Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Looks, Moshe"'
Neural networks that compute over graph structures are a natural fit for problems in a variety of domains, including natural language (parse trees) and cheminformatics (molecular graphs). However, since the computation graph has a different shape and
Externí odkaz:
http://arxiv.org/abs/1702.02181
Autor:
Krakovna, Viktoriya, Looks, Moshe
Sum-Product Networks (SPNs) are a class of expressive yet tractable hierarchical graphical models. LearnSPN is a structure learning algorithm for SPNs that uses hierarchical co-clustering to simultaneously identifying similar entities and similar fea
Externí odkaz:
http://arxiv.org/abs/1602.04259
Publikováno v:
Proceedings of the 12th Annual Conference: Genetic & Evolutionary Computation; 7/ 7/2010, p917-924, 8p
Autor:
Looks, Moshe
Publikováno v:
Proceedings of the 9th Annual Conference: Genetic & Evolutionary Computation; 7/ 7/2007, p1636-1642, 7p
Autor:
Looks, Moshe
Publikováno v:
Proceedings of the 9th Annual Conference: Genetic & Evolutionary Computation; 7/ 7/2007, p539-546, 8p
Publikováno v:
Proceedings of the 9th Annual Conference: Genetic & Evolutionary Computation; 7/ 7/2007, p407-414, 8p
Autor:
Looks, Moshe
Publikováno v:
Proceedings of the 8th Annual Conference: Genetic & Evolutionary Computation; 7/ 8/2006, p429-430, 2p
Autor:
Looks, Moshe
Publikováno v:
Proceedings of the 9th Annual Conference: Genetic & Evolutionary Computation; 7/ 7/2007, p626-626, 1p