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 . χ. Q. C. D. . Collaboration:. A. Li, A. . Alexandru. , . KFL, and X.F. . Meng. Finite Density Algorithm with Canonical Approach and Winding Number Expansion. “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?. and post-processing . team reports to NGGPS. Tom Hamill. ESRL, Physical Sciences Division. tom.hamill@noaa.gov. (303) 497-3060. 1. Proposed team . members. Ensemble system development. Post-processing. review for WGNE, 2010. Tom Hamill. 1. and Pedro de Silva-Dias. 2. 1. NOAA/ESRL. 2. Laboratório . Nacional. de . Computação. . Científica. tom.hamill@noaa.gov. 1. Sources of improvement in probabilistic forecasts. 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. Interannual. -to-Decadal Predictions Experiments.  . L. Goddard. , on behalf of the . US CLIVAR Decadal Predictability Working Group & Collaborators. : . Lisa Goddard, . Arun. Kumar, Amy Solomon, James Carton, Clara . 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 . Daniel P. Eleuterio, . Office of Naval Research. Jessie Carman, NOAA Office of Ocean and Atmosphere Research. Fred . Toepfer. , NOAA National Weather Service. Dave . McCarren. , Naval Meteorology and Oceanography Command. Modeling and Development Division. CPTEC/INPE. Middle-Range Ensemble Forecast at CPTEC/INPE - Current Activities. 2. Local Ensemble Transformed . Kalman. Filter. OUTLINE. 3. New method to obtain perturbed initial conditions . Streamflow. Prediction Model. Kevin . Berghoff. , Senior . Hydrologist. Northwest River Forecast . Center. Portland, OR. Overview. Community Hydrologic Prediction System (CHPS). 3 Components to model. Presentation by: Mehdi Shahriari. Advisor: Guido . Cervone. Research Questions. How to use Analog Ensemble . for probabilistic weather prediction?. . What is the uncertainty associated with wind power estimates?. Sahil Patel. 1. , Justin Guo. 2. , Maximilian Wang. 2. Advisors: Dr. . Cuixian. (Tracy) Chen, Ms. Jessica Gray, Ms. Georgia Smith, Ms. Bailey Hall, Mr. Michael Suggs. 1. John T. Hoggard High School, .