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» An Instance Selection Approach to Multiple Instance Learning
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CVPR
2009
IEEE
16 years 5 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
ACMSE
2006
ACM
15 years 3 months ago
A SAT-based solver for Q-ALL SAT
Although the satisfiability problem (SAT) is NP-complete, state-of-the-art solvers for SAT can solve instances that are considered to be very hard. Emerging applications demand t...
Ben Browning, Anja Remshagen
ACMIDC
2008
14 years 12 months ago
Embodying scientific concepts in the physical space of the classroom
Several simulation environments exist that create a place in which students can explore scientific phenomena. In this paper, we propose design guidelines for creating a classroom ...
Peter Malcolm, Tom Moher, Darshan Bhatt, Brian Uph...
CORR
2008
Springer
98views Education» more  CORR 2008»
14 years 10 months ago
Bayesian Optimisation Algorithm for Nurse Scheduling
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
Jingpeng Li, Uwe Aickelin
ATAL
2010
Springer
14 years 11 months ago
High-level reinforcement learning in strategy games
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...
Christopher Amato, Guy Shani