Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Benczúr, András A."'
In this paper we introduce the so-called Generalized Naive Bayes structure as an extension of the Naive Bayes structure. We give a new greedy algorithm that finds a good fitting Generalized Naive Bayes (GNB) probability distribution. We prove that th
Externí odkaz:
http://arxiv.org/abs/2408.15923
One of the main theoretical challenges in learning dynamical systems from data is providing upper bounds on the generalization error, that is, the difference between the expected prediction error and the empirical prediction error measured on some fi
Externí odkaz:
http://arxiv.org/abs/2405.10054
In this work, we examine Asymmetric Shapley Values (ASV), a variant of the popular SHAP additive local explanation method. ASV proposes a way to improve model explanations incorporating known causal relations between variables, and is also considered
Externí odkaz:
http://arxiv.org/abs/2310.09961
Partite, $3$-uniform hypergraphs are $3$-uniform hypergraphs in which each hyperedge contains exactly one point from each of the $3$ disjoint vertex classes. We consider the degree sequence problem of partite, $3$-uniform hypergraphs, that is, to dec
Externí odkaz:
http://arxiv.org/abs/2308.13251
Network-level privacy is the Achilles heel of financial privacy in cryptocurrencies. Financial privacy amounts to achieving and maintaining blockchain- and network-level privacy. Blockchain-level privacy recently received substantial attention. Speci
Externí odkaz:
http://arxiv.org/abs/2306.15024
Publikováno v:
Extended abstract for Complex Networks 2021 (CNA21) conference
We demonstrate the applicability of network embedding to vaccine skepticism, a controversial topic of long-past history. With the Covid-19 pandemic outbreak at the end of 2019, the topic is more important than ever. Only a year after the first intern
Externí odkaz:
http://arxiv.org/abs/2110.13619
When processing data streams with highly skewed and nonstationary key distributions, we often observe overloaded partitions when the hash partitioning fails to balance data correctly. To avoid slow tasks that delay the completion of the whole stage o
Externí odkaz:
http://arxiv.org/abs/2105.15023
Ethereum is the largest public blockchain by usage. It applies an account-based model, which is inferior to Bitcoin's unspent transaction output model from a privacy perspective. Due to its privacy shortcomings, recently several privacy-enhancing ove
Externí odkaz:
http://arxiv.org/abs/2005.14051
Hierarchical neural networks are exponentially more efficient than their corresponding "shallow" counterpart with the same expressive power, but involve huge number of parameters and require tedious amounts of training. By approximating the tangent s
Externí odkaz:
http://arxiv.org/abs/1912.09306
Lightning Network (LN) is designed to amend the scalability and privacy issues of Bitcoin. It's a payment channel network where Bitcoin transactions are issued off chain, onion routed through a private payment path with the aim to settle transactions
Externí odkaz:
http://arxiv.org/abs/1911.09432