Sciweavers

1425 search results - page 173 / 285
» Similarity measures for multidimensional data
Sort
View
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 5 months ago
Semi-supervised Multi-label Learning by Solving a Sylvester Equation
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 2 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
13 years 6 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
ICPR
2006
IEEE
16 years 5 months ago
The Twin Towers Cluster in Torah Codes
In this paper we describe a Torah Code experiment which: ? Focuses on a famous contemporary event. ? Has a simple and explicit data collection. ? Has considerably simpler measurem...
Eliyahu Rips, Art Levitt
LREC
2008
120views Education» more  LREC 2008»
15 years 5 months ago
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
Hiroyuki Shinnou, Minoru Sasaki