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Characterizing Attributed Tree Translations in Terms of Macro Tree Transducers 用宏树换能器描述属性树翻译
Pub Date : 2022-09-15 DOI: 10.48550/arXiv.2209.07090
Kenji Hashimoto, S. Maneth
It is well known that attributed tree transducers can be equipped with"regular look-around"in order to obtain a more robust class of translations. We present two characterizations of this class in terms of macro tree transducers (MTTs): the first one is a static restriction on the rules of the MTTs, where the MTTs need to be equipped with regular look-around. The second characterization is a dynamic one, where the MTTs only need regular look-ahead.
众所周知,属性树换能器可以配备“常规查找”,以获得更健壮的翻译类。我们在宏树传感器(mtt)方面提出了这类的两个特征:第一个是对mtt规则的静态限制,其中mtt需要配备常规的环顾。第二个特征是动态的,其中mtt只需要定期提前查看。
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引用次数: 0
Sharp bounds on the price of bandit feedback for several models of mistake-bounded online learning 几个错误边界在线学习模型的强盗反馈价格的尖锐界限
Pub Date : 2022-09-03 DOI: 10.48550/arXiv.2209.01366
R. Feng, Jesse T. Geneson, Andrew Lee, Espen Slettnes
We determine sharp bounds on the price of bandit feedback for several variants of the mistake-bound model. The first part of the paper presents bounds on the $r$-input weak reinforcement model and the $r$-input delayed, ambiguous reinforcement model. In both models, the adversary gives $r$ inputs in each round and only indicates a correct answer if all $r$ guesses are correct. The only difference between the two models is that in the delayed, ambiguous model, the learner must answer each input before receiving the next input of the round, while the learner receives all $r$ inputs at once in the weak reinforcement model. In the second part of the paper, we introduce models for online learning with permutation patterns, in which a learner attempts to learn a permutation from a set of permutations by guessing statistics related to sub-permutations. For these permutation models, we prove sharp bounds on the price of bandit feedback.
对于错误边界模型的几种变体,我们确定了强盗反馈价格的明显界限。本文第一部分给出了r$输入弱强化模型和r$输入延迟模糊强化模型的边界。在这两种模型中,对手在每轮中提供$r$输入,并且只有在所有$r$猜测都正确的情况下才指出正确答案。这两个模型之间的唯一区别是,在延迟的、模糊的模型中,学习者必须在接收下一轮输入之前回答每个输入,而在弱强化模型中,学习者一次接收所有$r$输入。在论文的第二部分,我们介绍了具有排列模式的在线学习模型,其中学习者试图通过猜测与子排列相关的统计量从一组排列中学习一个排列。对于这些排列模型,我们证明了强盗反馈价格的明显界限。
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引用次数: 0
On the recognition of search trees generated by BFS and DFS 基于BFS和DFS的搜索树识别研究
Pub Date : 2022-09-01 DOI: 10.1016/j.tcs.2022.09.018
R. Scheffler
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引用次数: 3
Colored Cut Games 彩色切割游戏
Pub Date : 2022-09-01 DOI: 10.4230/LIPIcs.FSTTCS.2020.30
Nils Morawietz, Niels Grüttemeier, Christian Komusiewicz, Frank Sommer
In a graph G = (V,E) with an edge coloring ` : E → C and two distinguished vertices s and t, a colored (s, t)-cut is a set C̃ ⊆ C such that deleting all edges with some color c ∈ C̃ from G disconnects s and t. Motivated by applications in the design of robust networks, we introduce a family of problems called colored cut games. In these games, an attacker and a defender choose colors to delete and to protect, respectively, in an alternating fashion. It is the goal of the attacker to achieve a colored (s, t)-cut and the goal of the defender to prevent this. First, we show that for an unbounded number