PPT-Detecting Parameter R edundancy

in Integrated Population Models Diana Cole and Rachel McCrea National Centre for Statistical Ecology School of Mathematics Statistics and Actuarial Science University . Introduction Detecting Remote Access Trojans GhostNet Alice Zheng and Misha Bilenko. Microsoft Research, Redmond. Aug 7, 2013 (IJCAI . ’13. ). Dirty secret of machine learning: Hyper-parameters. Hyper-parameters: . s. ettings of a learning algorithm. 1 ContributionsType System for detecting Parameter . R. edundancy . in . Ecological . State-Space . M. odels. Diana . Cole . and . Rachel . McCrea . National Centre for Statistical Ecology, University of . Kent. Lapwing Example. Lapwing (. Vanellus. Parameter . R. edundancy . in . Integrated Population Models. Diana . Cole . and . Rachel . McCrea . National Centre for Statistical Ecology, University of . Kent. Lapwing Example. Lapwing (. Vanellus. Parameter . R. edundancy . in . Integrated Population Models. Diana . Cole . and . Rachel . McCrea . National Centre for Statistical Ecology, . School of Mathematics, Statistics and Actuarial Science, University . 1. In Java. Primitive types (byte, short, . int. …). allocated on the stack. Objects. allocated on the heap. 2. Parameter passing in Java. Myth: “Objects are passed by reference, primitives are passed by value”. TM London1 Using Parameter PresetsCreating Parameter Presets (continued)Further controls can be added to the Group by selecting them and choosing Course Forums. Paul Gorsky, Avner Caspi, Ina Blau & Yael David. Open . University . of Israel. Objective. Gorsky, Caspi and their colleagues (2010) calculated a . bi-modal . population parameter for the . Detecting Variation. In populations or when comparing closely related species, one major objective is to identify variation among the samples. AKA, one of the main goals in genomics is to identify what genomic features make individuals/populations/species different. Models. Diana Cole, University of Kent. Rémi. . Choquet. , CEFE, CNRS, France.. x. Occupancy Model example. Parameters. : . – species is detected. .. C. an . only estimate . rather than . and . Parameter . PAssing. Parameterized subroutines . accept arguments which control certain aspects of their behavior or act as data on which the subroutine must operate. . Today we’ll be discussing the most common modes of parameter passing as well as special-purpose parameters and function returns.. Roi Shillo, Nick Hoernle, Kobi Gal. Creativity is…. Ubiquitous. [Schank & Cleary 95]. Fundamental . [Boden, 98]. Machine recognisable . [Newell, Shaw & Simon 62]. Focus for EDM. Open Ended Environments. Likelihood Methods in Ecology. Jan. 30 – Feb. 3, 2011. Rehovot. , Israel. Parameter Estimation. “The problem of . estimation. is of more central importance, (. than hypothesis testing. )... . for in almost all situations we know that the .