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» SNPs Problems, Complexity, and Algorithms
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CORR
2006
Springer
154views Education» more  CORR 2006»
15 years 4 months ago
How Hard Is Bribery in Elections?
We study the complexity of influencing elections through bribery: How computationally complex is it for an external actor to determine whether by paying certain voters to change t...
Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hem...
TOG
2008
102views more  TOG 2008»
15 years 4 months ago
A meshless hierarchical representation for light transport
We introduce a meshless hierarchical representation for solving light transport problems. Precomputed radiance transfer (PRT) and finite elements require a discrete representation...
Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turqui...
JAPLL
2010
179views more  JAPLL 2010»
15 years 2 months ago
Tractable query answering and rewriting under description logic constraints
Answering queries over an incomplete database w.r.t. a set of constraints is an important computational task with applications in fields as diverse as information integration and ...
Héctor Pérez-Urbina, Boris Motik, Ia...
COCO
2005
Springer
123views Algorithms» more  COCO 2005»
15 years 9 months ago
If NP Languages are Hard on the Worst-Case Then It is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
FLAIRS
1998
15 years 5 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith