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In this paper we propose a novel approach called QueBN-design (Querying Bayesian network design) derived by coupling conditional probabilistic inference in Bayesian network models and evolutionary principles.
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This paper proposes a human action recognition method via coupled hidden conditional random fields model by fusing both RGB and depth sequential information.
The coupled hidden conditional random fields model extends the standard hidden-state conditional random fields model only with one chain-structure sequential observation to multiple chain-structure sequential observations, which are synchronized sequence data captured in multiple modalities.
There stochastic amplitude and phase equations for two coupled canonical conditional oscillators were derived in a subthreshold parameter regime and under the influence of distinct intrinsic noises and a common external stochastic drive.
The data were analyzed using a time-stratified case-crossover design coupled with conditional logistic regression [ 34].
We examined such conditional coupling using psychophysiological interaction analysis [24], investigating whether the activity in the parietal cortex receives stronger contextual influences from the fusiform gyrus under the SD task compared to those under the SF task.
These rules allow the semantic annotation of geospatial data and, coupled with the conditional planning method, this approach represents more precisely the situations of nonconformities with geodata quality that may occur during the execution of the Web Service composition.
We present a strategy that couples Cre/loxP-mediated conditional gene disruption with faithful GFP reporter expression in mice in which Cre-mediated stable inversion of a splice acceptor-GFP-splice donor cassette concurrently disrupts protein production and creates a GFP fusion product.
Numerical examples indicate that the conditional junction coupling has much larger influence on the frequencies of a liquid-filled pipe system than the Poisson coupling does.
To survey clients with stored frozen embryos regarding intention to donate embryos to other couples and attitudes toward conditional donation.
To resolve haplotypes for a human genome, which has a low density of variants, we coupled HaploSeq with local conditional phasing to obtain haplotypes for ∼81% of alleles with ∼98% accuracy from just 17× sequencing.
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