نتایج جستجو برای: she stoops to conquer
تعداد نتایج: 10618964 فیلتر نتایج به سال:
The paper proposes a new technique to mitigate the state of explosion in model checking. is called divide and conquer approach eventual As indicated by name, dedicated properties. divides an original checking problem into multiple smaller problems tackles each one. We prove theorem that are equivalent problem. conducted case study demonstrates power proposed technique.
We present a divide-and-conquer algorithm for parsing context-free languages efficiently. Our algorithm is an instance of Valiant’s (1975), who reduced the problem of parsing to matrix multiplications. We show that, while the conquer step of Valiant’s is O(n), it improves to O(log n) under certain conditions satisfied by many useful inputs, and if one uses a sparse representation of matrices. T...
testing plays a vital role in any language teaching program. it allows teachers and stakeholders, including program administrators, parents, admissions officers and prospective employers to be assured that the learners are progressing according to an accepted standard (douglas, 2010). the problems currently facing language testers have both practical and theoretical implications but the first i...
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to inducing classification rules, one is the divide and conquer approach, also known as the top down induction of decision trees; the other approach is called the separate and conquer approach. A considerable amount of work ...
Recent work introduced the cube-and-conquer technique to solve hard SAT instances. It partitions the search space into cubes using a lookahead solver. Each cube is tackled by a conflict-driven clause learning (CDCL) solver. Crucial for strong performance is the cutoff heuristic that decides when to switch from lookahead to CDCL. Yet, this offline heuristic is far from ideal. In this paper, we p...
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