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ISMIR
2004
Springer
95views Music» more  ISMIR 2004»
14 years 3 months ago
A multi-parametric and redundancy-filtering approach to pattern identification
This paper presents the principles of a new approach aimed at automatically discovering motivic patterns in monodies. It is shown that, for the results to agree with the listenerâ...
Olivier Lartillot
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 11 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
14 years 1 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
KES
2005
Springer
14 years 3 months ago
Generalized Composite Motif Discovery
This paper discusses a general algorithm for the discovery of motif combinations. From a large number of input motifs, discovered by any single motif discovery tool, our algorithm ...
Geir Kjetil Sandve, Finn Drabløs
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 10 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...