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» On the Hardness of Approximate Reasoning
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ESANN
2006
15 years 7 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 7 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 7 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 12 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»
15 years 6 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