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AAAI
2006
13 years 11 months ago
Active Learning with Near Misses
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
Nela Gurevich, Shaul Markovitch, Ehud Rivlin
AAAI
2006
13 years 11 months ago
Modeling Human Decision Making in Cliff-Edge Environments
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
Ron Katz, Sarit Kraus
AIPS
2004
13 years 11 months ago
Price Prediction Strategies for Market-Based Scheduling
In a market-based scheduling mechanism, the allocation of time-specific resources to tasks is governed by a competitive bidding process. Agents bidding for multiple, separately al...
Jeffrey K. MacKie-Mason, Anna Osepayshvili, Daniel...
FLAIRS
2004
13 years 11 months ago
The Power of Experience: On the Usefulness of Validation Knowledge
TURING Test technologies are promising ways to validate AI systems which may have no alternative way to indicate validity. Human experts (validators) are often too expensive to in...
Rainer Knauf, Setsuo Tsuruta, Kenichi Uehara, Taka...
AAAI
2000
13 years 11 months ago
Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test
Developing tools that allow non-programmers to enter knowledge has been an ongoing challenge for AI. In recent years researchers have investigated a variety ofpromising approaches...
Jihie Kim, Yolanda Gil