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AAAI
2010
15 years 6 months ago
Constraint Programming for Data Mining and Machine Learning
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Luc De Raedt, Tias Guns, Siegfried Nijssen
INFOCOM
2012
IEEE
13 years 7 months ago
Maximizing system throughput by cooperative sensing in Cognitive Radio Networks
—Cognitive Radio Networks allow unlicensed users to opportunistically access the licensed spectrum without causing disruptive interference to the primary users (PUs). One of the ...
Shuang Li, Zizhan Zheng, Eylem Ekici, Ness B. Shro...
CG
2011
Springer
14 years 8 months ago
A projected back-tracking line-search for constrained interactive inverse kinematics
Inverse kinematics is the problem of manipulating the pose of an articulated figure in order to achieve a desired goal disregarding inertia and forces. One can approach the probl...
Morten Engell-Nørregård, Kenny Erlebe...
173
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JDA
2007
156views more  JDA 2007»
15 years 5 months ago
A linear time algorithm for the inversion median problem in circular bacterial genomes
In the median problem, we are given a distance or dissimilarity measure d, three genomes G1, G2, and G3, and we want to find a genome G (a median) such that the sum 3 i=1 d(G, Gi...
Enno Ohlebusch, Mohamed Ibrahim Abouelhoda, Kathri...
AAAI
2008
15 years 7 months ago
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
Masahiro Ono, Brian C. Williams