The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
act 11 Recommender systems anticipate users’ needs by suggesting items that are likely to interest them. Most existing systems 12 employ collaborative filtering (CF) techniques,...
Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhan...
In this paper, we study the possibility of designing non-trivial random CSP models by exploiting the intrinsic connection between structures and typical-case hardness. We show tha...
sets of research abstracts that may be retrieved by a digital library or search engine in response to a user query. y dissertation abstracts were selected as the sample domain in t...
Shiyan Ou, Christopher S. G. Khoo, Dion Hoe-Lian G...