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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 6 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 6 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 6 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
16 years 6 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
CHI
2005
ACM
16 years 6 months ago
Children's and adults' multimodal interaction with 2D conversational agents
Few systems combine both Embodied Conversational Agents (ECAs) and multimodal input. This research aims at modeling the behavior of adults and children during their multimodal int...
Jean-Claude Martin, Stéphanie Buisine
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