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pro vyhledávání: '"Koji Tsuruma"'
Autor:
Shin-ichi Minato, Koji Tsuruma, Hiroaki Iwashita, Ryo Yoshinaka, Toshiki Saitoh, Jun Kawahara
Publikováno v:
Algorithms, Vol 5, Iss 2, Pp 176-213 (2012)
Link puzzles involve finding paths or a cycle in a grid that satisfy given local and global properties. This paper proposes algorithms that enumerate solutions and instances of two link puzzles, Slitherlink and Numberlink, by zero-suppressed binary d
Externí odkaz:
https://doaj.org/article/e8d4bf7509dd4ca38f67ce7549273c20
Autor:
Toshiki Saitoh, Koji Tsuruma, Ryo Yoshinaka, Hiroaki Iwashita, Jun Kawahara, Shin-ichi Minato
Publikováno v:
Algorithms; Volume 5; Issue 2; Pages: 176-213
Algorithms, Vol 5, Iss 2, Pp 176-213 (2012)
Algorithms, Vol 5, Iss 2, Pp 176-213 (2012)
Link puzzles involve finding paths or a cycle in a grid that satisfy given local and global properties. This paper proposes algorithms that enumerate solutions and instances of two link puzzles, Slitherlink and Numberlink, by zero-suppressed binary d
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642374869
DASFAA (1)
DASFAA (1)
Similarity joins between two collections of item sets have recently been investigated and have attracted significant attention, especially for linguistic applications such as those involving spelling error corrections and data cleaning. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d146f37c5125eb63315d589d3f218163
https://doi.org/10.1007/978-3-642-37487-6_7
https://doi.org/10.1007/978-3-642-37487-6_7
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783642302169
PAKDD (1)
PAKDD (1)
In this paper, we present a set recommendation framework that proposes sets of items, whereas conventional recommendation methods recommend each item independently. Our new approach to the set recommendation framework can propose sets of items on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f31db63a46e82bf854bbadde799f4b8
https://doi.org/10.1007/978-3-642-30217-6_16
https://doi.org/10.1007/978-3-642-30217-6_16