Results 31 to 40 of about 1,424,485 (296)
Combined Deep Learning With Directed Acyclic Graph SVM for Local Adjustment of Age Estimation
In order to further improve the accuracy of age estimation, a locally adjusted age estimation algorithm based on deep learning and directed acyclic graph SVM is proposed.
Cui Xiao +3 more
doaj +1 more source
The Covering Threshold of a Directed Acyclic Graph by Directed Acyclic Subgraphs
Let $H$ be a directed acyclic graph (dag) that is not a rooted star. It is known that there are constants $c=c(H)$ and $C=C(H)$ such that the following holds for $D_n$, the complete directed graph on $n$ vertices. There is a set of at most $C\log n$ directed acyclic subgraphs of $D_n$ that covers every $H$-copy of $D_n$, while every set of at most $c ...
openaire +2 more sources
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
doaj +1 more source
Attractors of directed graph IFSs that are not standard IFS attractors and their Hausdorff measure [PDF]
"GCB was supported by an EPSRC Doctoral Training Grant whilst undertaking this work"For directed graph iterated function systems (IFSs) defined on R, we prove that a class of 2-vertex directed graph IFSs have attractors that cannot be the attractors of ...
Boore, Graeme, Falconer, Kenneth John
core +1 more source
Directed acyclic graph: Illustrating associations between variables.
Directed acyclic graph: Illustrating associations between variables.
Rajesh Kumar Rai (12152600) +5 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
IOTA is a new cryptocurrency system designed for the Internet of Things based on directed an acyclic graph structure. It has the advantages of supporting high concurrency, scalability, and zero transaction fees; however, due to the particularity of the ...
Yinfeng Chen +3 more
doaj +1 more source

