DAM
2008
13 years 4 months ago
2008
We propose a generic model for the "weighted voting" aggregation step performed by several methods in supervised classification. Further, we construct an algorithm to en...
LWA
2008
13 years 5 months ago
2008
Weighted voting is the commonly used strategy for combining predictions in pairwise classification. Even though it shows excellent performance in practice, it is often criticized ...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
In this paper, we study false-name manipulations in weighted voting games. Weighted voting is a well-known model of cooperation among agents in decision-making domains. In such ga...
FLAIRS
2008
13 years 6 months ago
2008
The standard kNN algorithm suffers from two major drawbacks: sensitivity to the parameter value k, i.e., the number of neighbors, and the use of k as a global constant that is ind...
GECCO
2004
Springer
13 years 9 months ago
2004
Springer
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
IJCNLP
2005
Springer
13 years 9 months ago
2005
Springer
Abstract. This paper proposes an approach to improve statistical word alignment with ensemble methods. Two ensemble methods are investigated: bagging and cross-validation committee...