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» Clustering-Based K-Anonymisation Algorithms
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COLT
2003
Springer
15 years 2 months ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri
87
Voted
EMNLP
2008
14 years 11 months ago
Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...
Ananlada Chotimongkol, Alexander I. Rudnicky
NIPS
2001
14 years 11 months ago
Constructing Distributed Representations Using Additive Clustering
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...
Wheeler Ruml
CLEF
2010
Springer
14 years 10 months ago
DAEDALUS at WebPS-3 2010: k-Medoids Clustering Using a Cost Function Minimization
This paper describes the participation of DAEDALUS team at the WebPS-3 Task 1, regarding Web People Search. The focus of our research is to evaluate and compare the computational r...
Sara Lana-Serrano, Julio Villena-Román, Jos...
TKDE
2008
115views more  TKDE 2008»
14 years 9 months ago
Time-Aware Web Users' Clustering
Web users clustering is a crucial task for mining information related to users needs and preferences. Up to now, popular clustering approaches build clusters based on usage pattern...
Sophia G. Petridou, Vassiliki A. Koutsonikola, Ath...