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» On the Hardness of Approximate Reasoning
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NETWORKS
2011
15 years 1 months ago
Line planning, path constrained network flow and inapproximability
Abstract. We consider a basic subproblem which arises in line planning, and is of particular importance in the context of a high system load or robustness: How much can be routed m...
Christina Büsing, Sebastian Stiller
STOC
2004
ACM
109views Algorithms» more  STOC 2004»
16 years 6 months ago
Approximating the cut-norm via Grothendieck's inequality
The cut-norm ||A||C of a real matrix A = (aij)iR,jS is the maximum, over all I R, J S of the quantity | iI,jJ aij|. This concept plays a major role in the design of efficient app...
Noga Alon, Assaf Naor
APPROX
2008
Springer
107views Algorithms» more  APPROX 2008»
15 years 8 months ago
A General Framework for Designing Approximation Schemes for Combinatorial Optimization Problems with Many Objectives Combined in
Abstract. In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one ob...
Shashi Mittal, Andreas S. Schulz
ESANN
2004
15 years 7 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
MFCS
2005
Springer
15 years 11 months ago
Tight Approximability Results for the Maximum Solution Equation Problem over Zp
In the maximum solution equation problem a collection of equations are given over some algebraic structure. The objective is to find an assignment to the variables in the equation...
Fredrik Kuivinen