In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
Permanent link for public information only:
Permanent link for all public and protected information:
Aperitivo scientifico: Recent advances in the Machine Learning Methods for the High-Energy Physics
(Yandex School of Data Analysis - Mosca)
Sala riunioni I piano (Dep. of Physics and Astronomy)
Sala riunioni I piano
Dep. of Physics and Astronomy
Via Irnerio 46
In my talk, I briefly cover several problems that are characteristic for the High-Energy Physics. These problems cover broad variety of tasks from data taking to the final physics analysis. I will take a closer look into the triggering system, anomaly detection, and data storage optimization based on dataset popularity. The abundance of data coming from modern experiments also gave interesting application techniques to be developed. In the second part of my talk, I will provide a description and an overview of the code for the flatness boosting techniques and the reweighting using the Boosted Decision Trees.