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PRL
2006
106views more  PRL 2006»
15 years 3 months ago
Invariances in kernel methods: From samples to objects
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
Alexei Pozdnoukhov, Samy Bengio
KCAP
2009
ACM
15 years 9 months ago
Overview of a semantic disambiguation method for unstructured web contexts
In this paper we give an overview of a multiontology disambiguation method, targeted to discover the intended meaning of words in unstructured web contexts. It receives an ambiguo...
Jorge Gracia, Eduardo Mena
BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
174
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BMCBI
2004
169views more  BMCBI 2004»
15 years 3 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
OIR
2010
101views more  OIR 2010»
15 years 1 months ago
Supporting information access in e-learning by integrating digital libraries and ontology
Purpose – The purpose of this paper is to examine the integration of digital library (DL) technologies with ontology-based knowledge representation in providing semantic rich in...
Daqing He, Yefei Peng, Ming Mao, Dan Wu