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Abstract. We study the space complexity of sliding window streaming algorithms that check membership of the window content in a fixed context-free language.
Aug 27, 2018 · We study the space complexity of sliding window streaming algorithms that check membership of the window content in a fixed context-free ...
Sep 29, 2022 · Low-latency sliding window algorithms for regular and context-free languages are studied, where latency refers to the worst-case time spent for ...
Abstract. We study the space complexity of querying regular languages over data streams in the sliding window model. The algorithm has to answer at any ...
Abstract. In a recent paper we analyzed the space complexity of streaming algorithms whose goal is to decide membership of a sliding window to a fixed ...
Low-latency sliding window algorithms for regular and context-free languages are studied, where latency refers to the worst-case time spent for a single ...
The space complexity of querying regular languages over data streams in the sliding window model is studied to show that for every regular language the ...
Abstract. Low-latency sliding window algorithms for regular and context-free languages are studied, where latency refers to the worst-case time spent for a ...
The sliding window approach enhances efficiency in passage retrieval by focusing on smaller segments of text at a time rather than analyzing the entire dataset.
Aug 12, 2024 · The sliding window algorithm is a natural language processing technique in computer science and algorithms.