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ECAI
2004
Springer
16 years 6 days ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
HSNMC
2004
Springer
108views Multimedia» more  HSNMC 2004»
16 years 6 days ago
Improving the Performance of TCP in the Case of Packet Reordering
Abstract. Numerous studies have shown that packet reordering is common, especially in high speed networks where there is high degree of parallelism and different link speeds. Reor...
Arjuna Sathiaseelan, Tomasz Radzik
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
16 years 3 days ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
ISCAS
2003
IEEE
124views Hardware» more  ISCAS 2003»
16 years 3 days ago
Improving the filter bank of a classic speech feature extraction algorithm
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
Mark D. Skowronski, John G. Harris
175
Voted
ACNS
2003
Springer
129views Cryptology» more  ACNS 2003»
16 years 1 days ago
Using Feedback to Improve Masquerade Detection
Abstract. To gain access to account privileges, an intruder masquerades as the proper account user. Information from user feedback helps to improve the accuracy of classifiers use...
Kwong H. Yung