Zobrazeno 1 - 4
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pro vyhledávání: '"Fahandar, Mohsen Ahmadi"'
Building on a specific formalization of analogical relationships of the form "A relates to B as C relates to D", we establish a connection between two important subfields of artificial intelligence, namely analogical reasoning and kernel-based machin
Externí odkaz:
http://arxiv.org/abs/1901.02001
Publikováno v:
Proceedings of the 34th International Conference on Machine Learning (ICML 2017), Sydney, Australia, PMLR 70:1078-1087, 2017
We consider the problem of statistical inference for ranking data, specifically rank aggregation, under the assumption that samples are incomplete in the sense of not comprising all choice alternatives. In contrast to most existing methods, we explic
Externí odkaz:
http://arxiv.org/abs/1712.01158
Object ranking or "learning to rank" is an important problem in the realm of preference learning. On the basis of training data in the form of a set of rankings of objects represented as feature vectors, the goal is to learn a ranking function that p
Externí odkaz:
http://arxiv.org/abs/1711.10207
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
Object ranking or "learning to rank" is an important problem in the realm of preference learning. On the basis of training data in the form of a set of rankings of objects represented as feature vectors, the goal is to learn a ranking function that p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94347dec8d4cb9fd3dcd0c2ba22ea583
https://doi.org/10.1609/aaai.v32i1.11723
https://doi.org/10.1609/aaai.v32i1.11723
