A proteomics-driven 24-protein classifier improves the differentiation of thyroid adenoma and carcinoma, retrospectively and ...

In the post-pandemic world, several trends are developing that will fundamentally change the way financial market participants manage commercial ...

As a result, he will make a profit of Rs5 per share. To sum it up, therefore, the functions of derivatives are as follows: They enable price discovery, improve liquidity of the underlying asset ...

This letter designs an approximate derivative backpropagation algorithm for discontinuous activation function and realizes the training of an SNN. Experiments were conducted on three HSI datasets and ...

Last year’s red-hot equity market afforded equity derivatives desks plenty of opportunities for ... Using deep neural networks, complex non-linear functions such as the stochastic volatility charge ...

optional (default='deviance') 'deviance' refers to the logistic regression loss for binary classification ... determined based on the second derivatives / Hessians. criterion: string, optional ...

Table 4. Classification results of PSD-based feature extraction with/without preference indices and the valence index (V) and different classifiers: KNN, RF, SVM, and DNN using various activation ...