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» Methods for Dynamic Classifier Selection
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ML
2000
ACM
13 years 10 months ago
Maximizing Theory Accuracy Through Selective Reinterpretation
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
Shlomo Argamon-Engelson, Moshe Koppel, Hillel Walt...
CP
1998
Springer
14 years 2 months ago
Using Constraint Programming and Local Search Methods to Solve Vehicle Routing Problems
We use a local search method we term Large Neighbourhood Search (LNS) for solving vehicle routing problems. LNS meshes well with constraint programming technology and is analogous...
Paul Shaw
MCS
2008
Springer
13 years 10 months ago
Error analysis of a stochastic immersed boundary method incorporating thermal fluctuations
A stochastic numerical scheme for an extended immersed boundary method which incorporates thermal fluctuations for the simulation of microscopic biological systems consisting of fl...
Paul J. Atzberger, Peter R. Kramer
ICMLA
2008
13 years 11 months ago
A Weighted Distance Measure for Calculating the Similarity of Sparsely Distributed Trajectories
This article presents a method for the calculating similarity of two trajectories. The method is especially designed for a situation where the points of the trajectories are distr...
Pekka Siirtola, Perttu Laurinen, Juha Röning
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 3 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai