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IJAR
2008
119views more  IJAR 2008»
15 years 1 months ago
Adapting Bayes network structures to non-stationary domains
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Søren Holbech Nielsen, Thomas D. Nielsen
ICASSP
2011
IEEE
14 years 5 months ago
Content preference estimation in online social networks: Message passing versus sparse reconstruction on graphs
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
Jacob Chakareski
ICALT
2003
IEEE
15 years 7 months ago
Using Gestures to Learn about Graphs: The Contribution of Multimodal Technology
This paper describes a study that investigates the use of a multimodal technology in a learning task. In relation to the recent interest in learning as a multimodal experience, th...
Stamatina Anastopoulou, Mike Sharples, Chris Baber
NAACL
2007
15 years 3 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
AI
2010
Springer
15 years 2 months ago
Optimal query complexity bounds for finding graphs
We consider the problem of finding an unknown graph by using two types of queries with an additive property. Given a graph, an additive query asks the number of edges in a set of ...
Sung-Soon Choi, Jeong Han Kim