Titlebook: New Frontiers in Artificial Intelligence; JSAI 2006 Conference Takashi Washio,Ken Satoh,Akihiro Inokuchi Conference proceedings 2007 Spring

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Hiroshi Yamakawa,Koji Maruhashi,Yoshio Nakao present in this paper. Our results show that this heuristic is able to reduce the number of colors between one and two orders of magnitude. More specifically, when the number of colors is large (>5,000,000) the number of colors is reduced by a factor of 136 by our heuristic. An implementation of th

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Keiji Hirata,Satoshi Tojo and derive some instantiations, leading to well-known factor- and factor oracle-based algorithms. In doing so, we show the shift functions used for them can be (strengthenings of) shift functions used for suffix-based algorithms. This also results in a number of previously undescribed factor-based

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Elin McCreadye, the first sorting by . rearrangements problem that admits an approximation ratio strictly smaller than 2 (with the obvious exception of the polynomial-time solvable problems); and finally, (4) an . algorithm for sorting by unsigned prefix DCJs parameterised by the number of breakpoints in the gen

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Norihiro Ogatame queries are optimal given optimal space. Secondly, we bound ., giving clean bounds in terms of . and . that match the state of the art. Furthermore, we prove that . bits of space is necessary in the worst case, meaning that the . upper bound is tight to within polylogarithmic factors. All of our

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Tomoyuki Yamadame queries are optimal given optimal space. Secondly, we bound ., giving clean bounds in terms of . and . that match the state of the art. Furthermore, we prove that . bits of space is necessary in the worst case, meaning that the . upper bound is tight to within polylogarithmic factors. All of our