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» Generating from a Deep Structure
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85
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DBPL
1993
Springer
95views Database» more  DBPL 1993»
15 years 3 months ago
A Moose and a Fox Can Aid Scientists with Data Management Problems
Fox Finding Objects of eXperiments is the declarative query language for Moose Modeling Objects Of Scienti c Experiments, an object-oriented data model at the core of a scient...
Janet L. Wiener, Yannis E. Ioannidis
91
Voted
ICML
2008
IEEE
15 years 11 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
104
Voted
BMCBI
2010
214views more  BMCBI 2010»
14 years 11 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
IPPS
1998
IEEE
15 years 3 months ago
Memory Hierarchy Management for Iterative Graph Structures
The increasing gap in processor and memory speeds has forced microprocessors to rely on deep cache hierarchies to keep the processors from starving for data. For many applications...
Ibraheem Al-Furaih, Sanjay Ranka
ACL
2009
14 years 8 months ago
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
This paper presents an unsupervised relation extraction method for discovering and enhancing relations in which a specified concept in Wikipedia participates. Using respective cha...
Yulan Yan, Naoaki Okazaki, Yutaka Matsuo, Zhenglu ...