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» An overview of clustering methods
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AAAI
2004
15 years 2 months ago
Distributed Representation of Syntactic Structure by Tensor Product Representation and Non-Linear Compression
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
Heidi H. T. Yeung, Peter W. M. Tsang
ECIR
2006
Springer
15 years 2 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov
86
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DMDW
2000
121views Management» more  DMDW 2000»
15 years 2 months ago
From enterprise models to dimensional models: a methodology for data warehouse and data mart design
This paper describes a method for developing dimensional models from traditional Entity Relationship models. This can be used to design data warehouses and data marts based on ent...
Daniel L. Moody, Mark A. R. Kortink
103
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SBBD
2000
168views Database» more  SBBD 2000»
15 years 1 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
78
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ACL
1993
15 years 1 months ago
Contextual Word Similarity and Estimation from Sparse Data
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence within a limited context. This paper discusses ho...
Ido Dagan, Shaul Marcus, Shaul Markovitch