We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
In studies of multi-agent interaction, especially in game theory, the notion of equilibrium often plays a prominent role. A typical scenario for the belief merging problem is one ...
The need to merge multiple sources of uncertain information is an important issue in many application areas, especially when there is potential for contradictions between sources. ...
We present an annotation project for two subsets of the Enron email corpus. The first is a subset of the UC Berkeley Enron Email Analysis Project and the second consists of a port...
Jade Goldstein, Andres Kwasinksi, Paul Kingsbury, ...