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» Learning Classifiers from Semantically Heterogeneous Data
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BMCBI
2006
165views more  BMCBI 2006»
13 years 8 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
AIRWEB
2008
Springer
13 years 10 months ago
The anti-social tagger: detecting spam in social bookmarking systems
The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spam...
Beate Krause, Christoph Schmitz, Andreas Hotho, Ge...
BIRD
2007
Springer
14 years 19 days ago
An Evaluation of Text Retrieval Methods for Similarity Search of Multi-dimensional NMR-Spectra
Abstract. Searching and mining nuclear magnetic resonance (NMR)spectra of naturally occurring substances is an important task to investigate new potentially useful chemical compoun...
Alexander Hinneburg, Andrea Porzel, Karina Wolfram
BMCBI
2008
108views more  BMCBI 2008»
13 years 8 months ago
An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance
Background: Motif finding algorithms have developed in their ability to use computationally efficient methods to detect patterns in biological sequences. However the posterior cla...
Ana C. Casimiro, Susana Vinga, Ana T. Freitas, Arl...
ICIP
2003
IEEE
14 years 10 months ago
Evaluation strategies for automatic linguistic indexing of pictures
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
James Ze Wang, Jia Li, Sui Ching Lin