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Titlebook: Combinatorial Pattern Matching; 13th Annual Symposiu Alberto Apostolico,Masayuki Takeda Conference proceedings 2002 Springer-Verlag Berlin

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11#
發(fā)表于 2025-3-23 13:21:27 | 只看該作者
Jose Garcia,Ekaterina Prasolova-F?rlandtrate on gapped .-grams with just one gap. We demostrate with experiments that the resulting filters provide a significant improvement over the contiguous .-gram filters. We also develop new techniques for dealing with complex .-gram filters.
12#
發(fā)表于 2025-3-23 15:42:53 | 只看該作者
Haya Shamir,Erik Yoder,David Pocklingtonre fast on average. This is the first paper on the subject, previously only “occurrence heuristics” have been considered. Our heuristics are much stronger and refer to larger parts of texts (not only to single positions).
13#
發(fā)表于 2025-3-23 20:30:00 | 只看該作者
Haya Shamir,Erik Yoder,David Pocklingtonn model topology (compared to previously proposed algorithms with .(. . . .) time [.]). Our techniques can be incorporated into current software tools based on HMMs..To validate our approach, we demonstrate that many length distributions in gene finding can be accurately modeled with geometric-tail length distribution, keeping parameter . small.
14#
發(fā)表于 2025-3-23 23:45:27 | 只看該作者
https://doi.org/10.1007/978-981-99-2993-1ossibility of a later match. The result is an algorithm that performs better than the original version of Navarro and Raffinot and that is the fastest for several combinations of . and alphabet sizes that are useful, for example, in natural language searching and computational biology.
15#
發(fā)表于 2025-3-24 02:47:13 | 只看該作者
,Three Heuristics for δ-Matching: δ-BM Algorithms,re fast on average. This is the first paper on the subject, previously only “occurrence heuristics” have been considered. Our heuristics are much stronger and refer to larger parts of texts (not only to single positions).
16#
發(fā)表于 2025-3-24 10:26:32 | 只看該作者
A Better Method for Length Distribution Modeling in HMMs and Its Application to Gene Finding,n model topology (compared to previously proposed algorithms with .(. . . .) time [.]). Our techniques can be incorporated into current software tools based on HMMs..To validate our approach, we demonstrate that many length distributions in gene finding can be accurately modeled with geometric-tail length distribution, keeping parameter . small.
17#
發(fā)表于 2025-3-24 14:23:34 | 只看該作者
Faster Bit-Parallel Approximate String Matching,ossibility of a later match. The result is an algorithm that performs better than the original version of Navarro and Raffinot and that is the fastest for several combinations of . and alphabet sizes that are useful, for example, in natural language searching and computational biology.
18#
發(fā)表于 2025-3-24 17:47:17 | 只看該作者
19#
發(fā)表于 2025-3-24 22:23:33 | 只看該作者
20#
發(fā)表于 2025-3-25 01:27:33 | 只看該作者
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