Results 211 to 220 of about 4,387 (252)

Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks. [PDF]

Sci Rep
Niranjani V, Haldorai A.
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Quantum Speedups for Multiproposal MCMC. [PDF]

Bayesian Anal
Lin CY, Chen KC, Lemey P, Suchard MA, Holbrook AJ, Hsieh MH.   +5 more
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Light-PTNet: A lightweight parallel temporal network for smartphone-based human motion classification. [PDF]

PLoS One
Raja Sekaran S, Ying Han P, Shih Yin O, Wang LYK, Zheng You L.   +4 more
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Integrating gene expression data via weighted multiple kernel ridge regression improved accuracy of genomic prediction. [PDF]

Genet Sel Evol
Wang X, Si J, Wang Y, Fang L, Zhang Z, Zhang Y.   +5 more
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Markov kernels and tribes

Information Sciences, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On contraction properties of Markov kernels

Probability Theory and Related Fields, 2003
The authors study general properties of contractions of Markov kernels without assumptions on the existence of an invariant probability measure. In their previous paper [in: Séminaire de Probabilités XXXIV. Lect. Notes Math. 1729, 1-145 (2000; Zbl 0963.60040)] they have shown that the system is forgetting its initialization without nevertheless ...
Del Moral, P., Ledoux, M., Miclo, L.
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Weak Convergence of Markov Kernels

2015
As indicated in the previous chapter, stable convergence of random variables can be seen as suitable convergence of Markov kernels given by conditional distributions. The required facts from the theory of weak convergence of Markov kernels will be presented in this chapter.
Erich Häusler, Harald Luschgy
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