Results 271 to 280 of about 2,759,833 (308)

Composition of Feature Selection for Time-Series Prediction with Deep Learning

Farheen, Rajeev Kumar
openalex   +1 more source

Exploring a panel of serum biomarkers for cancer risk in patients with non-specific symptoms: a comparative analysis of feature selection methods. [PDF]

BMJ Open
Monroy-Iglesias MJ, Santaolalla A, Martin S, North B, Moss C, Haire K, Jones G, Steward L, Cargaleiro C, Bruno F, Millwaters J, Basyal C, Weild S, Russell B, Van Hemelrijck M, Dolly S.   +15 more
europepmc   +1 more source

Optimized fall detection using hybrid BiLSTM BiGRU additive attention model and BAOA driven feature selection system. [PDF]

Sci Rep
Ahirwar MS, Soni V.
europepmc   +1 more source

Emerging applications of feature selection in osteoporosis research: from biomarker discovery to clinical decision support. [PDF]

J Bone Miner Res
Wang J, Wang Y, Ren J, Li Z, Guo L, Lv J.   +5 more
europepmc   +1 more source

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Learning With Selected Features

IEEE Transactions on Cybernetics, 2022
The coming big data era brings data of unprecedented size and launches an innovation of learning algorithms in statistical and machine-learning communities. The classical kernel-based regularized least-squares (RLS) algorithm is excluded in the innovation, due to its computational and storage bottlenecks.
Shao-Bo Lin, Jian Fang, Xiangyu Chang
openaire   +2 more sources