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» Learning Classifiers from Semantically Heterogeneous Data
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NN
2006
Springer
13 years 10 months ago
Machine learning in soil classification
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
Biswanath Bhattacharya, Dimitri P. Solomatine
AAAI
2006
13 years 11 months ago
Multiclass Support Vector Machines for Articulatory Feature Classification
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
Brian Hutchinson, Jianna Zhang
DEXA
2004
Springer
79views Database» more  DEXA 2004»
14 years 3 months ago
Querying Distributed Data in a Super-Peer Based Architecture
Data integration is a significant challenge: relevant data objects are split across multiple information sources, and often owned by different organizations. The sources represent...
Zohra Bellahsene, Mark Roantree
DELFI
2006
13 years 11 months ago
Mobile Learning is Coming of Age - What we have and what we still miss
: Mobile learning has left the status of a new born child. It is time now to implement some structure into the complex and various activities by a framework presented in this paper...
Dirk Frohberg
DASFAA
2007
IEEE
183views Database» more  DASFAA 2007»
14 years 4 months ago
BioDIFF: An Effective Fast Change Detection Algorithm for Biological Annotations
Abstract. Warehousing heterogeneous, dynamic biological data is a key technique for biological data integration as it greatly improves performance. However, it requires complex mai...
Yang Song, Sourav S. Bhowmick, C. Forbes Dewey