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ICML
2007
IEEE
16 years 7 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
TR
2010
126views Hardware» more  TR 2010»
15 years 1 months ago
Approximating a Loading-Dependent Cascading Failure Model With a Branching Process
Abstract--We quantify the closeness of the approximation between two high-level probabilistic models of cascading failure. In one model called CASCADE, failing components successiv...
Janghoon Kim, Ian Dobson
CEC
2009
IEEE
15 years 11 months ago
A novel EDAs based method for HP model protein folding
— The protein structure prediction (PSP) problem is one of the most important problems in computational biology. This paper proposes a novel Estimation of Distribution Algorithms...
Benhui Chen, Long Li, Jinglu Hu
EMNLP
2011
14 years 6 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
ICDE
2007
IEEE
113views Database» more  ICDE 2007»
16 years 1 months ago
Ranking Query Results using Context-Aware Preferences
To better serve users’ information needs without requiring comprehensive queries from users, a simple yet effective technique is to explore the preferences of users. Since these...
Arthur H. van Bunningen, Maarten M. Fokkinga, Pete...