Results 111 to 120 of about 1,714 (187)

Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction. [PDF]

G3 (Bethesda)
Kusmec A, Negus KL, Yu J.
europepmc   +1 more source

Takens-Based Kernel Transfer Entropy Connectivity Network for Motor Imagery Classification. [PDF]

Sensors (Basel)
Gomez-Rivera A, Álvarez-Meza AM, Cárdenas-Peña D, Orozco-Gutierrez A.   +3 more
europepmc   +1 more source

NONLINEAR GLOBAL FRÉCHET REGRESSION FOR RANDOM OBJECTS VIA WEAK CONDITIONAL EXPECTATION. [PDF]

Ann Stat
Bhattacharjee S, Li B, Xue L.
europepmc   +1 more source

Kernel-FastICA-Based Nonlinear Blind Source Separation for Anti-Jamming Satellite Communications. [PDF]

Sensors (Basel)
Sun X, Li C, Li J, Su Q.
europepmc   +1 more source

Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs. [PDF]

Plant Genome
Brault C, Conley EJ, Green AJ, Glover KD, Cook JP, Gill HS, Read AC, Fiedler JD, Anderson JA.   +8 more
europepmc   +1 more source

Fault diagnosis for pump equipment based on transfer learning: the domain generalization method. [PDF]

Sci Rep
Wang W, Zhao X, Zhang Y, Tan T, Jiang L, Wang C, Zhang L.   +6 more
europepmc   +1 more source

EasyGeSe - a resource for benchmarking genomic prediction methods. [PDF]

BMC Genomics
Quesada-Traver C, Ariza-Suarez D, Studer B, Yates S.   +3 more
europepmc   +1 more source

Application of Bivariate Reproducing Kernel-Based Best Interpolation Method in Electrical Tomography. [PDF]

Sensors (Basel)
Tan Y, Wang J, Yu J, Wu B, Shen J, Guo X.   +5 more
europepmc   +1 more source

ShinyGS-a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations. [PDF]

Front Plant Sci
Yu L, Dai Y, Zhu M, Guo L, Ji Y, Si H, Cheng L, Zhao T, Zan Y.   +8 more
europepmc   +1 more source

Statistical inference for heterogeneous treatment effect with right-censored data from synthesizing randomized clinical trials and real-world data. [PDF]

Biometrics
Mao G, Yang S, Wang X.
europepmc   +1 more source