Deep Learning for Astrophysics, Understanding the Impact of Attention on Variability Induced by Parameter Initialization

Prognostic value of pe- ripheral blood double detection of CK19 and MUC1 mRNA positive cells detected by RT-quantitative PCR in 94 breast cancer patients with a follow up of

Almost all psycho- social work factors displayed significant occupational gradients (Table 1 ), with a higher prevalence of exposure among low-skilled occupational

A series of experiments are designed to verify the anxiolytic effect of ethyl acetate extract and laetispicine in the light/dark test, elevated plus maze test and

• A sparse scattering network architecture, illustrated in Figure 1, where the classification is performed over a sparse code computed with a single learned dictionary of

Another segment of the load record for the crushing test shown in Figure 9 illustrating the load oscillations associated with lock-in at ~350 Hz that set in towards the

Similarly, ( Stab and Gurevych , 2017 ) used a CRF to extract argu- ment components in essays. , 2017 ) leveraged deep learning techniques to extract ar- guments from raw

Here we present a deep learning framework for the prediction of the quantum mechanical wavefunction in a local basis of atomic orbitals from which all other ground-state properties

Mais notre espoir reste l’antibioprophylaxie par la Cefuroxime à la fin de l’intervention chirurgicale, qui a prouvé jusqu’à présent son efficace dans la