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SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
14 years 15 days ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
77
Voted
PAMI
2010
103views more  PAMI 2010»
14 years 8 months ago
The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph
—This work introduces a link-based covariance measure between the nodes of a weighted directed graph where a cost is associated to each arc. To this end, a probability distributi...
Amin Mantrach, Luh Yen, Jérôme Callut...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 2 days ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
81
Voted
NIPS
2007
14 years 11 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
84
Voted
CSFW
2005
IEEE
15 years 3 months ago
Achieving Information Flow Security through Precise Control of Effects
This paper advocates a novel approach to the construction of secure software: controlling information flow and maintaining integrity via monadic encapsulation of effects. This ap...
William L. Harrison, James Hook