ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Abstract: This paper introduces an online approach for identifying time-varying subspaces defined by linear dynamical systems. The approach of representing linear systems by non-parametric subspace ...
This isn't necessarily an issue per se, but I thought the following problem I encountered would be worth documenting since this took me a while to finally figure out: If you use recursive and call a ...
MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.
ABSTRACT: The development of artificial intelligence (AI), particularly deep learning, has made it possible to accelerate and improve the processing of data collected in different fields (commerce, ...
I would like to migrate from leex and yecc (Erlang's versions of the famous lex and yacc LALR parsing toolset) to this library but I'm concerned about the time complexity of top-down recursive descent ...
Abstract: The optimal minimax solution to the N segment piecewise linear approximation of arbitrary convex differentiable functions over a finite range is described. The optimal solution is uniquely ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results