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» Extraction of fuzzy rules from support vector machines
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124
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BMCBI
2007
207views more  BMCBI 2007»
14 years 11 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
EMNLP
2009
14 years 9 months ago
A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...
Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...
95
Voted
MM
2003
ACM
111views Multimedia» more  MM 2003»
15 years 4 months ago
A robust dissolve detector by support vector machine
In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representati...
Chong-Wah Ngo
SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
15 years 1 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley
ICPR
2006
IEEE
15 years 5 months ago
An Improved Semi-Supervised Support Vector Machine Based Translation Algorithm for BCI Systems
In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
Jianzhao Qin, Yuanqing Li