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» Representation and Reasoning with Attributive Descriptions
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KDD
1995
ACM
135views Data Mining» more  KDD 1995»
13 years 11 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
CHI
2008
ACM
14 years 7 months ago
Children attribute moral standing to a personified agent
This paper describes the results of a study conducted to answer two questions: (1) Do children generalize their understanding of distinctions between conventional and moral violat...
Nathan G. Freier
DLOG
2011
12 years 11 months ago
On the Problem of Weighted Max-DL-SAT and its Application to Image Labeling
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab
DLOG
2003
13 years 8 months ago
Applying Description Logic to Product Behavioral Design within Advanced CAD Systems
In this paper, we investigate the use of Description Logic (DL) for representing Product Behavioral constraints in Computer Aided Design (CAD) Systems. In an integrated design app...
François de Bertrand de Beuvron, Amadou Cou...
CIKM
1999
Springer
13 years 11 months ago
Binary String Relations: A Foundation for Spatiotemporal Knowledge Representation
The paper is concerned with the qualitative representation of spatiotemporal relations. We initially propose a multiresolution framework for the representation of relations among ...
Vasilis Delis, Thanasis Hadzilacos