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» Approximating Boolean Functions by OBDDs
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ICFP
2007
ACM
14 years 8 months ago
Relating complexity and precision in control flow analysis
We analyze the computational complexity of kCFA, a hierarchy of control flow analyses that determine which functions may be applied at a given call-site. This hierarchy specifies ...
David Van Horn, Harry G. Mairson
ECCC
2010
124views more  ECCC 2010»
13 years 8 months ago
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio
EC
2006
121views ECommerce» more  EC 2006»
13 years 8 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
WINE
2009
Springer
178views Economy» more  WINE 2009»
14 years 3 months ago
Computing Optimal Contracts in Series-Parallel Heterogeneous Combinatorial Agencies
We study an economic setting in which a principal motivates a team of strategic agents to exert costly effort toward the success of a joint project. The action taken by each agent...
Yuval Emek, Michal Feldman
COCO
2005
Springer
123views Algorithms» more  COCO 2005»
14 years 2 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