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» Learning and Inference in Massive Social Networks
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KDD
2007
ACM
198views Data Mining» more  KDD 2007»
14 years 6 months ago
Applying Link-Based Classification to Label Blogs
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...
Smriti Bhagat, Graham Cormode, Irina Rozenbaum
IUI
2004
ACM
13 years 11 months ago
Choosing when to interact with learners
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
Lei Qu, Ning Wang, W. Lewis Johnson
CVPR
2008
IEEE
14 years 8 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert
FLAIRS
2010
13 years 8 months ago
Meta-Prediction for Collective Classification
When data instances are inter-related, as are nodes in a social network or hyperlink graph, algorithms for collective classification (CC) can significantly improve accuracy. Recen...
Luke McDowell, Kalyan Moy Gupta, David W. Aha
MOBICOM
2006
ACM
14 years 6 days ago
Analysis and implications of student contact patterns derived from campus schedules
Characterizing mobility or contact patterns in a campus environment is of interest for a variety of reasons. Existing studies of these patterns can be classified into two basic a...
Vikram Srinivasan, Mehul Motani, Wei Tsang Ooi