A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noisy patterns that belonging to one class are labelled as members of another. This allows classifier construction to focus on borderline patterns, likely to be the most informative ones. To appropriately define the abov...

The dynamics of learning from examples in the K = 3 nonoverlapping committee machine with single presentation of examples is studied. The optimal algorithm, in the sense of mean generalization, is obtained from a variational analysis of the diierential equations which describe the dynamics. The agreement of the theoretical predictions and the results of numerical simulations is excellent. The o...

OBJECTIVES This manuscript assesses safety climate data from the National Machine Guarding Program (NMGP)-a nationwide intervention to improve machine safety. METHODS Baseline safety climate surveys were completed by 2161 employees and 341 owners or managers at 115 businesses. A separate onsite audit of safety management practices and machine guarding equipment was conducted at each business....

Machine intelligence dates back to 1936, when Alan Turing proposed the idea of a universal mathematics machine, a theoretical concept in the mathematical theory of computability. Turing and Emil Post independently proved that determining the decidability of mathematical propositions is equivalent to asking what sort of sequences of a finite number of symbols can be recognized by an abstract mac...

Turing test was long considered the measure for artificial intelligence. But with the advances in AI, it has proved to be insufficient measure. We can now aim to measure machine intelligence like we measure human intelligence. One of the widely accepted measure of intelligence is standardized math and science test. In this paper, we explore the progress we have made towards the goal of making a...

The big data deluge has presented us with a unique opportunity to observe the environment. These sensors employ basic physics principles in sensing include but are not limited to, remote of air quality, temperature, or other biophysical variables. Although great effort been placed into collecting data, greater must be their societal applications. Machine Learning tools can provide easy access b...