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» Structural Inference for Semistructured Data
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ICML
2005
IEEE
16 years 4 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
RR
2009
Springer
15 years 9 months ago
Distributed Resolution for Expressive Ontology Networks
Abstract. The Semantic Web is commonly perceived as a web of partially interlinked machine readable data. This data is inherently distributed and resembles the structure of the web...
Anne Schlicht, Heiner Stuckenschmidt
111
Voted
WWW
2008
ACM
16 years 3 months ago
Measuring extremal dependencies in web graphs
We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
Yana Volkovich, Nelly Litvak, Bert Zwart
PAMI
2011
14 years 10 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
SIGMOD
2007
ACM
188views Database» more  SIGMOD 2007»
16 years 3 months ago
Intel Mash Maker: join the web
Intel? Mash Maker is an interactive tool that tracks what the user is doing and tries to infer what information and visualizations they might find useful for their current task. M...
Robert Ennals, Eric A. Brewer, Minos N. Garofalaki...