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» Algorithms for trigonometric polynomials
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MP
2002
176views more  MP 2002»
14 years 11 months ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell
ML
2007
ACM
130views Machine Learning» more  ML 2007»
14 years 11 months ago
Interactive learning of node selecting tree transducer
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
Julien Carme, Rémi Gilleron, Aurélie...
LATIN
2010
Springer
14 years 10 months ago
On Quadratic Threshold CSPs
A predicate P : {−1, 1}k → {0, 1} can be associated with a constraint satisfaction problem Max CSP(P). P is called “approximation resistant” if Max CSP(P) cannot be approxi...
Per Austrin, Siavosh Benabbas, Avner Magen
TPDS
2010
256views more  TPDS 2010»
14 years 10 months ago
Privacy-Conscious Location-Based Queries in Mobile Environments
— In location-based services, users with location-aware mobile devices are able to make queries about their surroundings anywhere and at any time. While this ubiquitous computing...
Jianliang Xu, Xueyan Tang, Haibo Hu, Jing Du
SECON
2010
IEEE
14 years 9 months ago
Two-Tiered Constrained Relay Node Placement in Wireless Sensor Networks: Efficient Approximations
In a wireless sensor network, short range multihop transmissions are preferred to prolong the network lifetime due to super-linear nature of energy consumption with communication d...
Dejun Yang, Satyajayant Misra, Xi Fang, Guoliang X...