Results 31 to 40 of about 20,647 (260)
Directed acyclic graph kernels for structural RNA analysis
Background Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel methods including support vector machines, we propose stem kernels as an ...
Mituyama Toutai +3 more
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Directed Acyclic Outerplanar Graphs Have Constant Stack Number [PDF]
The stack number of a directed acyclic graph $G$ is the minimum $k$ for which there is a topological ordering of $G$ and a $k$-coloring of the edges such that no two edges of the same color cross, i.e., have alternating endpoints along the topological ...
Paul Jungeblut +2 more
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Bayesian belief network modelling of household food security in rural South Africa
Background Achieving food security remains a key challenge for public policy throughout the world. As such, understanding the determinants of food insecurity and the causal relationships between them is an important scientific question.
Robert W. Eyre +3 more
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The efficient development of system software and design applications in parallel architecture is a notable challenge considering various aspects, such as load balancing, memory spaces, communication, and synchronization.
Rongteng Wu
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Causal Structure Learning With One-Dimensional Convolutional Neural Networks
Causal structure discovery has an important guiding role in explanatory artificial intelligence. In order to discover causal relationships from observed data and restore causal structure graphs, we propose the Directed Acyclic Graph structure learning ...
Chuanyu Xu, Wei Xu
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Ternary directed acyclic word graphs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Satoru Miyamoto +3 more
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Task scheduling is one of the most important issues in heterogeneous environments when high efficiency is required. Because task scheduling is a Nondeterministic Polynomial (NP)-hard problem, many evolutionary algorithms have been adopted to solve this ...
Negar Dordaie, Nima Jafari Navimipour
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On compact directed acyclic word graphs [PDF]
The Directed Acyclic Word Graph (DAWG) is a space-efficient data structure to treat and analyze repetitions in a text, especially in DNA genomic sequences. Here, we consider the Compact Directed Acyclic Word Graph of a word. We give the first direct algorithm to construct it. It runs in time linear in the length of the string on a fixed alphabet.
Crochemore, Maxime, Vérin, Renaud
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Enhancing the blockchain interoperability through federated learning with directed acyclic graph
The use of federated learning to achieve blockchain interoperability has become a hot topic in research, because it enables data exchange without revealing any private information.
Feng Xia, Li Kaiye, Wu Songze, Xin yan
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Optimizing Iterative Data-Flow Scientific Applications Using Directed Cyclic Graphs
Data-flow programming models have become a popular choice for writing parallel applications as an alternative to traditional work-sharing parallelism. They are better suited to write applications with irregular parallelism that can present load imbalance.
David Alvarez, Vicenc Beltran
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