Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Luca de Alfaro"'
Autor:
Marco L. Della Vedova, Eugenio Tacchini, Stefano Moret, Gabriele Ballarin, Massimo DiPierro, Luca de Alfaro
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 426, Iss 22, Pp 272-279 (2018)
The proliferation and rapid diffusion of fake news on the Internet highlight the need of automatic hoax detection systems. In the context of social networks, machine learning (ML) methods can be used for this purpose. Fake news detection strategies a
Externí odkaz:
https://doaj.org/article/2305c5e42c26463da7afa2cb8cbab015
Publikováno v:
Logical Methods in Computer Science, Vol Volume 6, Issue 3 (2010)
Simulation and bisimulation metrics for stochastic systems provide a quantitative generalization of the classical simulation and bisimulation relations. These metrics capture the similarity of states with respect to quantitative specifications writte
Externí odkaz:
https://doaj.org/article/91724a4f19294727af1bc93dd5e0275e
Publikováno v:
Logical Methods in Computer Science, Vol Volume 5, Issue 2 (2009)
We investigate logics and equivalence relations that capture the qualitative behavior of Markov Decision Processes (MDPs). We present Qualitative Randomized CTL (QRCTL): formulas of this logic can express the fact that certain temporal properties hol
Externí odkaz:
https://doaj.org/article/419cc9702fe946c58b91f6245ecc626e
Publikováno v:
Logical Methods in Computer Science, Vol Volume 4, Issue 3 (2008)
We consider two-player games played over finite state spaces for an infinite number of rounds. At each state, the players simultaneously choose moves; the moves determine a successor state. It is often advantageous for players to choose probability d
Externí odkaz:
https://doaj.org/article/439ca66a17094e95a4f9c47d12e8009b
Publikováno v:
Computer Communications. 181:58-68
Reinforcement learning (RL) has been proposed as a technique that allows nodes to learn to coordinate their transmissions in order to attain much higher channel utilization. Several RL-based approaches have been proposed to improve the performance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74415844a28966113dd247b3da676f55
https://doi.org/10.1016/j.comcom.2021.09.018
https://doi.org/10.1016/j.comcom.2021.09.018
Publikováno v:
SIGMOD Conference
Machine learning models may perform differently on different data subgroups, which we represent as itemsets (i.e., conjunctions of simple predicates). The identification of these critical data subgroups plays an important role in many applications, f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e50c66ef16a2691f82f664cded84968
http://hdl.handle.net/11583/2900694
http://hdl.handle.net/11583/2900694
Publikováno v:
NetAI@SIGCOMM
A new reinforcement-learning approach is introduced to improve the performance of the slotted ALOHA protocol. Nodes use known periodic schedules as base policies with which they can collaboratively learn how to transmit periodically in different time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85f3e54c81ecfb2686aeafa430866077
https://doi.org/10.1145/3405671.3405817
https://doi.org/10.1145/3405671.3405817
Autor:
Luca de Alfaro, Shenshen Liang
Publikováno v:
ICCDE
Identifying the top-K items in a set of items is a problem that finds applications in many areas, such as recommender systems, social review platforms, online contests, web search, and more. Crowdsourcing provides an effective way to collect input fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5689c07a8fe56891b970c5903da2bf91
https://doi.org/10.1145/3379247.3379273
https://doi.org/10.1145/3379247.3379273
Publikováno v:
MSWiM
Slotted ALOHA is known to have poor channel utilization (a maximum of 37% when average offered load is one packet per time slot). Reinforcement learning has recently been proposed as a technique that allows nodes to learn to coordinate their transmis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7818017398204d4998b3b19d11db5495
https://escholarship.org/uc/item/19f004wt
https://escholarship.org/uc/item/19f004wt
Autor:
Luca de Alfaro, Rakshit Agrawal
Publikováno v:
The World Wide Web Conference.
Graph edges, along with their labels, can represent information of fundamental importance, such as links between web pages, friendship between users, the rating given by users to other users or items, and much more. We introduce LEAP, a trainable, ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17defbc19f7d76115a6e7f9a57260ab
https://doi.org/10.1145/3308558.3313695
https://doi.org/10.1145/3308558.3313695