depth-first tree search
Title: Comparative Analysis of Various Uninformed Searching Algorithms in AI
... Breadth First Search (BFS) all the vertices are explored or traversed level by ...it first expands all the nodes at first level in the search tree, then expands all the nodes of ...
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Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data
... ranked search scheme over encrypted data, which additionally supports dynamic update operations like deletion and insertion of ...index tree based on vector space model to provide multi-keyword ...
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Automation Of Independent Path Searching using Depth First Search
... Many studies have been done to solve testing problems. The Artificial Bee Colony algorithm was used to determine the independent path and to solve local the optima problem[6]. The data that used only one(triangle ...
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A Survey on Test Case Generation from UML Model
... Table 2 maintains the details information of each node and edge of the intermediate format, as well as the relation ship of each node in the intermediate format with the original activity. An algorithm is applied on the ...
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Canonical Polygon Queries on the Plane: A New Approach
... Paterson/Yao first sort the n points according to their polar angles at the origin and then store the ordered sequence in a leaf-oriented bal- anced binary search tree of depth O (log n ) ...
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Parallelization of enumerating tree-like chemical compounds by breadth-first search order
... given depth d of a family tree into several subsets, and each subset is assigned to one ...to depth d of a family tree can be ...family tree often varies a ...
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A Survey on Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data
... secure search schemes: the basic dynamic multi-keyword ranked search (BDMRS) scheme in the known ciphertext model, and the enhanced dynamic multi-keyword ranked search (EDMRS) scheme in the known ...
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Secure Search Scheme over Encrypted Cloud Data Using Greedy Depth First Search Algorithm
... unique tree-based index structure and propose a "Greedy Depth-first Search" calculation to give productive multi-catchphrase ranked ...exceptional tree-based index structure, ...
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AutoChef: Automated Generation of Cooking. Recipe
... the tree using depth-first search and insert the node- text into predefined sentence ...the tree in Figure 5 is shown in Table ...
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A Rule Chaining Architecture Using a Correlation Matrix Memory
... The graphs in Fig. 3 are contour plots showing the recall error rates for the ARCA architecture for a given depth of search tree and memory requirement. They clearly demonstrate that the ARCA system ...
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Enumerating transformation semigroups
... the search tree is cut when the search encounters a subsemigroup already known, simply by making no further ...a depth-first search, and if it is a queue, then a ...
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Source side Preordering for Translation using Logistic Regression and Depth first Branch and Bound Search
... parse tree should be swapped or ...cient depth-first branch-and-bound search through the space of possible children per- mutations, avoiding using a cascade of classifiers or limiting the list ...
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Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game
... decision tree, which can be tra- versed through with various types of ...algorithms. Depth-first search (DFS) and breadth-first search (BFS) are two rudi- mentary approaches to ...
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Multikeyword Ranked Search Scheme Using Greedy Depth First Algorithm on Encrypted Cloud Data
... the search efficiency of the scheme is linear with the cardinality of document ...multi-keyword search scheme that supports similarity-based ...index tree based on vector space model and adopted ...
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A Depth-First Search Approach for Mining Proportional Fault-Tolerant Frequent Patterns Efficiently in Large Database
... the tree, and modify the links to build a queue of the collection of transactions containing the same prefix before the pattern support is ...or tree-based, to represent projected transaction subsets, and ...
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Interactive Visualization and Manipulation of Attention based Neural Machine Translation
... beam search. In search tree visualization (Figure 7) or attention manipulation dialog (Figure 9), a user can click one of output candidate (green node) then the sys- tem computes its next outputs and ...
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A Review on Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data
... We define and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing (MRSE). We establish a set of strict privacy requirements for such a secure ...
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Binary Search Trees. Definition Of Binary Search Tree. The Operation ascend() Example Binary Search Tree
... add(index, element), and remove(index) run in O(log(list size)) time (uses an indexed binary tree, not indexed binary search tree). Can’t use hash tables for either of these applicati[r] ...
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DISTRIBUTED NEAREST NEIGHBOR MATCHING ALGORITHM FOR COMPUTER VISION
... In randomized kd-tree experiment, 100 SIFT features dataset is used. It is showed that the randomized kd-trees have a significantly better performance for true matches, when query features are likely to be ...
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AINN ICT4101 FS
... • E.g., sort moves by the remembered move values found last time. • E.g., expand captures first, then threats, then forward moves, etc. • E.g., run Iterative Deepening search, sort by value last iteration. ...
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