Robust hypothesis testing in statistical classification addresses the challenge of deciding which of several categories best explains observed data when models are uncertain, incomplete or ...

In addition, knowledge of discordant classifications or receipt of erroneous pathogenic classifications may cause unnecessary patient anxiety. This may also extend to family members when testing is ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

Predictive gene signature for the efficacy of pazopanib in solitary fibrous tumor: A Spanish Group for Research in Sarcoma (GEIS) study. Few STS types reclassified based on molecular findings.