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ICDE
2008
IEEE
118views Database» more  ICDE 2008»
14 years 10 months ago
k-Anonymization Revisited
In this paper we introduce new notions of k-type anonymizations. Those notions achieve similar privacy goals as those aimed by Sweenie and Samarati when proposing the concept of k-...
Aristides Gionis, Arnon Mazza, Tamir Tassa
IJCAI
2007
13 years 10 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
MTA
2010
175views more  MTA 2010»
13 years 7 months ago
Automatic summarization of rushes video using bipartite graphs
In this paper we present a new approach for automatic summarization of rushes video. Our approach is composed of three main steps. First, based on a temporal segmentation, we filte...
Liang Bai, Yan-Li Hu, Songyang Lao, Alan F. Smeato...
ICML
2001
IEEE
14 years 9 months ago
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
Bianca Zadrozny, Charles Elkan
RSCTC
2000
Springer
151views Fuzzy Logic» more  RSCTC 2000»
14 years 6 days ago
Anytime Algorithm for Feature Selection
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...