PDF-FALSE POSITIVES

E Q U A L FALSE JUSTICE John Kelly FALSE POSITIVES EQUAL FALSE JUSTICE EXECUTIVE SUMMARY This twoyear scientificlegal investigation reveals a drug testing regime of fraudulent forensics used by poli. Sheldon DanzigerHenry J. Meyer Collegiate Professor of Social Work and Public Policy, Director, Center on Poverty Risk and Mental HealthUniversity of Michigan.Rukmalie JayakodyDevelopment and Family S European Molecular Biology Laboratory. Predoc. Bioinformatics Course. 17. th. Nov 2009. Tim Massingham, tim.massingham@ebi.ac.uk. Motivation. Already come across several cases where need to correct . and . Negatives. 0. 1. 2. 3. 4. 5. -2. -1. -4. -3. Meet Pete. The Positive Pirate. Together, they’re called the “Positives”. Now meet their arch enemies…. Ned. The Negative Ninja. Together, they’re called the “Negatives”. after . your . seminar . at . Monash. . yesterday I speculated . on how well . 4-out-of-5. . confirming experiments can be considered to support a hypothesis. . Matt . Coller. . School . of Geography and Environmental Science. Sheldon DanzigerHenry J. Meyer Collegiate Professor of Social Work and Public Policy, Director, Center on Poverty Risk and Mental HealthUniversity of Michigan.Rukmalie JayakodyDevelopment and Family S of . the . Irish Blood Transfusion . Service. William G. Murphy MD. nmd@indigo.ie. 2004: 100% testing using . 1 x 8 ml sample.. 2005: 100% testing using . 2 x 7.5 ml samples (aerobic & anaerobic).. Eamonn Keogh . eamonn@cs.ucr.edu. Quick Reminder. We saw the nearest neighbor algorithm.. As we saw that we could use any distance function…. Mantled Howler Monkey. Alouatta palliata. Red Howler Monkey . CS5670: Computer Vision. Noah Snavely. Reading. Szeliski: 4.1. Announcements. Project 1 artifact voting online shortly. Project 2 to be released soon. Quiz at the beginning of class today. Local features: main components. Example. Reference standard & segmentation. Segmentation performance. Qualitative/subjective evaluation .  the easy way out, sometimes the only option. Quantitative evaluation preferable in general. Papers can be wrong, boring, hard to read etc.. Papers can . also. have very poor figures ;-). Lets spend a few minutes to see a some examples of poor figures, and how we might go about fixing them.. Ioannis . Demertzis. *. University of Maryland. yannis@umd.edu. . Stavros Papadopoulos. Intel Labs & MIT. stavrosp@csail.mit.edu. . Odysseas. . Papapetrou. *. EPFL, Lausanne, Switzerland. odysseas.papapetrou@epfl.ch. Measures of LD. Jess Paulus, ScD. January 29, 2013. . Today’s topics. Multiple comparisons. Measures of Linkage disequilibrium. D’ and r. 2. r. 2. and power. Multiple testing & significance thresholds. *. The Good, the Bad, and the Ugly. . Andy . Earle. Hewlett-Packard Enterprise. Security . Solutions Architect. Who am I?. Andy Earle. CISSP, CSSLP, CEH. HPE . Fortify. Application Security Solutions Architect / Presales Engineer. OUTLINE. Basic concepts and motivation. Extending the basic occupancy model: a building block for false positives . (Royle and Link 2006). The integrated model of Miller et al. (2011). In . unmarked .