bigdata.ices.utexas.edu

Center for Big Data Analytics

Center for Big Data Analytics. Center for Big Data Analytics People. Http:/ bigdata.ices.utexas.edu/wp-content/uploads/slideshow-gallery/group-picture-fall-2015-smaller.jpg. Http:/ bigdata.ices.utexas.edu/wp-content/uploads/slideshow-gallery/most-papers-version3.png. Prediction and Validation of Gene-Disease Associations using Methods Inspired by Social Network Analyses. Http:/ bigdata.ices.utexas.edu/wp-content/uploads/slideshow-gallery/12.png. A fast and efficient graph clustering software. Is large, o...

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Center for Big Data Analytics | bigdata.ices.utexas.edu Reviews

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Center for Big Data Analytics | bigdata.ices.utexas.edu Reviews

https://bigdata.ices.utexas.edu

Center for Big Data Analytics. Center for Big Data Analytics People. Http:/ bigdata.ices.utexas.edu/wp-content/uploads/slideshow-gallery/group-picture-fall-2015-smaller.jpg. Http:/ bigdata.ices.utexas.edu/wp-content/uploads/slideshow-gallery/most-papers-version3.png. Prediction and Validation of Gene-Disease Associations using Methods Inspired by Social Network Analyses. Http:/ bigdata.ices.utexas.edu/wp-content/uploads/slideshow-gallery/12.png. A fast and efficient graph clustering software. Is large, o...

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bigdata.ices.utexas.edu

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Software | Center for Big Data Analytics

http://bigdata.ices.utexas.edu/software

Center for Big Data Analytics. The QUadratic Inverse Covariance algorithm (latest release 1.1) implements the l1 regularized Gaussian maximum likelihood estimation of the inverse of a covariance matrix. This MATLAB code trains an Admixture of Poisson MRFs (APM) model using the algorithm described in the associated paper “Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs”. Please see associated papers for more information about the APM model and algorithm. NOMAD is the ...

2

Graclus | Center for Big Data Analytics

http://bigdata.ices.utexas.edu/software/graclus

Center for Big Data Analytics. A fast and efficient graph clustering software. The README of the code for Version 1.2 is here. The code is released under the GNU Public License (GPL). The code has been compiled using gcc 3.0.3 in Solaris and Linux. However, bug reports and comments. Please enter your e-mail address and press the left button below. You should receive the software via e-mail. Otherwise, request the software directly from me. New for Version 1.2! Important: Bug Fix for Graclus 1.2. The rele...

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People | Center for Big Data Analytics

http://bigdata.ices.utexas.edu/people

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Hsiang-Fu Yu | Center for Big Data Analytics

http://bigdata.ices.utexas.edu/author/hsiang-fu-yu

Center for Big Data Analytics. Alumni, GDC 4.802I, rofuyu@cs.utexas.edu. Hsiang-Fu Yu’s CV. Asynchronous Parallel Greedy Coordinate Descent. Y You, X. Lian, C. Hsieh, J. Liu, H. Yu, I. Dhillon, J. Demmel. Neural Information Processing Systems (NIPS). Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction. H Yu, N. Rao, I. Dhillon. Neural Information Processing Systems (NIPS). Nomadic Computing for Big Data Analytics. IEEE Computer (IEEE Computer). Pp 2370-2379, July 2015.

5

Gene-Disease Prediction: A Link Prediction Approach | Center for Big Data Analytics

http://bigdata.ices.utexas.edu/project/gene-disease

Center for Big Data Analytics. Gene-Disease Prediction: A Link Prediction Approach. We develop methods for predicting gene-disease associations, an important problem in computational biology. The prediction problem can be posed as link prediction in a. Matrix completion on the gene-disease associations matrix, that incorporates “row” (gene) and “column” (disease) features obtained from multiple biological sources. I Link Prediction Formulation. II CATAPULT: Positive-Unlabeled Learning Formulation. Suppor...

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cs.utexas.edu

Pradeep Ravikumar

http://www.cs.utexas.edu/~pradeepr

Department of Computer Science, University of Texas, Austin. I lead the Statistical Machine Learning Group at the Department of Computer Science. At the University of Texas, Austin. I am also the associate director of the Center for Big Data Analytics. At UT Austin. I am also affiliated with the Department of Statistics and Data Sciences. And the Institute for Computational Engineering and Sciences. Phd Thesis: Approximate Inference, Structure Learning and Feature Estimation in Markov Random Fields.

cs.utexas.edu

David Inouye - University of Texas at Austin

http://www.cs.utexas.edu/~dinouye

University of Texas, dinouye@cs.utexas.edu. I am currently a Computer Science Ph.D. student at University of Texas at Austin. Working in the Center for Big Data Analytics. With Prof. Inderjit Dhillon. And Prof. Pradeep Ravikumar. On high-dimensional probabilistic graphical models with applications in text analysis and bioinformatics (under active development). I am also interested in visualization of machine learning models including probabilistic graphical models. J Inouye, D. Inouye, S. Blemker. B Shar...

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