The Experts below are selected from a list of 92607 Experts worldwide ranked by ideXlab platform
David Carmel - One of the best experts on this subject based on the ideXlab platform.
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static index Pruning for information retrieval systems
International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001Co-Authors: David Carmel, Doron Cohen, Ronald Fagin, Eitan Farchi, Michael Herscovici, Yoelle Maarek, Aya SofferAbstract:We introduce static index Pruning methods that significantly reduce the index size in information retrieval systems.We investigate uniform and term-based methods that each remove selected entries from the index and yet have only a minor effect on retrieval results. In uniform Pruning, there is a fixed cutoff threshold, and all index entries whose contribution to relevance scores is bounded above by a given threshold are removed from the index. In term-based Pruning, the cutoff threshold is determined for each term, and thus may vary from term to term. We give experimental evidence that for each level of compression, term-based Pruning outperforms uniform Pruning, under various measures of precision. We present theoretical and experimental evidence that under our term-based Pruning scheme, it is possible to prune the index greatly and still get retrieval results that are almost as good as those based on the full index.
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Pruning algorithms for multi-model adversary search
Artificial Intelligence, 1998Co-Authors: David Carmel, Shaul MarkovitchAbstract:Abstract The multi-model search framework generalizes minimax to allow exploitation of recursive opponent models. In this work we consider adding Pruning to the multi-model search. We prove a sufficient condition that enables Pruning and describe two Pruning algorithms, αβ ∗ and αβ 1p ∗ . We prove correctness and optimality of the algorithms and provide an experimental study of their Pruning power. We show that for opponent models that are not radically different from the player's strategy, the Pruning power of these algorithms is significant.
Aya Soffer - One of the best experts on this subject based on the ideXlab platform.
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static index Pruning for information retrieval systems
International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001Co-Authors: David Carmel, Doron Cohen, Ronald Fagin, Eitan Farchi, Michael Herscovici, Yoelle Maarek, Aya SofferAbstract:We introduce static index Pruning methods that significantly reduce the index size in information retrieval systems.We investigate uniform and term-based methods that each remove selected entries from the index and yet have only a minor effect on retrieval results. In uniform Pruning, there is a fixed cutoff threshold, and all index entries whose contribution to relevance scores is bounded above by a given threshold are removed from the index. In term-based Pruning, the cutoff threshold is determined for each term, and thus may vary from term to term. We give experimental evidence that for each level of compression, term-based Pruning outperforms uniform Pruning, under various measures of precision. We present theoretical and experimental evidence that under our term-based Pruning scheme, it is possible to prune the index greatly and still get retrieval results that are almost as good as those based on the full index.
H. Wang - One of the best experts on this subject based on the ideXlab platform.
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Effects of root Pruning on the vegetative growth and fruit quality of Zhanhuadongzao trees.
Horticultural Science, 2018Co-Authors: S. Yang, S. Xing, C. Liu, H. WangAbstract:S. Yang, S. Xing, C. Liu, Z. Du, H. Wang, Y. Xu, 2010. Effects of root Pruning on the vegetative growth and fruit quality of Zhanhuadongzao trees. Hort. Sci. (Prague), 37: 14–21. The effects of root Pruning on the vegetative growth and fruit quality of six-year-old Zhanhuadongzao (Ziziphus jujuba Mill.) trees were evaluated. Three root Pruning treatments (severe, moderate and light degree) were conducted at the distance of 3, 5 and 7 times trunk diameter from trunk on both inter-row sides of the trees, respectively. The results showed that the severe root Pruning decreased the length of primary branch by 27.9% and the number of primary branches by 12.1% in contrast to the control of no root Pruning. Compared to the control, both severe and moderate root Pruning had no apparent effects on nitrogen, phosphorus and potassium contents of leaves after 35 days, but had significant effects after 161 days. Severe root Pruning had larger effectiveness of controlling vegetative growth than the moderate one. By root Pruning, the contents of vitamin C and total sugar were increased but the content of cypermethrin was decreased in fruits and no effects were found on total acid content of fruit and yield at harvest. In the rhizosphere soil, root Pruning decreased the microbial populations and enzymes activities but increased the concentrations of cypermethrin, available nitrogen, phosphorus and potassium. It is proposed that the removal of root at 3 times trunk diameter distance from trunk was feasible to regulate the vegetative growth and fruit quality of Zhanhuadongzao tree.
