Ferragina Didattica

463 posts

Ferragina Didattica

Ferragina Didattica

@FerraginaTeach

Tweet della Didattica, Ricerca e Innovazione di Paolo Ferragina

Pisa Katılım Şubat 2010
18 Takip Edilen639 Takipçiler
Ferragina Didattica retweetledi
PyCoder’s Weekly
PyCoder’s Weekly@pycoders·
PyGM: Python Library Implementing Sorted Containers With State-Of-The-Art Query Performance and Compressed Memory Usage bit.ly/3fwprok
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Ferragina Didattica
Ferragina Didattica@FerraginaTeach·
Our paper “Why are learned indexes so effective?”, coauthored by G. Vinciguerra and F. Lillo, has been accepted at @icmlconf 2020. Here, we provide a mathematical proof of the outstanding space improvements of the PGM-index over traditional indexes (pgm.di.unipi.it).
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Felicia Pelagalli, PhD
Felicia Pelagalli, PhD@FeliciaPelagall·
"Network #open ai gruppi di ricerca interessati a studiare il Covid con lenti diverse. Perché il Covid tocca tutti gli ambiti: famiglie, agricoltura, imprese, operai, natura, cultura" @ilariacapua Se possiamo dare una mano con la #TextAnalysis, noi ci siamo! Vero @FerraginaTeach?
marco pratellesi@marcoprat

#Coronavirus "Sconfiggeremo Covid-19 con le intelligenze collettive". Intervista a Ilaria Capua (di G. Belardelli) huffingtonpost.it/entry/sconfigg…

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PVLDB
PVLDB@pvldb·
Vol:13 No:8 → The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds vldb.org/pvldb/vol13/p1…
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Said Daoudagh
Said Daoudagh@SaidDaoudagh·
Attending THESES, a new event that brings together (young) researchers from the Department of Computer Science @DI_Unipisa of University of Pisa @Unipisa and Master’s students. theses.di.unipi.it
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Informatica@unipi.it
[email protected]@DI_Unipisa·
Great success to the first event on Master Thesis proposals by researchers of our Department and CNR theses.di.unipi.it
Informatica@unipi.it tweet media
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Ferragina Didattica
Ferragina Didattica@FerraginaTeach·
@tim_kraska Actually the first time the algorithm of Xie et al's was used for OptimalPLR was suggested in arxiv.org/abs/1903.00507 where an optimal Learned index was introduced and evaluated theoretically and experimentally against RMI and FIT-ting tree, showing its better performance.
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