What is the principle of parsimony? What is Cavalieri's Principle? What is the correspondence principle? What are the Caldicott principles? What is Bernoulli's principle? What is a progression for balance training with youth? What are the principles of biomechanics?
The principle of progression describes the increase in a house's value when built in an area with more valuable homes. Agents are more likely to advise their clients to buy these houses. What is the best definition for the principle of progression?
We aimed to assess the accuracy of each model to forecast the values of the endpoints of a participant in the test set or the external validation set. The general principle is to blind the latest data of the participant, use the unblinded data as input of the model, and compare the ...
The learning part consists in the definition of the hyperplane. During the training phase we provide to the model some patients with their symptoms and the information whether they contracted COVID-19 or not. By minimizing a suitable loss function the model finds the optimal hyperplane that ...
(PLS-DA), a class of supervised latent-factor model, to distinguish between these two phenotypes while simultaneously uncovering interpretable latent modules. PLS-DA was a natural choice of method because it is a model that exploits the principle of parsimony by learning to separate target classes...
28 Principle coordinate analysis (PCoA) is the modified version of PCA analysis, in which different distance metrics (e.g., Bray-Curtis distances) can be used, compared to the Euclidean distances that is solely used in PCA. Both PCA and PCoA analysis used in this study were performed at ...
The “inner” classifier was further evaluated by performing 5-fold cross-validation by splitting the training dataset into five equally sized parts. In each iteration of the cross-validation, four of these parts were used to generate a classifier that was then used for predicting class ...
Due to the limited number of RA patients with progression a randomly split of the patient collective into a training set and into a test set was not possible. Therefore an external cross validation (ECV) was carried out. For the ECV the training set was subdivided 50 times (ratio 2(trainin...
we also revealed a critical function of Skp2 in governing CSC properties (Figure 7G). Our study provides proof of principle that pharmacological Skp2 inactivation could profoundly restrict cancer developments in various cancer models and confer sensitivity to chemotherapy, supporting the notion that Skp...
(2,711 subjects) from OAI dataset for training and 3,918 knees (2,129 subjects) from MOST dataset for testing of our model. Here, 1,331 (27%) and 1,501 (47%) knees were identified as progressors in OAI and MOST data, respectively. As a progression definition, we utilised an ...