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BIODATAMINING
2008
135views more  BIODATAMINING 2008»
13 years 7 months ago
Fast Gene Ontology based clustering for microarray experiments
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
ILP
2007
Springer
14 years 1 months ago
Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases
Several activities related to semantically annotated resources can be enabled by a notion of similarity, spanning from clustering to retrieval, matchmaking and other forms of induc...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
CHI
2008
ACM
14 years 8 months ago
AutoCardSorter: designing the information architecture of a web site using latent semantic analysis
In this paper, we describe an innovative tool that supports the design and evaluation of the information architecture of a Web site. The tool uses Latent Semantic Analysis and hie...
Christos Katsanos, Nikolaos K. Tselios, Nikolaos M...
LREC
2008
111views Education» more  LREC 2008»
13 years 9 months ago
Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database
The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such ...
Paula Cristina Vaz, David Martins de Matos, Nuno J...
EMNLP
2010
13 years 5 months ago
Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
Longhua Qian, Guodong Zhou