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Ideas tagged with deep learning
Reproducible Research with End-to-end Machine Inference Using Deep Learning and Bayesian Statistics
The conventional statistical inference based on hypothesis testing and *p*-value is fundamentally flawed. The general practice of data analysis involves too many post hoc decisions makings based on *p*-value, which unavoidably violates the assumptions of frequentist statistics, and worse, leaks ...
By Junpeng Lao
Kickstarting research into end-to-end trigger systems
The data volumes (_**O**_(TB/s)) created at the Large Hadron Collider (LHC) are too large to record. Typical rejection factors are _**O**_(100-1000), and using as little CPU time as possible to reject an event is the goal. More powerful decision features take more CPU time to construct, therefor...
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