PPT-An Ensemble SVM Model for the Accurate Prediction of Non-Canonical MicroRNA Targets

Asish Ghoshal 1 Ananth Grama 1 Saurabh Bagchi 2 Somali Chaterji 1 Purdue University West Lafayette IN MicroRNA miRNA The genomes guiding hand miRNA are 22 nucleotide . e AT where is called a Jordan block of size with eigenvalue so 1 Jordan canonical form 122 brPage 3br is upper bidiagonal diagonal is the special case of Jordan blocks of size 1 Jordan form is unique up to permutations of the blocks can have multipl “Geoffrey Hinton, . Oriol. . Vinyals. & Jeff Dean). Google . leaves. caterpillar. butterfly. planet. paydirt. gold. training data. big ensemble of learned models. small production model. An analogy. fundamentals. Tom Hamill. NOAA ESRL, Physical Sciences Division. tom.hamill@noaa.gov. NOAA Earth System. Research Laboratory. “Ensemble weather prediction”. possibly. different. models. or models. André Bastos. July 5. th. , 2012. Free Energy Workshop. Outline. Review of canonical (cortical) microcircuitry (CMC). Role of feedback connections. Driving or modulatory?. Excitatory or inhibitory?. Applying data assimilation for rapid forecast updates in global weather models. Luke E. Madaus --- Greg Hakim; Cliff Mass. University of Washington. In Revision -- QJRMS. Outline. Brief introduction. Week 10 . Presented by Christina Peterson. Movement Exemplar-SVMs . Tran and . Torresani. [1] based the MEX-SVM on the work of . Malisiewicz. . et. al. . [2]. Linear SVMs applied to histograms of space-time interest points (STIPs) calculated from . Better Predictions Through Diversity. Todd Holloway. ETech 2008. Outline. Building a classifier (a tutorial example). Neighbor method. Major ideas and challenges in classification. Ensembles in practice. Kalman. filter. Part I: The Big Idea. Alison Fowler. Intensive course on advanced data-assimilation methods. 3-4. th. March 2016, University of Reading. Recap of problem we wish to solve. Given . prior knowledge . Earl -- 2010. 45-km outer domain. 15-km moving nest. Best Track. Ensemble Members. Relocated Nest. COAMPS-TC Forecast Ensemble. Web Page Interface. http://www.nrlmry.navy.mil/coamps-web/web/ens?&spg=1. By Will Welch. For Jan . Kubelka. CHEM 4560/5560. Spring, 2017. University of Wyoming. Why Molecular Dynamics?. 1. Scale: Large collections of interacting particles that cannot (and should not) be studied by quantum mechanics . Streamflow. Prediction Model. Kevin . Berghoff. , Senior . Hydrologist. Northwest River Forecast . Center. Portland, OR. Overview. Community Hydrologic Prediction System (CHPS). 3 Components to model. Chapter . 16. Genes and Development. Proteins can determine the DNA sequence by binding the major groove of DNA.. Proteins binding the minor groove cannot determine the exact sequence of bases.. Prokaryotic gene regulation. Craig H. Bishop. The University of Melbourne, Parkville, Australia. Joanna (Asia) S. Pelc. Selina, Medellin, Columbia. With Acknowledgements to . Sergey . Frolov. , Doug Allen, Rolf Langland, Karl . A Regression Model for Ensemble Forecasts David Unger Climate Prediction Center Summary A linear regression model can be designed specifically for ensemble prediction systems. It is best applied to direct model forecasts of the element in question.