Abstract: This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, log linear models without mixtures have been used as ...

The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits. Switched circuits are ubiquitous in ...

AssemblyAI updates its Speaker Diarization model for better accuracy and multilingual support, alongside new tutorials for developers. AssemblyAI has recently unveiled significant updates to its ...

x-Tesla AI lead, Andrej Karpathy gave a one hour general-audience introduction to Large Language Models. The core technical component behind systems like ChatGPT, Claude, and Bard. What they are, ...

This article illustrates how to build, in less than 5 minutes, a simple linear regression model with gradient descent. The goal is to predict a dependent variable (y) from an independent variable (X).

Implementation of the Log-linear classifier and the MLP1 classifier from Assignment 1 in ׳Deep Learning for Texts and Sequences' course using PyTorch ...