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JMLR
2010
175views more  JMLR 2010»
15 years 1 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
ITNG
2006
IEEE
16 years 10 days ago
A Study of Self-Organizing Map in Interactive Relevance Feedback
With the vast amount of potential relevant documents on the Web, a key question for a retrieval system is how to achieve a high accuracy retrieval under current Web setting. The w...
Daqing He
WSDM
2012
ACM
329views Data Mining» more  WSDM 2012»
14 years 1 months ago
Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data
A prerequisite for leveraging the vast amount of data available on the Web is Entity Resolution, i.e., the process of identifying and linking data that describe the same real-worl...
George Papadakis, Ekaterini Ioannou, Claudia Niede...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 6 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
ICEBE
2007
IEEE
79views Business» more  ICEBE 2007»
16 years 19 days ago
Partition-based Profit Optimisation for Multi-class Requests in Clusters of Servers
This paper investigates profit optimisation by the partitioning of server pools. Different types of web requests are considered in this paper: best-effort requests and multi-class...
Ligang He, James Wen Jun Xue, Stephen A. Jarvis