Output for group G1 excluding false positives
Simultaneous control of false positives and false negatives in multiple hypotheses testing
... In this section we carry out a simulation study to compare our method with Storey’s method. We consider two groups and the problem of simultaneously testing m = 1000 independent tests H 1 , . . . , H 1000 for these two ...
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DRUG TESTING WELFARE RECIPIENTS--FALSE POSITIVES, FALSE NEGATIVES, UNANTICIPATED OPPORTUNITIES
... Using both data sets, we examine the prevalence and type of recent self-reported drug use to examine the likely consequences of chemical testing of welfare recipients. The precise group of illicit drug users who ...
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Genome-wide association studies, false positives, and how we interpret them
... schizophrenia (Schizophrenia Working Group of the Psychiatric Genomics, 2014), and inflammatory bowel diseases (Liu et al., 2015), to name a few. GWAS have several defining characteristics that lend them to being ...
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False positives complicate ancient pathogen identifications using high throughput shotgun sequencing
... compare different archaeological collections and data sets in terms of the likelihood of ancient pathogen recovery, our data are illustrative of the challenges encountered in high-throughput metagenomic pathogen studies. ...
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Mining intrusion detection alert logs to minimise false positives & gain attack insight
... of true correlations amongst alerts if 1) the correct attributes and features are evaluated and 2) the model is not over-fitted. On the other hand, we observed that under-fitting the model would result in a high volume ...
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On the Sample Size Requirement in Genetic Association Tests When the Proportion of False Positives Is Controlled
... METHODS Genetic model and power calculation: We first give the formula for calculating the power under various genetic models (cf., Z ou and Z hao 2004). We consider two alleles, A and a, at a candidate marker, whose ...
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Reduction of False Positives in Intrusion Detection Based on Extreme Learning Machine with Situation Awareness
... other cited research. A drawback of the genetic algorithm is the amount of time and computing resources it takes to reach an optimal solution. Neural Networks The concept of an ANN, inspired by the function of the human ...
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Leveraging Test Generation and Specification Mining for Automated Bug Detection without False Positives
... report false positives, that is, spurious warnings that mislead developers and reduce the practicability of the ...The output are warnings that show with concrete test cases how the program violates ...
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Automatic Detection and Correction of Web Application Vulnerabilities using Data Mining to Predict False Positives
... We propose to use the output of static analysis to remove vulnerabilities automatically. We are aware of a few works that use approximately the same idea of first doing static analysis then doing some kind of ...
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Usability testing for practical use: Monitoring the process and detecting false positives face to face and via internet
... Following participants were informed that the questions are hypothetical. They were asked to give their opinion about the statement and whether they agree with the statement or disagree, also asking for reasons for their ...
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Copyright False Positives
... uncontested false positives. Such uncontested false positives contribute to a normative shift within copyright industries towards “fared uses,” 171 and likewise have a distorting effect on the ...
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The Truth about False Positives
... separate false alarms from real attacks and can help you respond appropriately when serious threats ...reduce false alarms and identify and escalate serious attack patterns that are affecting networks ...
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universe nonself self detection system false negatives false positives
... mature detectors that were causing false positives will either die from lack of costimulation or from age. Eventually all detectors will be tolerant of self, providing self does not change too quickly . If ...
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Reducing False Positives in the Construction of Adjective Scales
... A false positives suggest that adjectives X and Y are on the same scale, but that Y is not more intense than ...A false positives: repetitions, antonyms, and rever- sals, and all of these can ...
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Controlling the Proportion of False Positives in Multiple Dependent Tests
... QTL model 2: This model was obtained from model Thus, even when tests are not independent nor identi- 1 by moving the QTL from the center to the left by 25 cally distributed, conditional on an experiment having cM for ...
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Overcoming False Positives: Saving the Sale and the Customer Relationship
... Gen Y Gen Y consumers face higher decline rates for a variety of reasons: These individuals do not have as much disposable income as more wealthy or established groups, and thus any deviation from normal spending ...
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Disassembly of False Positives for Microsoft Word under SCRAP
... We evaluated Word application of Microsoft Office 2010 Suite using a 54 KiB docu- ment [1] under the SCRAP configuration S 7,4 for one billion instructions. Following is the disassembly of functions where false ...
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False Positives Reduction Techniques in Intrusion Detection Systems-A Review
... Payame Noor University, Tehran, IRAN Summary During the last decade with the growth of cyber attacks, information safety has become an important issue all over the world. Intrusion detection systems (IDSs) are an ...
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Concavity analysis for reduction of ileocecal valve false positives in CTC
... The method has been applied to a multi-center tagged CTC dataset and shows the ICV detection rate of 90% for the training dataset and 83% for the independent testing data, with the FP reduction of 31% by using the ...
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Concavity analysis for reduction of ileocecal valve false positives in CTC
... The method has been applied to a multi-center tagged CTC dataset and shows the ICV detection rate of 90% for the training dataset and 83% for the independent testing data, with the FP reduction of 31% by using the ...
5