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ILP
2007
Springer
15 years 3 months ago
Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
HCI
2007
14 years 11 months ago
Context-Aware Notification for Mobile Police Officers
To minimize unwanted interruption and information overload during surveillance, mobile police officers need to be supported by a mobile, contextaware notification system. This syst...
Jan Willem Streefkerk, Myra P. van Esch-Bussemaker...
CHI
2008
ACM
15 years 10 months ago
Eye movements as implicit relevance feedback
Reading detection is an important step in the process of automatic relevance feedback generation based on eye movements for information retrieval tasks. We describe a reading dete...
Georg Buscher, Andreas Dengel, Ludger van Elst
CHI
2007
ACM
15 years 10 months ago
An extensible platform for the interactive exploration of Fitts' Law and related movement time models
This paper describes a new software platform for the interactive exploration of human performance models such as Fitts' law. The software is written in Java and provides a fl...
Martin J. Schedlbauer