Results 211 to 220 of about 27,097 (268)

Mixture of Mesh Experts With Random Walk Transformer Gating

Computer Graphics Forum, EarlyView.
Abstract In recent years, various methods have been proposed for mesh analysis, each offering distinct advantages and often excelling on different object classes. We present a novel Mixture of Experts (MoE) framework designed to harness the complementary strengths of these diverse approaches.
Amir Belder, Ayellet Tal
wiley   +1 more source

Study on the Evaluation Method of Collaborative Dust Prevention Effect with Coal Miners-Based on Feature Reduction, Genetic Algorithm, and Backpropagation. [PDF]

Saf Health Work
Shi S, Zheng H, Li H, Wang X.
europepmc   +1 more source

Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning. [PDF]

Sci Rep
Asnaashari S, Yousefi S, Nikolova MP.
europepmc   +1 more source

A Multi-Branch Training Strategy for Enhancing Neighborhood Signals in GNNs for Community Detection. [PDF]

Entropy (Basel)
Guo Y, Wu Q, Lü L.
europepmc   +1 more source

Influencing factors for childbirth readiness among pregnant women based on the reciprocal determinism theory and backpropagation neural network: a cross-sectional study in China. [PDF]

BMC Pregnancy Childbirth
Mengmei Y, Meizhen Z, Tieying Z, Meiliyang W, Ke Z.   +4 more
europepmc   +1 more source

Predicting poor wrist function recovery after internal fixation of distal radius fractures: A retrospective study based on multivariate analysis and machine learning models. [PDF]

Medicine (Baltimore)
Deng LP, Li J, Ma T, Deng Y.
europepmc   +1 more source

Machine learning-driven prediction of healthcare resource trends and optimal allocation strategies: a data-driven approach. [PDF]

BMC Health Serv Res
Zhao M, Pan S, Song Y.
europepmc   +1 more source

Spike-based alignment learning solves the weight transport problem. [PDF]

Nat Commun
Gierlich T, Baumbach A, Kungl AF, Max K, Petrovici MA.   +4 more
europepmc   +1 more source

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Bidirectional Backpropagation

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
We extend backpropagation (BP) learning from ordinary unidirectional training to bidirectional training of deep multilayer neural networks. This gives a form of backward chaining or inverse inference from an observed network output to a candidate input that produced the output.
Olaoluwa Adigun, Bart Kosko
openaire   +1 more source