Papers authored by Michael Jordan
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Stick-Breaking Beta Processes and the Poisson Process
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Optimization of Structured Mean Field Objectives
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EP-GIG Priors and Applications in Bayesian Sparse Learning
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Coherence Functions with Applications in Large-Margin Classification Methods
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Modeling Events with Cascades of Poisson Processes
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Phylogenetic Inference via Sequential Monte Carlo
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Active spectral clustering via iterative uncertainty reduction
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Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
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A Scalable Bootstrap for Massive Data
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Combinatorial clustering and the beta negative binomial process
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Revisiting k-means: New Algorithms via Bayesian Nonparametrics
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Min-Yu; Mackey Lester; Ker? Huang,
Michael I. Jordan ,
David W. Knowles,
Mark D. Biggin,
Bernd Hamann,
Soile V. E.; Weber Gunther H.; Jordan Michael I.; Knowles David W.; Biggin Mark D.; Hamann Bernd Nen
Visually Relating Gene Expression and in vivo DNA Binding Data
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Dan Klein
Learning Dependency-Based Compositional Semantics
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Nonparametric Link Prediction in Large Scale Dynamic Networks
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Ion Stoica
Managing Data Transfers in Computer Clusters with Orchestra
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John R. Srouji,
Steven E. Brenner
Genome-scale phylogenetic function annotation of large and diverse protein families
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