Results 291 to 300 of about 12,143,613 (336)
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Progressive Neural Architecture Search
European Conference on Computer Vision, 2017We propose a new method for learning the structure of convolutional neural networks (CNNs) that is more efficient than recent state-of-the-art methods based on reinforcement learning and evolutionary algorithms. Our approach uses a sequential model-based
Chenxi Liu +8 more
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International Journal of Foundations of Computer Science, 1993
When searching for an item x in a dictionary, let t be the number of distinct items referenced since the previous reference to x. The move-to-front-list is a widely known dictionary data structure that supports searches on x in O(t) time. We present a new selforganizing data structure, called the Historical Search Tree, which supports the search in O(
Alistair Moffat, Ola Petersson
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When searching for an item x in a dictionary, let t be the number of distinct items referenced since the previous reference to x. The move-to-front-list is a widely known dictionary data structure that supports searches on x in O(t) time. We present a new selforganizing data structure, called the Historical Search Tree, which supports the search in O(
Alistair Moffat, Ola Petersson
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Journal of Information Science, 1985
A set of skills thought to contribute to effectiveness in searching subject indexes is defined. Of these, one group was selected for study, namely skills thought to focus a search. An objective test to measure these skills was administered to 129 students and established to have content validity, and some degree of construct validity.
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A set of skills thought to contribute to effectiveness in searching subject indexes is defined. Of these, one group was selected for study, namely skills thought to focus a search. An objective test to measure these skills was administered to 129 students and established to have content validity, and some degree of construct validity.
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SIAM Journal on Computing, 1985
We investigate the complexity of searching a sorted table of n elements on a synchronous, shared memory parallel computer with p processors. We show that \(\Omega\) (lg n-lg p) steps are required if concurrent accesses to the same memory cell are not allowed, whereas O(lg n/lg p) steps are sufficient if simultaneous reads are allowed.
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We investigate the complexity of searching a sorted table of n elements on a synchronous, shared memory parallel computer with p processors. We show that \(\Omega\) (lg n-lg p) steps are required if concurrent accesses to the same memory cell are not allowed, whereas O(lg n/lg p) steps are sufficient if simultaneous reads are allowed.
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Artificial Intelligence, 1981
Abstract The problem of concept learning, or forming a general description of a class of objects given a set of examples and non-examples, is viewed here as a search problem. Existing programs that generalize from examples are characterized in terms of the classes of search strategies that they employ.
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Abstract The problem of concept learning, or forming a general description of a class of objects given a set of examples and non-examples, is viewed here as a search problem. Existing programs that generalize from examples are characterized in terms of the classes of search strategies that they employ.
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Journal of Economic Behavior & Organization, 1982
Abstract This paper presents the findings of some preliminary ‘laboratory’ investigations into ‘actual’ search behavior. Specifically we looked at situations in which searchers' initial information about the distributions was negligible. It seemed likely that simple ‘rules of thumb’ would be used in such situations.
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Abstract This paper presents the findings of some preliminary ‘laboratory’ investigations into ‘actual’ search behavior. Specifically we looked at situations in which searchers' initial information about the distributions was negligible. It seemed likely that simple ‘rules of thumb’ would be used in such situations.
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External to internal search: Associating searching on search engines with searching on sites
Information Processing & Management, 2015Adan Ortiz-Cordova +2 more
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Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
ACM Computing Surveys, 2022Lingxi Xie, Yuhui Xu, Lanfei Wang
exaly