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IJCNN
2000
IEEE
14 years 13 days ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama
JAR
2002
72views more  JAR 2002»
13 years 8 months ago
Partial Instantiation Methods for Inference in First-Order Logic
Satisfiability algorithms for propositional logic have improved enormously in recently years. This improvement increases the attractiveness of satisfiability methods for first-orde...
John N. Hooker, G. Rago, V. Chandru, A. Shrivastav...
COCOON
2007
Springer
14 years 3 months ago
Seed-Based Exclusion Method for Non-coding RNA Gene Search
Given an RNA family characterized by conserved sequences and folding constraints, the problem is to search for all the instances of the RNA family in a genomic database. As seed-ba...
Jean-Eudes Duchesne, Mathieu Giraud, Nadia El-Mabr...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
14 years 6 months ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
VCIP
2003
129views Communications» more  VCIP 2003»
13 years 10 months ago
Fast method of segmentation and indexing MPEG1-2 flow
Multimedia data accessibility depends on a precise indexing, involving a computational cost. This paper proposes a new fast method of segmentation and indexing in order to fill o...
Lionel Brunel, Pierre Mathieu