BEGIN:VCALENDAR VERSION:2.0 PRODID:ILLC Website X-WR-TIMEZONE:Europe/Amsterdam BEGIN:VTIMEZONE TZID:Europe/Amsterdam X-LIC-LOCATION:Europe/Amsterdam BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701025T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:/NewsandEvents/Archives/2017/newsitem/8683/19- June-2017-Workshop-Learning-and-Automata-LearnAut- 2017-Reykjavik-Iceland DTSTAMP:20170216T152447 SUMMARY:Workshop Learning and Automata (LearnAut 2 017), Reykjavik, Iceland DTSTART;VALUE=DATE:20170619 DTEND;VALUE=DATE:20170619 LOCATION:Reykjavik, Iceland DESCRIPTION:Grammatical Inference (GI) studies mac hine learning algorithms for classical recursive m odels of computations like automata and grammars. The expressive power of these models and the compl exity of associated computational problems are a m ajor research topic within theoretical computer sc ience (TCS). This workshop aims at offering a favo rable place for dialogue and at generating discuss ions between researchers from these two communitie s. The workshop will have a particular emphasis o n the recent successes due to collaborations betwe en members with these two different backgrounds. We invite submissions of recent works, possibly pr eliminary ones, related to the theme of the worksh op. Similarly to how main machine learning confere nces and workshops are organized, all accepted abs tracts will be part of a poster session held durin g the workshop. Additionally, the Program Committe e will select a subset of the abstracts for oral p resentation. At least one author of each accepted abstract is expected to represent it at the worksh op. X-ALT-DESC;FMTTYPE=text/html:
Grammatic al Inference (GI) studies machine learning algorit hms for classical recursive models of computations like automata and grammars. The expressive power of these models and the complexity of associated c omputational problems are a major research topic w ithin theoretical computer science (TCS). This wor kshop aims at offering a favorable place for dialo gue and at generating discussions between research ers from these two communities.
\n\nThe wo rkshop will have a particular emphasis on the rece nt successes due to collaborations between members with these two different backgrounds.
We invite submissions of recent works, p ossibly preliminary ones, related to the theme of the workshop. Similarly to how main machine learni ng conferences and workshops are organized, all ac cepted abstracts will be part of a poster session held during the workshop. Additionally, the Progra m Committee will select a subset of the abstracts for oral presentation. At least one author of each accepted abstract is expected to represent it at the workshop.
URL:https://learnaut.wordpress.com/ END:VEVENT END:VCALENDAR