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» On Inferences of Full Hierarchical Dependencies
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ACSC
2007
IEEE
9 years 6 months ago
On Inferences of Full Hierarchical Dependencies
Full hierarchical dependencies (FHDs) constitute a large class of relational dependencies. A relation exhibits an FHD precisely when it can be decomposed into at least two of its ...
Sven Hartmann, Sebastian Link
WOLLIC
2009
Springer
9 years 6 months ago
Spoilt for Choice: Full First-Order Hierarchical Decompositions
Abstract. Database design aims to find a database schema that permits the efficient processing of common types of queries and updates on future database instances. Full first-ord...
Sebastian Link
ICML
2010
IEEE
9 years 27 days ago
Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
Nicholas Bartlett, David Pfau, Frank Wood
NAACL
2010
8 years 9 months ago
Relaxed Marginal Inference and its Application to Dependency Parsing
Recently, relaxation approaches have been successfully used for MAP inference on NLP problems. In this work we show how to extend the relaxation approach to marginal inference use...
Sebastian Riedel, David A. Smith
JCB
2007
198views more  JCB 2007»
8 years 11 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
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