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KDD
2010
ACM
287views Data Mining» more  KDD 2010»
14 years 11 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
CLUSTER
2003
IEEE
15 years 2 months ago
Performance Evaluation of Routing Algorithms in RHiNET-2 Cluster
Michihiro Koibuchi, Konosuke Watanabe, Kenichi Kon...
92
Voted
CSIE
2009
IEEE
15 years 4 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
IMCSIT
2010
14 years 6 months ago
Evaluation of Clustering Algorithms for Polish Word Sense Disambiguation
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
Bartosz Broda, Wojciech Mazur
EMNLP
2007
14 years 11 months ago
V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure
We present V-measure, an external entropybased cluster evaluation measure. Vmeasure provides an elegant solution to many problems that affect previously defined cluster evaluatio...
Andrew Rosenberg, Julia Hirschberg