without access to precise information in individual data records? We consider the concrete case of building a decision-tree classifier from tredning data in which the values of individual records have been perturbed. The resulting data records look very different from the original records

The highest fertility in Europe – for how long? The analysis of fertility change in Albania based on

individuals to assist in this endeavor, but in general such data may be either unavailable or only partially informative. We focus here on the problem of statistically inferring haplotypes from unphased genotype data for a sample of ("unrelated") individuals from a population. Several approaches

The large-scale automated transaction systems of the near future can be designed to protect the privacy and maintain the security of both individuals and organizations. DAVID CHAUM Computerization is robbing individuals of the ability to monitor and control the ways information about them is used

teacher fixed effects. Unlike previous studies, I use panel data to estimate teacher fixed effects while control-ling for fixed student characteristics and classroom specific variables. I find large and statistically significant differences among teachers: a one standard deviation increase in teacher

guarantees that the individuals who are the subjects of the data cannot be re-identified while the data remain practically useful? The solution provided in this paper includes a formal protection model named k-anonymity and a set of accompanying policies for deployment. A release provides k

It is possible to combine multiple latent-variable models of the same data by multiplying their probability distributions together and then renormalizing. This way of combining individual “expert ” models makes it hard to generate samples from the combined model but easy to infer the values

effects are markedly absent in other major life decisions such as choice of college major. Peer effects in GPA occur at the individual room level, whereas peer effects in fraternity membership occur both at the room level and the entire dorm level. Overall, the data provide strong evidence

Much of the theory in personnel economics relates to effects of monetary incentives on output, but the theory was untested because appropriate data were unavailable. A new data set for the Safelite Glass Corporation tests the predictions that average productivity will rise, the firm will attract a

software platform and a collection of data sets for easy evaluation, we have designed a stand-alone, flexible C++ implementation that enables the evaluation of individual components and that can easily be extended to include new algorithms. We have also produced several new multi-frame stereo data sets