RPD publishes peer-reviewed papers covering all aspects of personal and environmental dosimetry and monitoring for both ionising and non-ionising radiations. This includes biological aspects, physical concepts, biophysical dosimetry, external and internal personal dosimetry and monitoring, environmental and workplace monitoring and accident dosimetry and dosimetry related to the protection of patients.
For more information about the journal, see http://rpd.oxfordjournals.org/.
Oxford University Press (Uploaded by Lian Tze Lim)
In this work we apply machine learning as a conducive method towards
identifying previously unstudied patterns in chromosome interaction data sets. We rst use
supervised learning to show that patterns identi ed by a user can be learned by tensor ow
models, and then transition into unsupervised methods to delve even more deeply into the
possibilities of discovery without human intervention.
In this paper we develop an original approach to evaluate the costs and benefits associated to a generic promotion program using an application to Bordeaux wines. The benefit is computed from the marginal impact of the collective reputation of the program on the individual reputation of its members. These different marginal impacts are estimated using detailed survey data about the image of Bordeaux wines in seven European countries. We find positive and significant spillover effects from the umbrella reputation (Bordeaux) that moreover increase with the individual reputation level of the wine. Controlling for the natural endogeneity of the collective reputation in this setup, we capture the important fact that this relationship is faced with marginal diminishing returns. These spillover effects, when significantly positive, vary from a minimum of 5% to a maximum of 15% of additional favorable quality opinions. We then show that some subregions are more likely to benefit from generic promotion programs, suggesting that fees should be established on a benefit-cost basis.