We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
The rapid growth of the World Wide Web has complicated the process of web browsing by providing an overwhelming wealth of choices for the end user. To alleviate this burden, intell...
As web-based online communities are rapidly growing, the agents in the communities need to know their measurable belief of trust for safe and successful interactions. In this pape...
End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
In a multi-agent system, agents must decide what to do and by what order. Autonomy is a key notion in such a system, since it is mainly the autonomy of the agents that makes the en...