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» Learning Models of Intelligent Agents
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FLAIRS
2004
15 years 5 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...
139
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AAAI
2010
15 years 3 months ago
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
Fabian Buchwald, Tobias Girschick, Eibe Frank, Ste...
114
Voted
TSMC
2002
105views more  TSMC 2002»
15 years 3 months ago
V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...
151
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AAAI
2007
15 years 6 months ago
Two Approaches for Building an Unsupervised Dependency Parser and Their Other Applications
Much work has been done on building a parser for natural languages, but most of this work has concentrated on supervised parsing. Unsupervised parsing is a less explored area, and...
Jagadeesh Gorla, Amit Goyal, Rajeev Sangal
137
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ICIA
2007
15 years 6 months ago
An Adaptive, Emotional, and Expressive Reminding System
We are currently developing an adaptive, emotional, and expressive interface agent, which learns when and how to notify users about self-assigned tasks and events. In this paper, ...
Nadine Richard, Seiji Yamada