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151
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ICCV
2003
IEEE
15 years 9 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
148
Voted
AOSE
2003
Springer
15 years 8 months ago
A Framework for Constructing Multi-agent Applications and Training Intelligent Agents
As agent-oriented paradigm is reaching a significant level of acceptance by software developers, there is a lack of integrated highstraction tools for the design and development o...
Pericles A. Mitkas, Dionisis Kehagias, Andreas L. ...
135
Voted
ECP
1997
Springer
105views Robotics» more  ECP 1997»
15 years 7 months ago
Planning, Learning, and Executing in Autonomous Systems
Systems that act autonomously in the environment have to be able to integrate three basic behaviors: planning, execution, and learning. Planning involves describing a set of action...
Ramón García-Martínez, Daniel...
124
Voted
ICIA
2007
15 years 5 months ago
Task Learning by Instruction: Benefits and Challenges for Intelligent Interactive Systems
The CALO desktop assistant aims to provide assistance through many AI technologies, including several techniques for learning to perform tasks. Based on our experiences implementi...
Jim Blythe, Prateek Tandon, Mandar Tillu
APCCM
2008
15 years 5 months ago
Constraint Acquisition - You Can Chase but You Cannot Find
We identify established tableaux techniques as an invaluable tool for semantic knowledge acquisition in the design process of relational databases. Sample databases allow users an...
Sven Hartmann, Sebastian Link, Thu Trinh