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» Network Structuring and Training Using Rule-Based Knowledge
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LREC
2008
90views Education» more  LREC 2008»
14 years 11 months ago
A Text-based Query Interface to OWL Ontologies
Accessing structured data in the form of ontologies requires training and learning formal query languages (e.g., SeRQL or SPARQL) which poses significant difficulties for non-expe...
Danica Damljanovic, Valentin Tablan, Kalina Bontch...
NIPS
2008
14 years 11 months ago
Deep Learning with Kernel Regularization for Visual Recognition
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
Kai Yu, Wei Xu, Yihong Gong
BMCBI
2010
214views more  BMCBI 2010»
14 years 9 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
FORTE
2011
14 years 1 months ago
A Framework for Verifying Data-Centric Protocols
Abstract. Data centric languages, such as recursive rule based languages, have been proposed to program distributed applications over networks. They simplify greatly the code, whic...
Yuxin Deng, Stéphane Grumbach, Jean-Fran&cc...
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ICTAI
2009
IEEE
15 years 4 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung