Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Giancarlo Raffaele"'
This research concerns Learned Data Structures, a recent area that has emerged at the crossroad of Machine Learning and Classic Data Structures. It is methodologically important and with a high practical impact. We focus on Learned Indexes, i.e., Lea
Externí odkaz:
http://arxiv.org/abs/2309.00946
Digital Transformation (DT) is the process of integrating digital technologies and solutions into the activities of an organization, whether public or private. This paper focuses on the DT of public sector organizations, where the targets of innovati
Externí odkaz:
http://arxiv.org/abs/2305.05551
Autor:
Giancarlo, Raffaele, Grimaudo, Gennaro
Motivation: A Genomic Dictionary, i.e., the set of the k-mers appearing in a genome, is a fundamental source of genomic information: its collection is the first step in strategic computational methods ranging from assembly to sequence comparison and
Externí odkaz:
http://arxiv.org/abs/2212.03067
Learned Bloom Filters, i.e., models induced from data via machine learning techniques and solving the approximate set membership problem, have recently been introduced with the aim of enhancing the performance of standard Bloom Filters, with special
Externí odkaz:
http://arxiv.org/abs/2211.15565
Autor:
Giancarlo, Raffaele, Manzini, Giovanni, Restivo, Antonio, Rosone, Giovanna, Sciortino, Marinella
Introduced about thirty years ago in the field of Data Compression, the Burrows-Wheeler Transform (BWT) is a string transformation that, besides being a booster of the performance of memoryless compressors, plays a fundamental role in the design of e
Externí odkaz:
http://arxiv.org/abs/2205.05643
On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes
With the aim of obtaining time/space improvements in classic Data Structures, an emerging trend is to combine Machine Learning techniques with the ones proper of Data Structures. This new area goes under the name of Learned Data Structures. The motiv
Externí odkaz:
http://arxiv.org/abs/2203.14777
Learned Indexes are a novel approach to search in a sorted table. A model is used to predict an interval in which to search into and a Binary Search routine is used to finalize the search. They are quite effective. For the final stage, usually, the l
Externí odkaz:
http://arxiv.org/abs/2201.01554
Bloom Filters are a fundamental and pervasive data structure. Within the growing area of Learned Data Structures, several Learned versions of Bloom Filters have been considered, yielding advantages over classic Filters. Each of them uses a classifier
Externí odkaz:
http://arxiv.org/abs/2112.06563
Publikováno v:
BMC Bioinformatics, Vol 8, Iss Suppl 5, p S1 (2007)
Externí odkaz:
https://doaj.org/article/babfeb6393d9436097e40d88fde5767c
