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ILP
2007
Springer
14 years 4 months ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
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 ...
David D. Jensen
ICALT
2006
IEEE
14 years 4 months ago
Metadata Challenges for Situational Properties of Learning Objects
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 ...
Baden Hughes, Roderick A. Farmer
ICALT
2005
IEEE
14 years 3 months ago
Managing the Semantic Aspects of Learning Using the Knowledge Life Cycle
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....
ICALT
2005
IEEE
14 years 3 months ago
Semantic Grid Based e-Learning Using the Knowledge Life Cycle
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....
ICML
2010
IEEE
13 years 11 months ago
Metric Learning to Rank
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 ...
Brian McFee, Gert R. G. Lanckriet