Abstract: The problem of learning a channel decoder is considered for two channel models. The first model is an additive noise channel whose noise distribution is unknown and nonparametric. The ...

Based on the characteristics of rock burst assessment, an assignment method based on the FCM algorithm was constructed. The correlation coefficient matrix was adopted to replace the covariance matrix ...

Drug-induced liver injury (DILI) has been investigated at the patient level. Analysis of gene perturbation at the cellular level can help better characterize biological mechanisms of hepatotoxicity.

There are two primary methods supported by Faiss indices, L2 and inner product. Others are supported by IndexFlat. For the full list of metrics, see here. Faiss reports squared Euclidean (L2) distance ...

1 Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA. 2 Panhandle Research and Extension Center, University of Nebraska-Lincoln, Scottsbluff, NE, USA. 3 ...

Abstract: This article explores the problem of symmetric transformation in the presence of outliers for photogrammetric and remote-sensing applications. We propose a pointwise robust objective for ...

A collection of out-of-distribution (OOD) detection methods that can be applied to pre-trained neural networks, including Mahalanobis distance-based OOD detectors at different depths of the network - ...

Characterizing the representations encoded in patterns of neural activity is key to understanding brain computation. Representational similarity analysis uses the geometry of neural population ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a particular make and model of a used car based on its ...