ISIT2000, Sorrento, Italy, June 25{30, 2000 Cycle Length Distributions in Graphical Models for Iterative Decoding
• Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models
• Hidden Markov models for modeling daily rainfall occurrence over Technical Report UCI-ICS 03-27
• Approximate Query Answering by Model Averaging Dmitry Pavlov
• Hierarchical Models for Screening of Iron Deficiency Anemia Technical Report No. 99--14
• Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
• Cycle Length Distributions in Graphical Models for Iterative Dec
• Bayesian Predictive Profiles with Applications to Retail Transaction Data
• Inferring Ground Truth from Subjective Labelling of Venus Images
• Probabilistic Clustering using Hierarchical Models Technical Report No. 99--16
• Learning to Classify Galaxy Shapes using the EM Algorithm
• Towards Scalable Support Vector Machines using Dmitry Pavlov
• DATA MINING AT THE INTERFACE OF COMPUTER SCIENCE AND STATISTICS
• Learning to Detect Events with Markov-Modulated Poisson Processes
• Belief Networks, Hidden Markov Models, and Markov Random Fields: a Unifying View \Lambda
• Modeling of Inhomogeneous Markov Random Fields with Applications to Cloud Screening
• Markov Monitoring with Unknown States \Lambda Padhraic Smyth
• Deformable Markov Model Templates for Time-Series Pattern Technical Report UCI-ICS 00-10
• The Distribution of Loop Lengths in Graphical Models for Turbo Decoding
• Local Context Matching for Page Replacement Technical Report UCI-ICS 99-37
• ISIT2000, Sorrento, Italy, June 2530, 2000 Cycle Length Distributions in Graphical Models for Iterative Decoding
• Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
• TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling
• Learning to Classify Galaxy Shapes using the EM Algorithm
• A General Probabilistic Framework for Clustering Individuals Technical Report No. 00--09
• Local Context Matching for Page Replacement Technical Report UCI-ICS 99-37
• Probabilistic ModelBased Clustering of Multivariate and Sequential Padhraic Smyth \Lambda
• Segmental Semi-Markov Models for Change-Point Detection with Applications to Semiconductor Manufacturing
• Revisiting MAP Estimation, Message Passing and Perfect Graphs James R. Foulds Nicholas Navaroli Padhraic Smyth Alexander Ihler
• Multi-Instance Mixture Models and Semi-Supervised Learning James Foulds
• Combining Background Knowledge and Learned Topics Mark Steyvers,a
• Modeling Relational Events via Latent Classes Christopher DuBois
• BIOINFORMATICS Vol. 00 no. 00
• Combining Concept Hierarchies and Statistical Topic Chemudugunta
• Subject Metadata Enrichment using Statistical Topic Models
• Hierarchical Dirichlet Processes with Random Effects Seyoung Kim
• A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI
• Adaptive Event Detection with TimeVarying Poisson Processes
• A Spectral Clustering Approach To Finding Communities in Graphs Scott White
• UNIVERSITY OF CALIFORNIA, Modeling of Multivariate Time Series
• Joint Probabilistic Curve Clustering and Scott Gaffney and Padhraic Smyth
• Probabilistic Author-Topic Models for Information Mark Steyvers
• 10A.7 CLUSTER ANALYSIS OF WESTERN NORTH PACIFIC TROPICAL CYCLONE TRACKS Suzana J. Camargo
• Learning Stochastic Path Planning Models from Video Images Technical Report UCI-ICS 04-12
• Algorithms for Estimating Relative Importance in Networks Scott White, Padhraic Smyth
• Beyond Independence: Probabilistic Models for Query Approximation on Binary
• Sequential Pattern Discovery under a Markov Assumption Technical Report No. 02-08
• Hidden Markov Models for Endpoint Detection in Plasma Etch Technical Report UCI-ICS 01-54
• The Distribution of Loop Lengths in Graphical Models for Turbo Decoding
• Scaling-up Support Vector Machines Using Boosting Algorithm Dmitry Pavlov
• !#"$%&(')021#%3$3$456'87903A@BDC3DEGFH3$IPQ RSUTWVYX`aTcbUde#Scfhgpirq$stgYu0vpvcwhxy
• !"$#%'&)(0121#%435678@9BA CDFEHGIPDFQSRUT'VUWXPGYF`aXbCIdcFeHfHgShdQScpirqsDFt@cpIPDuXPcpIvWxwFyp!wF DFgSQcpIdiHQD!iHhXdQSXdfXP`cF`aRGHiHcpgScpFWpppdDFexfdIdchgp`i1IdQgp`CDFhdDFEH`jiHDk mlonppp n'q
• !#"%$&#'%(0)1&23546&879"%@$ACBEDF@(G$$&#G'H469I%@#$ PRQTSVUXW`YaScbTdRe9Qcfghpi%qrgXsGttcuvcw
• Clustering Markov States into Equivalence Classes using SVD and Heuristic Search Algorithms
• Data Mining: Data Analysis on a Grand Scale? \Lambda Padhraic Smyth
• Learning Stochastic Path Planning Models from Video Images Technical Report UCI-ICS 04-12
• Predictive Profiles for Transaction Data using Finite Mixture Technical Report No. 0167,
• Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
• IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. X, NO. X, MARCH 2010 1 A Bayesian Mixture Approach to Modeling Spatial
• A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
• BAYESIAN STATISTICS 7, pp. 000000 J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid,
• Clustering Markov States into Equivalence Classes using SVD and Heuristic Search Algorithms
• Automating the Hunt for Volcanoes on Venus , U.M. Fayyad
• UNIVERSITY OF CALIFORNIA, Probabilistic Curve-Aligned Clustering and Prediction
• Prediction with Local Patterns using CrossEntropy Heikki Mannila
• Sequential Pattern Discovery under a Markov Assumption Technical Report No. 0208
• Translation-Invariant Mixture Models for Curve Technical Report No. 03-09
• MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL
• An Evaluation of Linearly Combining Density Estimators via Technical Report No. 98--25,
• Beyond Independence: Probabilistic Models for Query Approximation on Binary
• Trajectory Clustering with Mixtures of Regression Models Technical Report No. 99--15