Machine Learning on Images with Noisy Human-Centric Labels
Data Skeptic
When humans describe images, they have a reporting bias, in that the report only what they consider important. Thus, in addition to considering whether something is present in an image, one should consider whether it is also relevant to the image before labelingNext Episodes
Survival Analysis and Marriage @ Data Skeptic
📆 2016-07-29 02:00
Predictive Models on Random Data @ Data Skeptic
📆 2016-07-22 02:00
Receiver operating characteristic (ROC) curve @ Data Skeptic
📆 2016-07-15 02:00
Multiple Comparisons and Conversion Optimization @ Data Skeptic
📆 2016-07-08 02:00
Leakage @ Data Skeptic
📆 2016-07-01 02:00