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Titlebook: Combinatorial Pattern Matching; 17th Annual Symposiu Moshe Lewenstein,Gabriel Valiente Conference proceedings 2006 Springer-Verlag Berlin H

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樓主: Johnson
51#
發(fā)表于 2025-3-30 11:22:08 | 只看該作者
52#
發(fā)表于 2025-3-30 15:13:45 | 只看該作者
Solving the Maximum Agreement SubTree and the Maximum Compatible Tree Problems on Many Bounded Degret lower bound: while MAST can be solved in .(..) time where . denotes the input length, we show that an .(..) bound is not achievable, unless SNP ? SE. We also show that MCT is W[1]-hard with respect to ., and that MCT cannot be solved in . time, unless SNP ? SE.
53#
發(fā)表于 2025-3-30 17:34:15 | 只看該作者
Role of Semantics in Smart City Applicationsv models. We present generalizations of the methods to compute the probability of finding a word of length . shared among . of . sequences, and to allow mismatches. We show through simulations that our approximations are significantly more accurate than methods previously published.
54#
發(fā)表于 2025-3-30 23:30:06 | 只看該作者
Cyber-Physical-Social Systems: An Overviewhe maximum number of copies of the gene in a species. In this paper, we propose an improved algorithm with time complexity of .(.) for solving this problem. We also show, that the problem can be solved in .(.) if unit costs are considered for both loss and duplication.
55#
發(fā)表于 2025-3-31 04:00:59 | 只看該作者
Asynchronous Pattern Matchingpossibility of errors in the data .. We present motivation from text editing, computational biology, and computer architecture, that points to a new paradigm – where the errors occur in the .. It turns out that there are differences in techniques, complexities, and tools between the two different mo
56#
發(fā)表于 2025-3-31 05:53:40 | 只看該作者
SNP and Haplotype Analysis – Algorithms and Applications costs open new directions and opportunities in the study of complex genetic disease such as cancer or Alzheimer’s disease. The datasets collected for these studies are DNA sequences, with some noise and ambiguous information..In this talk I will discuss some of the algorithmic issues of disambiguat
57#
發(fā)表于 2025-3-31 09:12:56 | 只看該作者
Identifying Co-referential Names Across Large Corporaence sets in a large corpus. Our algorithm involves three steps: morphological similarity detection, contextual similarity analysis, and clustering. Finally, we present experimental results on over large corpus of real news text to analyze the performance our techniques.
58#
發(fā)表于 2025-3-31 13:24:37 | 只看該作者
Adaptive Searching in Succinctly Encoded Binary Relations and Tree-Structured Documentserted lists stored in sorted arrays and use variants of binary search. We show that a succinct representation of the binary relation permits much better results, while using space within a lower order term of the optimal. We apply our results not only to conjunctive queries on binary relations, but
59#
發(fā)表于 2025-3-31 18:16:36 | 只看該作者
60#
發(fā)表于 2025-3-31 23:14:10 | 只看該作者
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