Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lilyana Mihalkova"'
Publikováno v:
Machine Learning. 99:1-45
Lifted graphical models provide a language for expressing dependencies between different types of entities, their attributes, and their diverse relations, as well as techniques for probabilistic reasoning in such multi-relational domains. In this sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5aa25664536eb7628e1c58de2fd902b6
https://doi.org/10.1007/s10994-014-5443-2
https://doi.org/10.1007/s10994-014-5443-2
Autor:
Pascal Hitzler, Bhaskara Marthi, Anita Raja, Mark O. Riedl, Lilyana Mihalkova, Sriraam Natarajan, David W. Aha, Artur S. d'Avila Garcez, Leslie Pack Kaelbling, Alon Halevy, Robert P. Goldman, Luis C. Lamb, Kristian Kersting, Mark S. Boddy, Vivi Nastase, Gita Sukthankar, Christopher W. Geib, Piotr J. Gmytrasiewicz, Stuart Russell, Stefan Edelkamp, Charles L. Isbell, Jan-Georg Smaus, Darsana P. Josyula, Karl Tuyls, Prashant Doshi, Ron van der Meyden, Keith McGreggor, Ashwin Ram, Gregory Provan, Maithilee Kunda, Ashish Sabharwal, Vadim Bulitko
Publikováno v:
Scopus-Elsevier
Ai Magazine, 31(4), 95-108. AI Access Foundation
AI Magazine; Vol 31, No 4: Winter 2010; 95-108
ResearcherID
Ai Magazine, 31(4), 95-108. AI Access Foundation
AI Magazine; Vol 31, No 4: Winter 2010; 95-108
ResearcherID
The AAAI-10 workshop program was held on July 11-12, 2010, at the Westin Peachtree Plaza in Atlanta, Georgia. The workshop program included 13 workshops covering a wide range of topics in artificial intelligence. There were several presentations on p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85c6f62b246b7b02b38769efdf7e8441
https://cris.maastrichtuniversity.nl/en/publications/014b3940-1a37-407a-a787-c3b0e661bc59
https://cris.maastrichtuniversity.nl/en/publications/014b3940-1a37-407a-a787-c3b0e661bc59
Autor:
Lilyana Mihalkova, Lise Getoor
Publikováno v:
SIGMOD Conference
Statistical Relational Learning (SRL) is a subarea of machine learning which combines elements from statistical and probabilistic modeling with languages which support structured data representations. In this survey, we will: 1) provide an introducti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d64918692fcabc3c112d317bbdd3eae
https://doi.org/10.1145/1989323.1989451
https://doi.org/10.1145/1989323.1989451
Autor:
Lilyana Mihalkova, Lise Getoor
Publikováno v:
WSDM
The popularity of Web 2.0, characterized by a proliferation of social media sites, and Web 3.0, with more richly semantically annotated objects and relationships, brings to light a variety of important prediction, ranking, and extraction tasks. The i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1ba06823b8171b73ae89ebf0d125425
https://doi.org/10.1145/1935826.1935834
https://doi.org/10.1145/1935826.1935834
Publikováno v:
2011 IEEE Workshop on Person-Oriented Vision.
We address the problem of searching camera network videos to retrieve frames containing specified individuals. We show the benefit of utilizing a learned probabilistic model that captures dependencies among the cameras. In addition, we develop an act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d2050f815ed1688ece50fab2e54b9ed
https://doi.org/10.1109/pov.2011.5712363
https://doi.org/10.1109/pov.2011.5712363
Autor:
Lilyana Mihalkova, Matthew Richardson
Publikováno v:
Inductive Logic Programming ISBN: 9783642138393
ILP
ILP
Markov logic networks (MLNs) have been successfully applied to several challenging problems by taking a "programming language" approach where a set of formulas is hand-coded and weights are learned from data. Because inference plays an important role
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54b055ab2300d7d7c71fe8f3d453f3fc
https://doi.org/10.1007/978-3-642-13840-9_11
https://doi.org/10.1007/978-3-642-13840-9_11
Autor:
Lilyana Mihalkova, Raymond J. Mooney
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783642041730
ECML/PKDD (2)
ECML/PKDD (2)
Web searches tend to be short and ambiguous. It is therefore not surprising that Web query disambiguation is an actively researched topic. To provide a personalized experience for a user, most existing work relies on search engine log data in which t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f9936a45c3c6e8da3ae3a035292e6ce
https://doi.org/10.1007/978-3-642-04174-7_8
https://doi.org/10.1007/978-3-642-04174-7_8
Autor:
Lilyana Mihalkova, Raymond J. Mooney
Publikováno v:
ICML
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current state-of-the-art algorithm for learning MLN structure follows a top-down p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f6ef590954964e5a57428dcf6c05b37
https://doi.org/10.1145/1273496.1273575
https://doi.org/10.1145/1273496.1273575
Publikováno v:
Multiple Classifier Systems ISBN: 9783540221449
Multiple Classifier Systems
Multiple Classifier Systems
One of the potential advantages of multiple classifier systems is an increased robustness to noise and other imperfections in data. Previous experiments on classification noise have shown that bagging is fairly robust but that boosting is quite sensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2feed217c0e02b570c86a4732b54adf7
https://doi.org/10.1007/978-3-540-25966-4_29
https://doi.org/10.1007/978-3-540-25966-4_29