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» On Kernel Methods for Relational Learning
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JMLR
2010
125views more  JMLR 2010»
14 years 10 months ago
Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation
In this paper, we consider the asymptotic form of the generalization error for the restricted Boltzmann machine in Bayesian estimation. It has been shown that obtaining the maximu...
Miki Aoyagi
ICMLA
2009
15 years 1 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
NIPS
2008
15 years 5 months ago
Clustered Multi-Task Learning: A Convex Formulation
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...
Laurent Jacob, Francis Bach, Jean-Philippe Vert
JMLR
2002
138views more  JMLR 2002»
15 years 3 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
BMCBI
2002
110views more  BMCBI 2002»
15 years 3 months ago
Identifying functional relationships among human genes by systematic analysis of biological literature
Background: The availability of biomedical literature in electronic format has made it possible to implement automatic text processing methods to expose implicit relationships amo...
Yong-Chuan Tao, Rudolph L. Leibel