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» Combining Discriminant Models with New Multi-Class SVMs
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ICPR
2008
IEEE
14 years 8 months ago
Multi-class classification strategies for Fisher scores of gesture and sign sequences
In this work, we propose a multi-class classification strategy based on Fisher kernels. Fisher kernels combine the powers of discriminative and generative classifiers by mapping v...
Lale Akarun, Oya Aran
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 1 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
BMCBI
2010
201views more  BMCBI 2010»
13 years 4 months ago
IntelliGO: a new vector-based semantic similarity measure including annotation origin
Background: The Gene Ontology (GO) is a well known controlled vocabulary describing the biological process, molecular function and cellular component aspects of gene annotation. I...
Sidahmed Benabderrahmane, Malika Smaïl-Tabbon...
ICDM
2008
IEEE
80views Data Mining» more  ICDM 2008»
14 years 1 months ago
Collective Latent Dirichlet Allocation
In this paper, we propose a new variant of Latent Dirichlet Allocation(LDA): Collective LDA (C-LDA), for multiple corpora modeling. C-LDA combines multiple corpora during learning...
Zhiyong Shen, Jun Sun, Yi-Dong Shen
BMCBI
2006
100views more  BMCBI 2006»
13 years 7 months ago
Using the nucleotide substitution rate matrix to detect horizontal gene transfer
Background: Horizontal gene transfer (HGT) has allowed bacteria to evolve many new capabilities. Because transferred genes perform many medically important functions, such as conf...
Micah Hamady, M. D. Betterton, Rob Knight