Sentence examples for joint graph from inspiring English sources
The framework we choose is to design multiuser LDPC codes with joint belief propagation decoding on the joint graph of the 2-user case.
Following the above analysis, we put forward a novel method of joint graph embedding and sparse regression with structure low-rank representation, named GESR-LR, presented in the next sections in this paper.
Joint graphs of the estimated and the reference glucose level for each one of the parameters and for each one of the subjects were created.
The rest of this section is devoted to EXIT analysis of BP decoding on the joint factor graph and the iterative computation of I v → p ( k ) ( l ).
One of the key issues addressed here is the mutual information computation (as required for EXIT analysis) for messages passed from factor nodes in the joint factor graph of the two LDPC codes, referred to as source channel factor (SCF) nodes, which represent the joint probabilities of the two sources and the output conditional probability density function (pdf) of the GMAC.
The joint-distribution graphs illustrate how many occurrences were found for each combination of expert and algorithm counts per minute.
The structure is represented as a component-connector or joint multi-level graph with both hierarchical functional and assembly relations.
First a joint transition probability graph P, shown in Eq. (2) which was adapted from [57], is constructed using intra-relationships and inter-relationships for all the co-occurrence, labeled, and unlabeled instances across both domains.
The proposed method uses this random walk during the learning process on the joint transition probability graph to propagate the ranking score of labeled instances as to calculate the importance of a set of labels to an unlabeled instance.
Their algorithm, GenomeMapper, combines the genomes into a joint hash-based graph data structure.
Alternatively, MCMC could be used over the discrete space of reaction graphs (Ellis and Wong, 2008) or the joint space of graphs and parameters (Oates et al., 2012).
