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ICDM
2010
IEEE
198views Data Mining» more  ICDM 2010»
15 years 1 months ago
Hierarchical Ensemble Clustering
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
Li Zheng, Tao Li, Chris H. Q. Ding
ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 3 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
CSCW
2011
ACM
14 years 10 months ago
Organizational acculturation and social networking
For large global enterprises, providing adequate resources for organizational acculturation, the process in which employees learn about an organization’s culture, remains a chal...
Jennifer Thom-Santelli, David R. Millen, Darren Ge...
CSEE
2007
Springer
15 years 9 months ago
Educational Approach to an Experiment in a Software Architecture Course
This paper reports experiences from an experiment in a software architecture course where the focus was both on giving students valuable education as well as getting important emp...
Alf Inge Wang, Erik Arisholm, Maria Letizia Jacche...
ICCBR
2007
Springer
15 years 9 months ago
Label Ranking in Case-Based Reasoning
The problem of label ranking has recently been introduced as an extension of conventional classification in the field of machine learning. In this paper, we argue that label ran...
Klaus Brinker, Eyke Hüllermeier