Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Georgogiannis Alexandros"'
Autor:
Makantasis, Konstantinos, Georgogiannis, Alexandros, Voulodimos, Athanasios, Georgoulas, Ioannis, Doulamis, Anastasios, Doulamis, Nikolaos
An increasing number of emerging applications in data science and engineering are based on multidimensional and structurally rich data. The irregularities, however, of high-dimensional data often compromise the effectiveness of standard machine learn
Externí odkaz:
http://arxiv.org/abs/2104.05048
Publikováno v:
MLSP
Gaussian graphical models are of great interest in statistical learning. Since the conditional independence between the variables corresponds to zero entries in the inverse covariance matrix, one can learn the structure of the graph by estimating a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37e4fa886d8303e35f7c8e8004fcb154
https://doi.org/10.1109/mlsp.2014.6958915
https://doi.org/10.1109/mlsp.2014.6958915
Publikováno v:
Advances in Building Energy Research; May2018, Vol. 12 Issue 1, p116-137, 22p
Publikováno v:
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO); 1/ 1/2012, p2045-2049, 5p
Autor:
Georgogiannis Alexandros
Summarization: Over the last years, many variations of the quadratic k-means clustering procedure have been proposed, all aiming to robustify the performance of the algorithm in the presence of outliers. In general terms, two main approaches have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4037::3d5d7437f05a97926379f372914509f9
https://papers.nips.cc/paper/6126-robust-k-means-a-theoretical-revisit
https://papers.nips.cc/paper/6126-robust-k-means-a-theoretical-revisit
Autor:
Georgogiannis Alexandros
Summarization: This is a theoretical study on the sample complexity of dictionary learning with general type of reconstruction losses. The goal is to estimate a m × d matrix D of unit-norm columns when the only available information is a set of trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4037::da3962919acb9b8388aa64131899d71f
http://purl.tuc.gr/dl/dias/15DF46BD-9435-46FE-8EAC-A8B6557F4385
http://purl.tuc.gr/dl/dias/15DF46BD-9435-46FE-8EAC-A8B6557F4385
Autor:
Georgogiannis Alexandros
Submitted to the School of Electronic and Computer Engineering in partial fulfillment of the requirements for the Master of Science degree Summarization: Since its earliest days as a discipline, machine learning has made use of optimization formulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4037::126ba6b22d390fde044fec5f4e4b9f36
http://purl.tuc.gr/dl/dias/E7D9F04C-CAE3-4DEF-858F-1A6B3BEF26EC
http://purl.tuc.gr/dl/dias/E7D9F04C-CAE3-4DEF-858F-1A6B3BEF26EC