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ISPA
2007
Springer
14 years 4 months ago
Learning Fuzzy Concept Hierarchy and Measurement with Node Labeling
A concept hierarchy is a kind of general form of knowledge representation. Most of the previous researches on describing the concept hierarchy use tree-like crisp taxonomy. However...
Been-Chian Chien, Chih-Hung Hu, Ming-Yi Ju
AAAI
2007
14 years 29 days ago
Measuring the Uncertainty of Differences for Contrasting Groups
: In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can de...
Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong...
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 5 months ago
Multi-robot SLAM using M-Space feature representation
This paper presents a SLAM algorithm for a team of mobile robots exploring an indoor environment, described by adopting the M-Space representation of linear features. Each robot so...
Daniele Benedettelli, Andrea Garulli, Antonio Gian...
HICSS
2002
IEEE
127views Biometrics» more  HICSS 2002»
14 years 3 months ago
What Does It Mean for an Organisation to Be Intelligent? Measuring Intellectual Bandwidth for Value Creation
The importance of electronic collaboration has risen as successful organisations recognize that they need to convert their intellectual resources into goods and services their cus...
Sajda Qureshi, Andries van der Vaart, Gijs Kauling...
DIS
2006
Springer
14 years 18 days ago
Interesting Patterns Extraction Using Prior Knowledge
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity ...
Laurent Brisson