Australian driving restrictions: how well do neurologists know them?

How Well Do We Know Bernoulli?

Näıve Bayes probabilistic models are widely used in text categorization because of their efficient model training and good empirical results. Bayesian classifiers face a common issue called data sparsity problem which makes an adequate estimation of probabilities a difficult task. Therefore, smoothing techniques are needed in order to adjust the maximum likelihood estimators. In this preliminar...

Meta-insight: do people really know how others see them?

Although people can accurately guess how others see them, many studies have suggested that this may only be because people generally assume that others see them as they see themselves. These findings raise the question: In their everyday lives, do people understand the distinction between how they see their own personality and how others see their personality? We examined whether people make th...

How well do you really know your employees?

How Well Do We Know the Sunspot Number?

We show that only two adjustments are necessary to harmonize the Group Sunspot Number with the Zürich Sunspot Number. The latter being inflated from the 1940s on to the present by 20% due to weighting of sunspot counts according to size of the spots, and corrected by inflating the earlier values as well. The Group Sunspot Number before ∼1885 is too low by ∼50%. With these adjustments a single s...

Actinides: How well do we know their stellar production?

The reliable evaluation of the r-process production of the actinides and careful estimates of the uncertainties affecting these predictions are key ingredients especially in nucleo-cosmochronology studies based on the analysis of very metal-poor stars or on the composition of meteorites. This type of information is also required in order to make the best possible use of future high precision da...