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» Learning Classifiers from Semantically Heterogeneous Data
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ICONIP
2010
13 years 4 months ago
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer
Recently, some non-coding small RNAs, known as microRNAs (miRNA), have drawn a lot of attention to identify their role in gene regulation and various biological processes. The miRN...
Kyung-Joong Kim, Sung-Bae Cho
BIRTHDAY
2008
Springer
13 years 9 months ago
A Heterogeneous Approach to UML Semantics
Abstract. UML models consist of several diagrams of different types describing different views of a software system ranging from specifications of the static system structure to de...
María Victoria Cengarle, Alexander Knapp, A...
WISE
2009
Springer
14 years 4 months ago
Web Queries: From a Web of Data to a Semantic Web
ct One significant effort towards combining the virtues of Web search, viz. being accessible to untrained users and able to cope with vastly heterogeneous data, with those of dat...
François Bry, Tim Furche, Klara A. Weiand
BMCBI
2010
182views more  BMCBI 2010»
13 years 7 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
BMCBI
2007
154views more  BMCBI 2007»
13 years 7 months ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato