Results 241 to 250 of about 1,606,312 (290)

Prediction and analysis of anti-aging peptides using data augmentation and machine learning algorithms. [PDF]

BMC Biol
Zhang Z, Chen Y, Wang S, Chen G, Wang M, Pan Y, Li E.   +6 more
europepmc   +1 more source

Postoperative recurrence prediction model for perianal abscess using machine learning algorithms. [PDF]

Front Public Health
Wang D, Zhang C, Li Z, Zheng Z, Chen A, Fang Y, Huangfu S, Zhou C, Liu Q, Jiang B.   +9 more
europepmc   +1 more source

Comparison of manifold learning algorithms for identifying geochemical anomalies associated with copper mineralization. [PDF]

Sci Rep
Min Y, Zhao J, Sui Y, Liu J, Zou S, Zhu H.   +5 more
europepmc   +1 more source

Construction of a Preoperative Prediction Model for TACE Resistance in Primary Hepatocellular Carcinoma Based on Machine Learning Algorithms. [PDF]

J Hepatocell Carcinoma
Jiao H, Zhang Z.
europepmc   +1 more source

Identification of plant-parasitic nematode genera in turfgrass using deep learning algorithms. [PDF]

Sci Rep
Rangarajan V, Shahoveisi F, Waldo BD, Jafari S.   +3 more
europepmc   +1 more source

Integrating differential privacy into federated multi-task learning algorithms in <b>dsMTL</b>. [PDF]

Bioinform Adv
Schefzik R, Cao H, Rajan S, Escribà-Montagut X, González JR, Schwarz E.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Learning to Learn Variational Quantum Algorithm

IEEE Transactions on Neural Networks and Learning Systems, 2023
Variational quantum algorithms (VQAs) use classical computers as the quantum outer loop optimizer and update the circuit parameters to obtain an approximate ground state. In this article, we present a meta-learning variational quantum algorithm (meta-VQA) by recurrent unit, which uses a technique called "meta-learner." Motivated by the hybrid quantum ...
Rui Huang 0010, Xiaoqing Tan, Qingshan Xu 0003   +2 more
openaire   +2 more sources