Independent Review– e.g. have a particular interest in fairness, accountability and transparency of AI systems. A diverse range of AI and domain experts who are charged with reviewing and understanding the potential risks associated with AI/ML models. In this case, the bank's compliance and le...
Collaborative filtering doesn’t rely on content that much, so it can perform in domains where content is difficult for a computer system to analyze (such as images, videos, music) and can also provide cross-domain recommendations.Surprising recommendations. Instead of recommending the same content...
Feature Name Domain Values Meaning x0 Humidity D0 {0,1} normal,high x1 Outlook D1 {0,1,2} overcast,rain,sunny x2 Wind D2 {0,1} strong,weakTable 1: Explanation-redundancy in decision trees obtained with IAI and ITI. Dataset (#F #S) IAI ITI Dataset D #N %A #P %R %C %m %M...
Looking into some sample results, we can see that a number of the URLs in that 20-25 range seem to be trying too hard. They're using the keyword multiple times in the domain/path/filename and fit with what many SEOs call "spammy-looking." It could certainly be a weakness in our ...
curve results. Common loan attributes such as Loan-to-Value (LTV) ratio, income level, and interest rate come out near the top in the explanations for both models used. These familiar factors can be easily recognized by anyone who holds a mortgage or works in the debt instrument domain. ...
In particular, we showed that TalkToModel is a highly effective way for domain experts such as healthcare workers to understand ML models, like those applied to disease diagnosis. Lastly, we designed TalkToModel to be highly extensible and released the code, data and a demo for the system ...
Staining normalization and online data augmentation (random flipping, brightness, saturation and hue perturbation) are used to reduce the domain shift between the different centers. A dataset with manual segmentation of the nuclei [36]10 is used to extract the concept measures and learn the ...
In great detail, P and G classify the range of examples of metonymy in their article according to three 'dimensions' of prototypicality: strength of contact, degree of boundedness and domain (from space to time to spatiotemporal and 'categorical' domain). In this comment, I argue that ...
A further advantage of this implementation is the possibility to customize the data compression to our needs: to facilitate interpretation, we would like each basis vector to uniquely represent heatwaves in some localized part of the domain. With the neural network implementation of the lPCA, we ...
The similarity between distributions across all networks of various size, density and domain is striking. From all of these results, the surface-depth model appears as a good candidate for a unifying theory of attachment in complex network topologies, achieving scale-free like distributions in ...