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of 31
pro vyhledávání: '"68p99"'
Autor:
Sarr, Djibril
In the era of big data, ensuring the quality of datasets has become increasingly crucial across various domains. We propose a comprehensive framework designed to automatically assess and rectify data quality issues in any given dataset, regardless of
Externí odkaz:
http://arxiv.org/abs/2409.10139
Autor:
Arian, Reeshad, Hamm, Keaton
This article explores subspace clustering algorithms using CUR decompositions, and examines the effect of various hyperparameters in these algorithms on clustering performance on two real-world benchmark datasets, the Hopkins155 motion segmentation d
Externí odkaz:
http://arxiv.org/abs/2106.12016
Publikováno v:
Proceedings of the 2018 SIAM International Conference on Data Mining (SDM)
Leadership plays a key role in social animals, including humans, decision-making and coalescence in coordinated activities such as hunting, migration, sport, diplomatic negotiation etc. In these coordinated activities, leadership is a process that or
Externí odkaz:
http://arxiv.org/abs/2104.02291
Thanks to the increasing growth of computational power and data availability, the research in machine learning has advanced with tremendous rapidity. Nowadays, the majority of automatic decision making systems are based on data. However, it is well k
Externí odkaz:
http://arxiv.org/abs/2101.11358
Publikováno v:
journal of imaging, 2021
Matrix completion, the problem of completing missing entries in a data matrix with low dimensional structure (such as rank), has seen many fruitful approaches and analyses. Tensor completion is the tensor analog, that attempts to impute missing tenso
Externí odkaz:
http://arxiv.org/abs/2003.08537
Autor:
Deng Zhaoxia
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This study delves into the four characteristics of data accessibility across seven APEC countries, identifying key regulatory disparities in utilizing health-related data for medical research, including the potential reuse of health-related data, inc
Externí odkaz:
https://doaj.org/article/2712258e1ea64d5ca92c09713f2a9349
Publikováno v:
ACM Transactions on Knowledge Discovery from Data (TKDD), 14(3), 35 (2020)
How do groups of individuals achieve consensus in movement decisions? Do individuals follow their friends, the one predetermined leader, or whomever just happens to be nearby? To address these questions computationally, we formalize "Coordination Str
Externí odkaz:
http://arxiv.org/abs/1911.01366
We explore some novel connections between the main privacy models in use and we recall a few known ones. We show these models to be more related than commonly understood, around two main principles: deniability and permutation. In particular, randomi
Externí odkaz:
http://arxiv.org/abs/1803.02139
Privacy-preserving data splitting is a technique that aims to protect data privacy by storing different fragments of data in different locations. In this work we give a new combinatorial formulation to the data splitting problem. We see the data spli
Externí odkaz:
http://arxiv.org/abs/1801.05974
Autor:
Bermúdez, Juanjo
We present an online voting architecture based on partitioning the election in small clusters of voters and using a new Multi-party Computation algorithm for obtaining voting results from the clusters. This new algorithm has some practical advantages
Externí odkaz:
http://arxiv.org/abs/1603.04228