Interpretable machine learning aims at unveiling the reasons behind predictions returned by uninterpretable classifiers. One of the most valuable types of
The Bayesian Dirichlet (BD) scoring function is defined as follows. Click this link to see what each of these terms mean. For a weekend project, I created a Java and JavaScript API for computing the BD scoring function. The project is open-source with Apache License v2.0. You may download...
The aim of this study was to determine the frequency of diabetes mellitus, impaired fasting glucose, and glucose intolerance in higher-risk groups using a FINDRISC survey in an urban population. Methods: We used a television program to invite interested adults to fill out a survey at a ...
The model optimizes recall instead of precision. In this case, recall can be thought as of a model’s ability to find all the data points of interest (MRT) in a dataset. A precision-recall tradeoff is common in many scenarios and it often boils down to the business problem that the co...
As far as our work is concerned, this distinction is mostly of a philosophical nature. From a technical perspective, the exact same methods may be used for named entities and/or concepts. Thus, unless stated otherwise, whenever we write entity in this book, we mean both of them. ...
Find the mean of the given probability distribution. According to a survey, the percentage of households by number of vehicles is given in the following Suppose that for a certain experiment, P(B) = 0.5 and P(A|B) = 0.2. Find P(A...
. We will explore global hotspots of future coastal flood hazard by generating novel probabilistic projections of extreme sea levels, combining model simulations of future storm surges, waves and sea level rise. Resultant probability density functions and narrative-based storylines will be developed to...
This repository is the official implementation of Multi-Facet Clustering Variational Autoencoders (MFCVAE). MFCVAE is a principled, probabilistic clustering model which finds multiple partitions of data simultaneously through its multiple Mixtures-of-Gaussians (MoG) prior. Our model lies in the framewo...
After obtaining a splicing node x cell pool matrix of PSI values (Fig. 1a), scASfind first centers each column of the matrix to obtain the deviation of PSI values from the dataset mean (default: |ΔPSI|> 0.2). This is to capture the biologically informa- tive PSI variation across ...
This application is related to U.S. application Ser. No. ___ (Attorney Docket No. F463), titled “SCALE OUT CHUNK STORE TO MULTIPLE NODES TO ALLOW CONCURRENT DEDUPLICATION,” U.S. application Ser. No. ___ (Attorney Docket No. F464), titled “A PROBABILISTIC ALGORITHM TO CHECK WHETHER...