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137
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ICDE
2011
IEEE
258views Database» more  ICDE 2011»
14 years 5 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
ACL
1998
15 years 3 months ago
Automatic Retrieval and Clustering of Similar Words
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
Dekang Lin
110
Voted
CORR
1999
Springer
81views Education» more  CORR 1999»
15 years 1 months ago
Inducing a Semantically Annotated Lexicon via EM-Based Clustering
We present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation...
Mats Rooth, Stefan Riezler, Detlef Prescher, Glenn...
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
15 years 8 months ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
HAIS
2009
Springer
15 years 6 months ago
Multiobjective Evolutionary Clustering Approach to Security Vulnerability Assesments
Network vulnerability assessments collect large amounts of data to be further analyzed by security experts. Data mining and, particularly, unsupervised learning can help experts an...
Guiomar Corral, A. Garcia-Piquer, Albert Orriols-P...