PPT-“ Coalescence” – a potential method for using ensembles to improve deterministic

Tom Hamill NOAA Earth System Research Lab Physical Sciences Division Boulder CO USA tomhamillnoaagov 1 303 4973060 Presentation to USUKCanada postprocessing group 1 May 2019 1 Problem statement. The deterministic pol icy gradient has a particularly appealing form it is the expected gradient of the actionvalue func tion This simple form means that the deter ministic policy gradient can be estimated much more ef64257ciently than the usual sto ZHAXYBAYEVA and GOGARTEN (2004):. Cladogenesis. , Coalescence and the Evolution of the Three Domains of Life.. Trends in Genetics 20 (4): 182- 187. Coalescence. – the process of tracing lineages backwards in time to their common ancestors. Every two extant lineages coalesce to their most recent common ancestor. Eventually, all lineages coalesce to the cenancestor. . 1. Ensembles. CS 478 - Ensembles. 2. A “Holy Grail” of Machine Learning. Automated. Learner. Just a . Data Set. or. just an. explanation. of the problem. Hypothesis. Input Features. Outputs. CS 478 - Ensembles. Gil . McVean. There are no new questions in population genetics. …only new types of data. Genome sequences of entire populations. Data with linkage to deep phenotype information. Data from multiple species. Latest Results on outlier ensembles available at http://www.charuaggarwal.net/theory.pdf (Clickable Link) tsub-topics(eg.bagging,boosting,etc.)intheensembleanalysisareaareverywellformalized.Thisisrem PDF4LHC combinations. . Jun Gao, Joey Huston, . Pavel Nadolsky (presenter). arXiv:1401.0013, http. ://metapdf.hepforge.org. Parton distributions for the LHC, . Benasque. , 2019-02-19, 2015. A . meta-analysis . from Finite Correlation Length . Fernando . G.S.L. . Brand. ão. Microsoft Research. Quantum Spin Systems, Recent Advances, . Cergy. -. Pontoise. , 2015. based on joint work with . Marcus Cramer . University of Ulm. . expand. May 18, 2016. Numerical. . study. . of. the . transitions. . of. . flow. . boiling. in . micro-channels. . Qingming. Liu, Björn . Palm. Department. . of. . energy. . technology. and . Robust . Scalable Data mining . for . the Data Deluge . Petascale Data Analytics: Challenges, and Opportunities (PDAC-11. ). Workshop at SC11 Seattle. November 14 2011. Geoffrey Fox. gcf@indiana.edu. Annealing . Dimension Reduction. and Biology. Indiana University. Environmental Genomics. April 20 2012. Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . http://www.futuregrid.org. Javad. . Azimi. , Paul Cull, . Xiaoli. Fern. {. azimi,pc,xfern. }@. eecs.oregonstate.edu. Oregon State University. Presenting by: Paul Cull. 1. Outline. Clustering Ensembles. Ant Clustering . Proposed Method. MUS 863. The Auditioned Ensemble. PROs. Option of creating a balanced ensemble. Separates groups by ability . Auditioned Ensemble. CONS. Separation by ability could create an unwanted . hierarchy. Students attribute success to musical ability, and not effort. Dr Thomas Farmer & Dr Rob McElroy. Green Chemistry Centre of Excellence. University of York. 21. st. March 2019. LBNet’s. UKBioChem10. UKBioChem10 is a list of the UK’s . the . most . promising . June 1, 2014. Abstract. JESD204B links are the latest trend in data-converter digital interfaces. These links take advantage of high speed serdes technology to offer many compelling benefits including improved channel densities and simplified board...