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FCT
2007
Springer
13 years 8 months ago
On Approximating Optimal Weighted Lobbying, and Frequency of Correctness Versus Average-Case Polynomial Time
We investigate issues regarding two hard problems related to voting, the optimal weighted lobbying problem and the winner problem for Dodgson elections. Regarding the former, Chris...
Gábor Erdélyi, Lane A. Hemaspaandra,...
ICALP
2009
Springer
14 years 5 months ago
Node-Weighted Steiner Tree and Group Steiner Tree in Planar Graphs
We improve the approximation ratios for two optimization problems in planar graphs. For node-weighted Steiner tree, a classical network-optimization problem, the best achievable ap...
Erik D. Demaine, MohammadTaghi Hajiaghayi, Philip ...
ICPR
2000
IEEE
14 years 6 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
CORR
2002
Springer
113views Education» more  CORR 2002»
13 years 4 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
AAAI
2008
13 years 7 months ago
Approximability of Manipulating Elections
In this paper, we set up a framework to study approximation of manipulation, control, and bribery in elections. We show existence of approximation algorithms (even fully polynomia...
Eric Brelsford, Piotr Faliszewski, Edith Hemaspaan...