ChangeDetection - Change Log: Eric Xing's home page

Eric Xing's home page

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Number of users monitoring this page: 0
Most recent sizable change (text, html) : 2012-01-22 20:02
Most recent change (text, html) : 2012-01-22 20:02
Last checked for changes: 2012-02-13 21:04
ChangeDetection started monitoring: 2008-01-18 20:02

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View changes: 2012-01-22 20:02 156 new words, 100 deleted words, 25% change

... and dynamic possible worlds; in social and for building quantitative models ... and developmental processes of biological systems. Currently ... Statistical Learning , including theory and algorithms for: 1) Theory and algorithms for estimating timeTime/space varying-coefficient models with evolving strcuturesstructures; 2) Learing sparse Sparse structured input/output ... ; 4) RKHS embedingembedding... and dynamic possible worldsin social and ... Statistical Learning , including theory and algorithms for: 1) Time/space varying-coefficient models with evolving structures; 2) Sparse structured input/output ... ; 4) RKHS embedding, nonparametric inference, and spectral methods ... models; 5) Distributed and online algorithms for optimization, approximate inference , and sampling on Tara-scale data ... and dynamic possible worlds; and for building quantitative models ... and developmental processes of biological systems. Currently ... : 1) Theory and algorithms for estimating time/space varying-coefficient models with evolving strcutures; 2) Learing sparse structured input/output ... ; 4) RKHS embeding, nonparametric infrence, and spectral methods ... models; 5) Large scale, distributed, and online ... more...

View changes: 2011-09-15 20:02 0 new words, 94 deleted words, 10% change
... Science Carnegie Mellon University Openings: We welcome passionate ... free to contact me. Research synopsis: My Science Carnegie Mellon University ... Research synopsis: My Science Carnegie Mellon University Openings: We welcome passionate ... free to contact me. Research synopsis: My more...

View changes: 2011-09-01 03:09 5 new words, 3 deleted words, <1% change

... University Openings: We are looking for welcome passionate Ph.D. students and postdocs with strong background in ... We also invite students and postdocs strong in machine learning University Openings: We welcome passionate Ph.D. students and postdocs with strong background in ... We also invite students and postdocs strong in machine learning University Openings: We are looking for passionate Ph.D. students ... strong in machine learning

View changes: 2011-08-30 23:04 139 new words, 39 deleted words, 18% change

... Science Carnegie Mellon University Openings: We are looking for passionate Ph ... treatment. Feel free to contact me. Research synopsis: My ... . Recent Activities: I am currently on sabbatical as a ... variety of projects on social media. Teaching: I taught am teaching Machine Learning (10701) in Spring 2010Fall 2011. Previously I taught ... ) Study Section. Sabbatical: I was on sabbatical from 2010 ... Science Carnegie Mellon University Openings: We are looking for passionate Ph ... treatment. Feel free to contact me. Research synopsis: My ... Teaching: I am teaching Machine Learning (10701) in Fall 2011. Previously I taught ... ) Study Section. Sabbatical: I was on sabbatical from 2010 ... a variety of projects on social media. Talks: With Dr Science Carnegie Mellon University ... . Recent Activities: I am currently on sabbatical as a ... variety of projects on social media. Teaching: I taught Machine Learning (10701) in Spring 2010. Previously I taught ... Talks: With Dr more...

View changes: 2011-08-09 20:02 199 new words, 28 deleted words, 26% change

... strcutures; 2) Learning Learing sparse structured input/output models in very high-dimensional spaceproblems; 3) Nonparametric Bayesian techniques for infinite-dimensional models; 4) Active learning. RKHS embeding, nonparametric ... and sparse coding, Computational Biology , including: 1) Comparative genomic analysis of ... evolution; 2) Systems biology investigation of ... gene regulation circuity; ... strcutures; 2) Learing sparse structured input/output models in ... high-dimensional problems; 3) Nonparametric Bayesian techniques for infinite-dimensional models; 4) RKHS embeding, nonparametric ... and sparse coding, Computational Biology , including: 1) ... gene regulation circuity; 2) Statistical genetic analysis ... demography and evolution; 3) Structured inference of ... complex diseases. Applications ... strcutures; 2) Learning sparse structured input/output models in very high-dimensional space; 3) Nonparametric ... techniques for infinite-dimensional models; 4) Active learning. Computational Biology , including: 1) Comparative genomic analysis of ... evolution; 2) Systems biology investigation of ... gene regulation circuity; 3) Statistical genetic analysis ... demography and evolution; 4) Structured inference of ... more...

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