Results 21 to 30 of about 5,940,643 (309)

Lower Bounds for Approximate LDCs [PDF]

open access: yes, 2014
We study an approximate version of $q$-query LDCs (Locally Decodable Codes) over the real numbers and prove lower bounds on the encoding length of such codes. A $q$-query $(α,δ)$-approximate LDC is a set $V$ of $n$ points in $\mathbb{R}^d$ so that, for each $i \in [d]$ there are $Ω(δn)$ disjoint $q$-tuples $(\vec{u}_1,\ldots,\vec{u}_q) $ in $V$ so that
J. Briët (Jop)   +3 more
openaire   +5 more sources

Generalized Lower and Upper Approximations in Quantales [PDF]

open access: yesJournal of Applied Mathematics, 2012
We introduce the concepts of set‐valued homomorphism and strong set‐valued homomorphism of a quantale which are the extended notions of congruence and complete congruence, respectively. The properties of generalized lower and upper approximations, constructed by a set‐valued mapping, are discussed.
Qimei Xiao, Qingguo Li
openaire   +5 more sources

The Lattice Structures of Approximation Operators Based on L-Fuzzy Generalized Neighborhood Systems

open access: yesComplexity, 2021
Following the idea of L-fuzzy generalized neighborhood systems as introduced by Zhao et al., we will give the join-complete lattice structures of lower and upper approximation operators based on L-fuzzy generalized neighborhood systems. In particular, as
Qiao-Ling Song   +5 more
doaj   +1 more source

The lower tail: Poisson approximation revisited [PDF]

open access: yesRandom Structures & Algorithms, 2015
The well-known "Janson's inequality" gives Poisson-like upper bounds for the lower tail probability \Pr(X \le (1-\eps)\E X) when X is the sum of dependent indicator random variables of a special form. We show that, for large deviations, this inequality is optimal whenever X is approximately Poisson, i.e., when the dependencies are weak. We also present
Svante Janson, Lutz Warnke
openaire   +4 more sources

Misinformation Correction Maximization Problem with Edge Addition in Social Networks [PDF]

open access: yesJisuanji kexue, 2022
The popularity of online social networks such as Wechat has aroused people’s more attention to information diffusion.The spread of misinformation in social networks may lead to serious consequences,such as economic losses and public panic.Therefore ...
SONG Xin-yue, SHUAI Tian-ping, CHEN Bin
doaj   +1 more source

Streaming Algorithms with Large Approximation Factors [PDF]

open access: yes, 2022
We initiate a broad study of classical problems in the streaming model with insertions and deletions in the setting where we allow the approximation factor α to be much larger than 1.
Zhang, Yuheng   +3 more
core   +1 more source

Minimum 2SAT-DELETION: inapproximability results and relations to Minimum Vertex Cover [PDF]

open access: yes, 2007
The MINIMUM 2SAT-DELETION problem is to delete the minimum number of clauses in a 2SAT instance to make it satisfiable. It is one of the prototypes in the approximability hierarchy of minimization problems Khanna et al.
Chlebikova, Janka   +3 more
core   +1 more source

A New Single-Valued Neutrosophic Rough Sets and Related Topology

open access: yesJournal of Mathematics, 2021
(Fuzzy) rough sets are closely related to (fuzzy) topologies. Neutrosophic rough sets and neutrosophic topologies are extensions of (fuzzy) rough sets and (fuzzy) topologies, respectively. In this paper, a new type of neutrosophic rough sets is presented,
Qiu Jin   +3 more
doaj   +1 more source

Unsupervised Attribute Reduction Algorithm for Mixed Data Based on Fuzzy Optimal Approximation Set

open access: yesMathematics, 2023
Fuzzy rough set theory has been successfully applied to many attribute reduction methods, in which the lower approximation set plays a pivotal role. However, the definition of lower approximation used has ignored the information conveyed by the upper ...
Haotong Wen, Shixin Zhao, Meishe Liang
doaj   +1 more source

Lower Bounds for Approximate Knowledge Compilation [PDF]

open access: yesProceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Knowledge compilation studies the trade-off between succinctness and efficiency of different representation languages. For many languages, there are known strong lower bounds on the representation size, but recent work shows that, for some languages, one can bypass these bounds using approximate compilation.
Alexis de Colnet, Stefan Mengel
openaire   +4 more sources

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