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Effects of root Pruning on the vegetative growth and fruit quality of Zhanhuadongzao trees
Horticultural Science, 2010Co-Authors: S. Yang, S. Xing, C. Liu, H. WangAbstract:The effects of root Pruning on the vegetative growth and fruit quality of six-year-old Zhanhuadongzao (<I>Ziziphus jujube</I> Mill.) trees were evaluated. Three root Pruning treatments (severe, moderate and light degree) were conducted at the distance of 3, 5 and 7 times trunk diameter from trunk on both inter-row sides of the trees, respectively. The results showed that the severe root Pruning decreased the length of primary branch by 27.9% and the number of primary branches by 12.1% in contrast to the control of no root Pruning. Compared to the control, both severe and moderate root Pruning had no apparent effects on nitrogen, phosphorus and potassium contents of leaves after 35 days, but had significant effects after 161 days. Severe root Pruning had larger effectiveness of controlling vegetative growth than the moderate one. By root Pruning, the contents of vitamin C and total sugar were increased but the content of cypermethrin was decreased in fruits and no effects were found on total acid content of fruit and yield at harvest. In the rhizosphere soil, root Pruning decreased the microbial populations and enzymes activities but increased the concentrations of cypermethrin, available nitrogen, phosphorus and potassium. It is proposed that the removal of root at 3 times trunk diameter distance from trunk was feasible to regulate the vegetative growth and fruit quality of Zhanhuadongzao tree.
Doron Cohen - One of the best experts on this subject based on the ideXlab platform.
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static index Pruning for information retrieval systems
International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001Co-Authors: David Carmel, Doron Cohen, Ronald Fagin, Eitan Farchi, Michael Herscovici, Yoelle Maarek, Aya SofferAbstract:We introduce static index Pruning methods that significantly reduce the index size in information retrieval systems.We investigate uniform and term-based methods that each remove selected entries from the index and yet have only a minor effect on retrieval results. In uniform Pruning, there is a fixed cutoff threshold, and all index entries whose contribution to relevance scores is bounded above by a given threshold are removed from the index. In term-based Pruning, the cutoff threshold is determined for each term, and thus may vary from term to term. We give experimental evidence that for each level of compression, term-based Pruning outperforms uniform Pruning, under various measures of precision. We present theoretical and experimental evidence that under our term-based Pruning scheme, it is possible to prune the index greatly and still get retrieval results that are almost as good as those based on the full index.
Ronald Fagin - One of the best experts on this subject based on the ideXlab platform.
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static index Pruning for information retrieval systems
International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001Co-Authors: David Carmel, Doron Cohen, Ronald Fagin, Eitan Farchi, Michael Herscovici, Yoelle Maarek, Aya SofferAbstract:We introduce static index Pruning methods that significantly reduce the index size in information retrieval systems.We investigate uniform and term-based methods that each remove selected entries from the index and yet have only a minor effect on retrieval results. In uniform Pruning, there is a fixed cutoff threshold, and all index entries whose contribution to relevance scores is bounded above by a given threshold are removed from the index. In term-based Pruning, the cutoff threshold is determined for each term, and thus may vary from term to term. We give experimental evidence that for each level of compression, term-based Pruning outperforms uniform Pruning, under various measures of precision. We present theoretical and experimental evidence that under our term-based Pruning scheme, it is possible to prune the index greatly and still get retrieval results that are almost as good as those based on the full index.