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ICML
2005
IEEE
16 years 8 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
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
16 years 8 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
16 years 2 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
RR
2009
Springer
16 years 2 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
SEMWEB
2009
Springer
16 years 2 months ago
Parallel Materialization of the Finite RDFS Closure for Hundreds of Millions of Triples
In this paper, we consider the problem of materializing the complete finite RDFS closure in a scalable manner; this includes those parts of the RDFS closure that are often ignored...
Jesse Weaver, James A. Hendler