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» Kernel-based relation extraction from investigative data
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156
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CLA
2004
15 years 5 months ago
A Semi-automatic Method to Ontology Design by Using FCA
Ontology design is a complex and time-consuming process. It is extremely difficult for human experts to discover ontology from given data or texts. This paper presents a semi-autom...
Hele-Mai Haav
CLA
2006
15 years 5 months ago
First Elements on Knowledge Discovery Guided by Domain Knowledge (KDDK)
In this paper, we present research trends carried out in the Orpailleur team at loria, showing how knowledge discovery and knowledge processing may be combined. The knowledge disco...
Jean Lieber, Amedeo Napoli, Laszlo Szathmary, Yann...
TNN
2008
119views more  TNN 2008»
15 years 3 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
105
Voted
VLDB
1995
ACM
135views Database» more  VLDB 1995»
15 years 7 months ago
Sampling-Based Estimation of the Number of Distinct Values of an Attribute
We provide several new sampling-based estimators of the number of distinct values of an attribute in a relation. We compare these new estimators to estimators from the database an...
Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, L...
147
Voted
IANDC
2011
84views more  IANDC 2011»
14 years 11 months ago
Teaching randomized learners with feedback
The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the influence of...
Frank J. Balbach, Thomas Zeugmann