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» On the Hardness of Approximate Reasoning
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ESANN
2006
15 years 1 months ago
On the selection of hidden neurons with heuristic search strategies for approximation
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
Ignacio Barrio, Enrique Romero, Lluís A. Be...
UAI
2003
15 years 1 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
AAAI
2004
15 years 1 months ago
GROWRANGE: Anytime VCG-Based Mechanisms
We introduce anytime mechanisms for distributed optimization with self-interested agents. Anytime mechanisms retain good incentive properties even when interrupted before the opti...
David C. Parkes, Grant Schoenebeck
SIGECOM
2005
ACM
101views ECommerce» more  SIGECOM 2005»
15 years 5 months ago
Fairness and optimality in congestion games
We study two problems, that of computing social optimum and that of finding fair allocations, in the congestion game model of Milchtaich[8] Although we show that the general prob...
Deeparnab Chakrabarty, Aranyak Mehta, Viswanath Na...
ECCC
2008
98views more  ECCC 2008»
14 years 12 months ago
Public-Key Cryptosystems from the Worst-Case Shortest Vector Problem
We construct public-key cryptosystems that are secure assuming the worst-case hardness of approximating the minimum distance on n-dimensional lattices to within small poly(n) fact...
Chris Peikert