Zobrazeno 1 - 10
of 17
pro vyhledávání: '"George L. Rudolph"'
Publikováno v:
AKCE International Journal of Graphs and Combinatorics, Vol 13, Iss 1, Pp 38-53 (2016)
A k-ranking of a directed graph G is a labeling of the vertex set of G with k positive integers such that every directed path connecting two vertices with the same label includes a vertex with a larger label in between. The rank number of G is define
Externí odkaz:
https://doaj.org/article/b42509a91f8b4a9c8e29e3d565a2d3f3
Publikováno v:
AKCE International Journal of Graphs and Combinatorics, Vol 13, Iss 1, Pp 38-53 (2016)
A $k$-ranking of a directed graph $G$ is a labeling of the vertex set of $G$ with $k$ positive integers such that every directed path connecting two vertices with the same label includes a vertex with a larger label in between. The rank number of $G$
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d471f660cf6a488cd077b08330c8136
http://arxiv.org/abs/1702.02142
http://arxiv.org/abs/1702.02142
Publikováno v:
Computational Intelligence. 28:176-208
Reinforcement Programming (RP) is a new approach to automatically generating algorithms that uses reinforcement learning techniques. This paper introduces the RP approach and demonstrates its use to generate a generalized, in-place, iterative sort al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef10e184e2e01573f517cca2bf67d0e7
https://doi.org/10.1111/j.1467-8640.2012.00413.x
https://doi.org/10.1111/j.1467-8640.2012.00413.x
Autor:
George L. Rudolph, Tony Martinez
Publikováno v:
Future Generation Computer Systems. 12:547-564
Most artificial neural networks (ANNs) have a fixed topology during learning, and often suffer from a number of shortcomings as a result. Variations of ANNs that use dynamic topologies have shown ability to overcome many of these problems. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6567f35d69cba3e76eec7e8ca0722f3b
https://doi.org/10.1016/s0167-739x(96)00018-0
https://doi.org/10.1016/s0167-739x(96)00018-0
Autor:
Tony Martinez, George L. Rudolph
Publikováno v:
International Journal of Neural Systems. :639-653
Most Artificial Neural Networks (ANNs) have a fixed topology during learning, and often suffer from a number of short-comings as a result. ANNs that use dynamic topologies have shown the ability to overcome many of these problems. Adaptive Self-Organ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab53ce515234a7a867ff6453de21fa10
https://doi.org/10.1142/s0129065796000622
https://doi.org/10.1142/s0129065796000622
Autor:
Tony Martinez, George L. Rudolph
Publikováno v:
International Journal on Artificial Intelligence Tools. :417-427
Most Artificial Neural Networks (ANNs) have a fixed topology during learning, and typically suffer from a number of short-comings as a result. Variations of ANNs that use dynamic topologies have shown ability to overcome many of these problems. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf1f4307ba5a0ec02129dfe61f8de723
https://doi.org/10.1142/s0218213094000248
https://doi.org/10.1142/s0218213094000248
Publikováno v:
IJCNN
Many learning algorithms have been developed to solve various problems. Machine learning practitioners must use their knowledge of the merits of the algorithms they know to decide which to use for each task. This process often raises questions such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c631ca800b8637644a8817a1afa498d6
https://doi.org/10.1109/ijcnn.2011.6033284
https://doi.org/10.1109/ijcnn.2011.6033284
Publikováno v:
IEEE Congress on Evolutionary Computation
Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approach and gives results of experiments using RP to generate a generalized, in-place,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38a4b3a8142362b5e18b9b62d94144ef
https://doi.org/10.1109/cec.2010.5586457
https://doi.org/10.1109/cec.2010.5586457
Publikováno v:
ACM Southeast Regional Conference
Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to generate code for three binary addition problems: simulate a full adder cir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c4f0032169ce7445a9fb3ac9a57ae9
https://doi.org/10.1145/1900008.1900072
https://doi.org/10.1145/1900008.1900072
Publikováno v:
ACM Southeast Regional Conference
Consider a situation in which a mobile wireless user needs connectivity to the Internet. One such situation arises in battlefield or at disaster recovery site where it may not be feasible to set up a fixed network. An alternative solution to this pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d5283d691b0fd435c94d202ed8d690d
https://doi.org/10.1145/1900008.1900036
https://doi.org/10.1145/1900008.1900036