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» Improving Cause Detection Systems with Active Learning
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EKAW
2008
Springer
14 years 11 months ago
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
Abstract. Dealing with heterogeneous ontologies by means of semantic mappings has become an important area of research and a number of systems for discovering mappings between onto...
Christian Meilicke, Johanna Völker, Heiner St...
BMCBI
2008
166views more  BMCBI 2008»
14 years 10 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
SIGCSE
2006
ACM
150views Education» more  SIGCSE 2006»
15 years 3 months ago
Pedagogical techniques supported by the use of student devices in teaching software engineering
This paper describes our experiences in promoting a learning environment where active student involvement and interaction, as well as openness to diversity of ideas are supported ...
Valentin Razmov, Richard J. Anderson
WWW
2008
ACM
15 years 10 months ago
Enhanced hierarchical classification via isotonic smoothing
Hierarchical topic taxonomies have proliferated on the World Wide Web [5, 18], and exploiting the output space decompositions they induce in automated classification systems is an...
Kunal Punera, Joydeep Ghosh
DPD
2002
125views more  DPD 2002»
14 years 9 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung