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AAAI
2007
13 years 11 months ago
Learning by Combining Observations and User Edits
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...
AI
2005
Springer
14 years 2 months ago
SWAMI: Searching the Web Using Agents with Mobility and Intelligence
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...
Mark Kilfoil, Ali A. Ghorbani
ITIIS
2010
150views more  ITIIS 2010»
13 years 7 months ago
Computational Trust and Its Impact over Rational Purchasing Decisions of Internet Users
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...
Sanguk Noh
AAAI
2011
12 years 9 months ago
Effective End-User Interaction with Machine Learning
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...
IWAI
1999
Springer
14 years 1 months ago
Redesigning the Agents' Decision Machinery
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...
Luis Antunes, Helder Coelho