We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
In order to regulate different circumstances over an extensive period of time, norms in institutions are stated in a vague and biguous manner, thereby abstracting from concrete as...
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
In this paper we examine the current computer science curriculum in elementary schools and identify its shortcomings. We then presents a new approach to teaching computer science ...
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...