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» Observational learning in an uncertain world
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DAGM
2003
Springer
14 years 1 months ago
Learning Human-Like Opponent Behavior for Interactive Computer Games
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
Christian Bauckhage, Christian Thurau, Gerhard Sag...
AIIA
2009
Springer
14 years 3 months ago
Relational Temporal Data Mining for Wireless Sensor Networks
Wireless sensor networks (WSNs) represent a typical domain where there are complex temporal sequences of events. In this paper we propose a relational framework to model and analys...
Teresa Maria Altomare Basile, Nicola Di Mauro, Ste...
LOCA
2005
Springer
14 years 1 months ago
Issues and Requirements for Bayesian Approaches in Context Aware Systems
Research in advanced context-aware systems has clearly shown a need to capture the inherent uncertainty in the physical world, especially in human behavior. Modelling approaches th...
Michael Angermann, Patrick Robertson, Thomas Stran...
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 8 months ago
LungCAD: a clinically approved, machine learning system for lung cancer detection
We present LungCAD, a computer aided diagnosis (CAD) system that employs a classification algorithm for detecting solid pulmonary nodules from CT thorax studies. We briefly descri...
R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salgan...
IROS
2008
IEEE
121views Robotics» more  IROS 2008»
14 years 2 months ago
Learning robot motion control with demonstration and advice-operators
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
Brenna Argall, Brett Browning, Manuela M. Veloso