搜索结果: 1-7 共查到“计算机科学技术 Bias”相关记录7条 . 查询时间(0.078 秒)
The word lists packaged and shared amongst researchers to measure for bias in online texts often carry words, or “seeds,” with baked-in biases and stereotypes, which could skew their findings, new Cor...
UMass Amherst Computer Scientists Develop New Technique to Measure Social Bias in Software（图）
UMass Amherst Computer Scientists New Technique Measure Social Bias Software
2017/8/14
Today, banks are increasingly using software to decide who will get a loan, courts to judge who should be denied bail, and hospitals to choose treatments for patients. These uses of software make it c...
A study comparing acceptance rates of contributions from men and women in an open-source software community finds that, overall, women’s contributions tend to be accepted more often than men’s – but w...
Bias-Variance Tradeoffs in Program Analysis
Program Analysis Machine Learning Verification
2016/5/24
It is often the case that increasing the precision of a program analysis leads to worse results. It is our thesis that this phenomenon is the result of fundamental limits on the ability to use precise...
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation
Modelling Annotator Bias Multi-task Gaussian Processes:Machine Translation Quality Estimation
2013/3/20
Annotating linguistic data is often a complex, time consuming and expensive endeavour. Even with strict annotation guidelines, human subjects often deviate in their analyses, each bringing different b...
Visual Conspicuity Index: Spatial Dissimilarity, Distance, and Central Bias
central bias conspicuity dissimilarity spatial distance visual saliency
2011/11/18
We propose an image conspicuity index that combines three factors: spatial dissimilarity, spatial distance andentral bias. The dissimilarity between image patches is evaluatedin a reduced dimensional ...
Visual Conspicuity Index: Spatial Dissimilarity, Distance, and Central Bias
central bias conspicuity dissimilarity spatial distance visual saliency.
2011/1/18
We propose an image conspicuity index that combines three factors: spatial dissimilarity, spatial distance andcentral bias. The dissimilarity between image patches is evaluatedin a reduced dimensional...