Knowledge sharing across community boundaries has been discussed in literature as an important source of new knowledge and innovation. Different studies point out the difficulties...
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
As the form factors of computational devices diversify, the concept of eyes-free interaction is becoming increasingly relevant: it is no longer hard to imagine use scenarios in whi...
Although the flexibility of agent interactions has many advantages when it comes to engineering a complex system, the downside is that it leads to certain unpredictability of the ...