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» Hierarchical Pre-Segmentation without Prior Knowledge
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CIKM
2004
Springer
13 years 10 months ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann
BMCBI
2010
138views more  BMCBI 2010»
13 years 5 months ago
A model-independent approach to infer hierarchical codon substitution dynamics
Background: Codon substitution constitutes a fundamental process in molecular biology that has been studied extensively. However, prior studies rely on various assumptions, e.g. r...
Olof Görnerup, Martin Nilsson Jacobi
ICC
2008
IEEE
126views Communications» more  ICC 2008»
13 years 11 months ago
Discovering Packet Structure through Lightweight Hierarchical Clustering
— The complexity of current Internet applications makes the understanding of network traffic a challenging task. By providing larger-scale aggregates for analysis, unsupervised ...
Abdulrahman Hijazi, Hajime Inoue, Ashraf Matrawy, ...
FAST
2011
12 years 8 months ago
Just-in-Time Analytics on Large File Systems
As file systems reach the petabytes scale, users and administrators are increasingly interested in acquiring highlevel analytical information for file management and analysis. T...
H. Howie Huang, Nan Zhang 0004, Wei Wang, Gautam D...
NOMS
2010
IEEE
251views Communications» more  NOMS 2010»
13 years 3 months ago
Online detection of utility cloud anomalies using metric distributions
—The online detection of anomalies is a vital element of operations in data centers and in utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with th...
Chengwei Wang, Vanish Talwar, Karsten Schwan, Part...