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ANLP
1994
80views more  ANLP 1994»
15 years 8 months ago
Improving Language Models by Clustering Training Sentences
Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be address...
David M. Carter
DATAMINE
2006
157views more  DATAMINE 2006»
15 years 6 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz
200
Voted
FGCS
2007
89views more  FGCS 2007»
15 years 6 months ago
Federated grid clusters using service address routed optical networks
Clusters of computers have emerged as cost-effective parallel and/or distributed computing systems for computationally intensive tasks. Normally, clusters are composed of high per...
Isaac D. Scherson, Daniel S. Valencia, Enrique Cau...
PR
2006
122views more  PR 2006»
15 years 6 months ago
Fast multiscale clustering and manifold identification
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Dan Kushnir, Meirav Galun, Achi Brandt
PKDD
2010
Springer
141views Data Mining» more  PKDD 2010»
15 years 4 months ago
On Detecting Clustered Anomalies Using SCiForest
Detecting local clustered anomalies is an intricate problem for many existing anomaly detection methods. Distance-based and density-based methods are inherently restricted by their...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou