In applications like nancial trading, scheduling, manufacturing and process control, time based predicates in queries and rules are very important. There is also a need to dene ...
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
We provide yet another proof of the existence of calibrated forecasters; it has two merits. First, it is valid for an arbitrary finite number of outcomes. Second, it is short and ...
Ratings of voices' likability were collected in two successive studies. A single scale seems to be sufficient for assessing such ratings. Based on limited but controlled data...