We establish the capacity of a class of communication channels introduced by Makur. The-
letter input from a finite alphabet is passed through a discrete memoryless channel and then …

This study proposes a novel incremental learning algorithm called distribution matching
ensemble (DME) in context of adaptive weighted ensemble learning. In particular, DME …

In this work, the problem of communicating decisions of a classifier over a noisy channel is
considered. with machine learning based models being used in variety of time-sensitive …

A number of engineering and scientific problems require representing and manipulating
probability distributions over large alphabets, which we may think of as long vectors of reals …

In this work, the problem of communicating decisions of a classifier over a noisy channel is
considered. With machine learning based models being used in variety of time-sensitive …

Sequence recommendation is a prominent research area within recommender systems,
focused on predicting items that users may be interested in by modeling their historical …

Matrix multiplication computation acceleration has been a research hotspot across various
domains. Due to the characteristics of some applications, approximate matrix multiplication …

Fire detection has always been an important issue in the field of emergency. Traditional fire
detection methods have many shortcomings, such as high hardware cost and limited …

In recent years, the fervent demand for computational power across various domains has
prompted hardware manufacturers to introduce specialized computing hardware aimed at …

We introduce, under a parametric framework, a family of inequalities between mutual
information and Fisher information. These inequalities are indexed by reference measures …