As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
Abstract: Constant-false-alarm-rate (CFAR) detectors in sonar and radar are often implemented by forming the ratio of an unnormalized decision statistic from a test cell to an estimate of the noise ...
This repo contains code examples of how to use cleanlab with specific real-world models/datasets, how its underlying algorithms work, how to get better results via advanced functionality, and how to ...
PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...
The success of deep learning is often attributed to its ability to harness the hierarchical and compositional structure of data. However, formalizing and testing this notion remained a challenge. This ...
Abstract: This article deals with monotonicity conditions for radial basis function (RBF) networks. Two architectures of RBF networks are considered—1) unnormalized network with a local character of ...
In metabolomics data, like other -omics data, normalization is an important part of the data processing. The goal of normalization is to reduce the variation from non-biological sources (such as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results