Various methodologies for structuring the process of domain modeling have been proposed, but there are few software tools that provide automatic support for the process of construc...
Koen V. Hindriks, Stijn Hoppenbrouwers, Catholijn ...
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
The nearly three dozen core technologies of computing sit in a simple framework defined by great principles and by computing practices. The great principles are of two kinds, mech...
This paper describes an efficient implementation of binning for decode-and-forward (DF) in relay channels using lowdensity parity-check (LDPC) codes. Bilayer LDPC codes are devised...
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...