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CICLING
2007
Springer
16 years 21 days ago
Clustering Narrow-Domain Short Texts by Using the Kullback-Leibler Distance
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...
David Pinto, José-Miguel Benedí, Pao...
ACL
1997
15 years 7 months ago
Document Classification Using a Finite Mixture Model
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
Hang Li, Kenji Yamanishi
NIPS
2000
15 years 7 months ago
A Silicon Primitive for Competitive Learning
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
David Hsu, Miguel Figueroa, Chris Diorio
IPCCC
2007
IEEE
16 years 25 days ago
Scalable and Decentralized Content-Aware Dispatching in Web Clusters
— In this paper, we propose a novel and efficient content-aware dispatching algorithm. Our approach eliminates the potential bottleneck and the single point of failure problems ...
Zhiyong Xu, Jizhong Han, Laxmi N. Bhuyan
IDA
2007
Springer
15 years 6 months ago
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...
Simone Garatti, Sergio Bittanti, Diego Liberati, A...