Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
raction of free-standing metadata describing learning objects is typified by an analytical model which primarily focuses on the encoding of discrete properties pertaining to the ...
In this paper we examine the semantic aspects of learning from both pedegogical and technological points of view. We suggest that if semantics are to fullfil their potential in th...
Feng Tao, David E. Millard, Arouna Woukeu, Hugh C....
In this paper we suggest that if semantics are to fullfil their potential in the learning domain then a paradigm shift in perspective is necessry from information based content de...
Feng Tao, David E. Millard, Arouna Woukeu, Hugh C....
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...