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JITE
2008
54views more  JITE 2008»
13 years 7 months ago
Examining the Effects of Technology Attributes on Learning: A Contingency Perspective
Jennifer A. Nicholson, Darren B. Nicholson, Joseph...
CVIU
2011
12 years 11 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
14 years 29 days ago
On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources
Machine learning techniques for data extraction from semistructured sources exhibit different precision and recall characteristics. However to date the formal relationship between...
Guizhen Yang, Saikat Mukherjee, I. V. Ramakrishnan
IDA
2009
Springer
13 years 5 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo