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EACL
2009
ACL Anthology
14 years 9 months ago
Translation as Weighted Deduction
We present a unified view of many translation algorithms that synthesizes work on deductive parsing, semiring parsing, and efficient approximate search algorithms. This gives rise...
Adam Lopez
CORR
2011
Springer
200views Education» more  CORR 2011»
13 years 4 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
ICIP
2004
IEEE
14 years 10 months ago
Robust circle detection using a weighted mse estimator
In this paper we introduce a novel circle detection algorithm based on a weighted minimum mean square error (MSE) formulation. Traditional approaches to circle detections consist ...
Guido M. Schuster, Aggelos K. Katsaggelos
ECML
2007
Springer
14 years 3 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
ALENEX
2010
161views Algorithms» more  ALENEX 2010»
13 years 10 months ago
Route Planning with Flexible Objective Functions
We present the first fast route planning algorithm that answers shortest paths queries for a customizable linear combination of two different metrics, e. g. travel time and energy...
Robert Geisberger, Moritz Kobitzsch, Peter Sanders