The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has generated a renewed interest in larger family of Coronaviridae, which causes variety different respiratory infections hosts. Understanding mechanisms behind ability viruses to spill over into hosts is an ongoing study. In this work, we studied relationship between specific amino acid sites and solvent accessibility surface (or spi...

Our goal is to forecast ground truth Y using two sources of informationXA,XB , without access to any data labeled with ground truth. That is, we are aiming to learn two predictors/hypotheses P ∗ A, P ∗ B such that P ∗ A(XA) and P ∗ B(XB) provide high quality forecasts for ground truth Y , without labeled data. We also want to elicit a high quality forecast for Y from the crowds and pay the crow...

The importance of good weighting methodology in information retrieval methods – the method that affects the most useful features of a document or query representative is examined. Good weighting methodologies are supposed to be more important than the feature selection process. Weighting features is the thing that many information retrieval systems are regarding as being of minor importance as ...

In this paper, we define the chunking problem as a classification of words and present a weighted probabilistic model for a text chunking. The proposed model exploits context features around the focus word. And to alleviate the sparse data problem, it integrates general features with specific features. In the training stage, we select useful features after measuring information gain ratio of ea...

To present the theoretical results for GP-UCB, we begin by defining the Maximum Information Gain (MIG) which characterises the statistical difficulty of GP bandits. Definition 2. (Maximum Information Gain (Srinivas et al., 2010)) Let f ∼ GP(0, φX ). Consider any A ⊂ R and let A′ = {x1, . . . , xn} ⊂ A be a finite subset. Let fA′ , A′ ∈ R such that (fA′)i = f(xi) and ( A′)i ∼ N (0, η). Let yA′ =...