Zobrazeno 1 - 6
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pro vyhledávání: '"Federico Schlüter"'
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in a wide range of fields. By learning the structure of independences of a domain, more accurate joint probability distributions can be obtained fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2a37e5daf1202b3972655dd63e8d793
http://arxiv.org/abs/1608.02315
http://arxiv.org/abs/1608.02315
In this work we consider the problem of learning the structure of Markov networks from data. We present an approach for tackling this problem called IBMAP, together with an efficient instantiation of the approach: the IBMAP-HC algorithm, designed for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa1df0048aaeb05054fcfda81eb2b94
http://arxiv.org/abs/1301.3720
http://arxiv.org/abs/1301.3720
Publikováno v:
ICTAI
Learning the Markov network structure from data is a problem that has received considerable attention in machine learning, and in many other application fields. This work focuses on a particular approach for this purpose called independence-based lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04702ce537ffc4eee904d846b4ece6d8
Publikováno v:
ICTAI
This work presents IBMAP, an approach for robust learning of Markov network structures from data, together with IBMAP-HC, an efficient instantiation of the approach. Existing Score-Based (SB) and Independence-Based (IB) approaches must make concessio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a0fed91c0783ee97d7016bf68da728f
https://doi.org/10.1109/ictai.2011.81
https://doi.org/10.1109/ictai.2011.81
Autor:
Federico Schlüter
This work reports the most relevant technical aspects in the problem of learning the \emph{Markov network structure} from data. Such problem has become increasingly important in machine learning, and many other application fields of machine learning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3aa94d1095f437c27ccc19a80125c23
Autor:
Schlüter, Federico
Publikováno v:
Artificial Intelligence Review; Dec2014, Vol. 42 Issue 4, p1069-1093, 25p