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IAT
2008
IEEE
15 years 6 months ago
Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support
While context-awareness has been found to be effective for decision support in complex domains, most of such decision support systems are hard-coded, incurring significant develop...
Teck-Hou Teng, Ah-Hwee Tan
IEAAIE
2010
Springer
15 years 4 months ago
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
AUSAI
2005
Springer
16 years 8 days ago
Locating Regions of Interest in CBIR with Multi-instance Learning Techniques
In content-based image retrieval (CBIR), the user usually poses several labelled images and then the system attempts to retrieve all the images relevant to the target concept defi...
Zhi-Hua Zhou, Xiao-Bing Xue, Yuan Jiang
FLAIRS
2004
15 years 8 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
ICML
2005
IEEE
16 years 7 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos