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Andreas Griewank and Andrea Walther
For piecewise linear functions ??:R???R
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we show how their abs-linear representation can be extended to yield simultaneously their decomposition into a convex ???
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, including a pair of generalized gradients ???...
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Jiangyi Liu, Chunping Wang, Wei Wang and Zheng Li
Most multi-target tracking filters assume that one target and its observation follow a Hidden Markov Chain (HMC) model, but the implicit independence assumption of the HMC model is invalid in many practical applications, and a Pairwise Markov Chain (PMC)...
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Chunyang Liu, Jiping Liu, Jian Wang, Shenghua Xu, Houzeng Han and Yang Chen
Point-of-interest (POI) recommendation is one of the fundamental tasks for location-based social networks (LBSNs). Some existing methods are mostly based on collaborative filtering (CF), Markov chain (MC) and recurrent neural network (RNN). However, it i...
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Marcos de Araújo Rodovalho, Freddy Mora, Elisangela Mendes dos Santos, Carlos Alberto Scapim, Emmanuel Arnhold
Pág. 303 - 309
During the genetic evaluation of 169 half-sib families of white grain popcorn (Zea mays), at the beginning of a breeding program conducted in southern Brazil (Cycle I), significant differences in family survival were detected (p ...
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Freddy Mora, Osmério Pupim-Junio, Carlos Alberto Scapim
Pág. 7 - 16
F. Mora, O. Pupim-Junior, and C.A. Scapim. 2007. Prediction of cultivar effects on cottonyield in the presence of genotype-environment interaction. Cien. Inv. Agr. 34(1):13-21. Weaimed to obtain, by the Best Linear Unbiased Predictor (BLUP), a prediction...
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Freddy Mora, Emmanuel Arnhold
Pág. 185 - 190
This study examines genetic breeding values and variance components of popping expansion and grain production by means of Bayesian inference and a mixed linear model approach in 96 S3 maize families. Best Linear Unbiased Predictors (BLUP) of family effec...
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