In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
The activity of babies and more specifically the posture of babies is an important aspect in their safety and development. In this paper, we studied the automatic classification o...
Abstract—Data sanitization has been used to restrict reidentification of individuals and disclosure of sensitive information from published data. We propose an attack on the pri...
A common form of prior knowledge in economic modelling concerns the monotonicity of relations between the dependent and explanatory variables. Monotonicity may also be an important...