We introduce two nonparametric independent component analysis (ICA) criteria based on factorization of characteristic functions. This approach has potential to separate wide class of distributions because characteristic function always exists. A simple criterion allowing for efficient search of the separating matrix and a more advanced criterion possessing desirable consistency property are pre...

Incremental reduced error pruning is a technique that has been extensively used for efficient induction of ordered rule sets (decision lists). Several criteria have been developed regarding how to prune rules and whether or not to exclude generated rules. A version of incremental reduced error pruning for unordered rule sets is presented, and the appropriateness of previously proposed criteria ...

This paper aims to demonstrate that knowledge-based hybrid learning algorithms are positioned to offer better performance in comparison with purely empirical machine learning algorithms for the automatic classification task associated with the diagnosis of a medical condition described as pulmonary embolism (PE). The main premise is that there exists substantial and significant specialized know...

Several recent studies have tackled the issue of optimal network immunization by providing efficient criteria to identify key nodes to be removed in order to break apart a network, thus preventing the occurrence of extensive epidemic outbreaks. Yet, although the efficiency of those criteria has been demonstrated also in empirical networks, preventive immunization is rarely applied to real-world...

The ROC curve is known to be the golden standard for measuring performance of a test/scoring statistic regarding its capacity of discrimination between two populations in a wide variety of applications, ranging from anomaly detection in signal processing to information retrieval, through medical diagnosis. Most practical performance measures used in scoring applications such as the AUC, the loc...

We discuss how organizations can evaluate psychological science for its potential usefulness to their own purposes. Common sense is often the default but inadequate alternative, and bench-marking supplies only collective hunches instead of validated principles. External validity is an empirical process of identifying moderator variables, not a simple yes-no judgment about whether lab results re...

Carnap’s search for a criterion of empirical significance is usually considered a failure. I argue that the results from two out of his three different approaches are at the very least problematic, but that one approach led to success. Carnap’s criterion of translatability into logical syntax is too vague to allow for definite results. His criteria for terms—introducibility by chains of reducti...