of alternations, colored cut games are PSPACE-complete. We then show that, even on subcubic graphs, colored cut games with a constant number i of alternations are complete for classes in the polynomial hierarchy whose level depends on i. To complete the dichotomy, we show that all colored cut games are polynomial-time solvable on graphs with degree at most two. Finally, we show that all colored cut games admit a polynomial kernel for the parameter k + κr where k denotes the total attacker budget and, for any constant r, κr is the number of vertex deletions that are necessary to transform G into a graph where the longest path has length at most r. In the case of r = 1, κ1 is the vertex cover number vc of the input graph and we obtain a kernel with O(vc2k2) edges. Moreover, we introduce an algorithm solving the most basic colored cut game, Colored (s, t)-Cut, in 2vc+knO(1) time. 2012 ACM Subject Classification Theory of computation → Parameterized complexity and exact algorithms; Theory of computation → Graph algorithms analysis; Theory of computation → Problems, reductions and completeness
在边着色为':E→C,有两个可区分的顶点s和t的图G = (V,E)中,有色(s, t)切是一个集C≥≥C,使得从G中删除所有具有某种颜色C∈C≥的边使s和t断开。基于鲁棒网络设计中的应用,我们引入了一类问题,称为有色切博弈。在这些游戏中,攻击者和防御者分别以交替的方式选择要删除和保护的颜色。攻击者的目标是实现彩色(s, t)切割,而防御者的目标是防止这种情况发生。首先,我们证明了对于无限次的替换,彩色切割游戏是pspace完备的。然后我们证明,即使在次三次图上,对于其级别依赖于i的多项式层次中的类,具有常数i次交替的彩色切游戏是完全的。为了完成二分类,我们证明所有彩色切游戏在最多为2次的图上都是多项式时间可解的。最后,我们表明,所有彩色降低游戏承认一个多项式内核参数k +κr k表示攻击者预算总额,对于任何常数r, r是κ顶点删除所必需的数量将G转换为图的最长路径长度最多。在r = 1,κ1输入图的顶点覆盖数量vc和我们获得一个内核与O (vc2k2)边缘。此外,我们还介绍了一种算法,在2vc+knO(1)时间内解决最基本的彩色切游戏colored (s, t)-Cut。2012 ACM学科分类计算理论→参数化复杂度与精确算法;计算理论→图算法分析;计算理论→问题、约简和完备性
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引用次数: 2
Efficient computation of tolerances in the sensitivity analysis of combinatorial bottleneck problems 组合瓶颈问题敏感性分析中公差的高效计算
Pub Date : 2022-09-01 DOI: 10.1016/j.tcs.2022.09.026
Marcel Turkensteen, G. Jäger
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引用次数: 0
On the 2-abelian complexity of generalized Cantor sequences 广义康托序列的2-阿贝尔复杂度
Pub Date : 2022-09-01 DOI: 10.1016/j.tcs.2022.09.025
Xiaotao Lü, Jin Chen, Zhi-Xiong Wen
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引用次数: 0
Streaming algorithms for monotone non-submodular function maximization under a knapsack constraint on the integer lattice 整数格上背包约束下单调非次模函数最大化的流算法
Pub Date : 2022-09-01 DOI: 10.1016/j.tcs.2022.09.028
Jing-jing Tan, Fengmin Wang, Weina Ye, Xiaoqing Zhang, Yang Zhou
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引用次数: 0
MUL-tree pruning for consistency and optimal reconciliation - complexity and algorithms 多树剪枝的一致性和最优和解-复杂性和算法
Pub Date : 2022-09-01 DOI: 10.1016/j.tcs.2022.09.027
Mathieu Gascon, R. Dondi, N. El-Mabrouk
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引用次数: 1
On invertible and stably reversible non-uniform cellular automata 可逆与稳定可逆非均匀元胞自动机
Pub Date : 2022-09-01 DOI: 10.2139/ssrn.4106365
Xuan Kien Phung
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引用次数: 4
Loosely-Stabilizing Maximal Independent Set Algorithms with Unreliable Communications 具有不可靠通信的松弛稳定极大独立集算法
Pub Date : 2022-09-01 DOI: 10.1007/978-3-030-91081-5_22
Rongcheng Dong, Y. Sudo, Taisuke Izumi, T. Masuzawa
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引用次数: 1
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