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97
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TFS
2008
117views more  TFS 2008»
15 years 1 months ago
A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering
Abstract--This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzz...
Samia Nefti, Mourad Oussalah, Uzay Kaymak
105
Voted
AI
2000
Springer
15 years 5 months ago
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
Abstract. Today’s case based reasoning applications face several challenges. In a typical application, the case bases grow at a very fast rate and their contents become increasin...
Qiang Yang, Jing Wu
147
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SIGIR
2012
ACM
13 years 3 months ago
Utilizing inter-document similarities in federated search
We demonstrate the merits of using inter-document similarities for federated search. Specifically, we study a resultsmerging method that utilizes information induced from cluster...
Savva Khalaman, Oren Kurland
79
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ICIP
2000
IEEE
16 years 2 months ago
Clustered Component Analysis for FMRI Signal Estimation and Classification
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
Charles A. Bouman, Sea Chen, Mark J. Lowe
124
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ADL
2000
Springer
265views Digital Library» more  ADL 2000»
15 years 5 months ago
Clustering and Identifying Temporal Trends in Document Databases
We introduce a simple and efficient method for clustering and identifying temporal trends in hyper-linked document databases. Our method can scale to large datasets because it ex...
Alexandrin Popescul, Gary William Flake, Steve Law...