Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez D...
SINotas is a data-to-text NLG application intended to produce short textual reports on students'academic performance from a database conveying their grades, weekly attendance...
Roberto P. A. Araujo, Rafael L. de Oliveira, Eder ...
The lack of structure in the content of email messages makes it very hard for data channelled between the sender and the recipient to be correctly interpreted and acted upon. As a...
Simon Scerri, Myriam Mencke, Brian Davis, Siegfrie...
At present, trajectory data, series of coordinate data traversed by moving objects, can be readily obtained due to the advent of positioning technologies. Clustering of trajectori...