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ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 years 8 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
INFOCOM
2006
IEEE
14 years 4 months ago
A Comparative Study of the DNS Design with DHT-Based Alternatives
— The current Domain Name System (DNS) follows a hierarchical tree structure. Several recent efforts proposed to re-implement DNS as a peer-to-peer network with a flat structure...
Vasileios Pappas, Daniel Massey, Andreas Terzis, L...
GECCO
2003
Springer
14 years 3 months ago
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenb...
DL
2000
Springer
164views Digital Library» more  DL 2000»
14 years 2 months ago
Scalable browsing for large collections: a case study
Phrase browsing techniques use phrases extracted automatically from a large information collection as a basis for browsing and accessing it. This paper describes a case study that...
Gordon W. Paynter, Ian H. Witten, Sally Jo Cunning...
ACL
2008
13 years 11 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen