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» Classifier Selection Based on Data Complexity Measures
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ACMSE
2005
ACM
15 years 7 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 5 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
NIPS
2007
15 years 3 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
ICDE
2002
IEEE
153views Database» more  ICDE 2002»
16 years 3 months ago
From XML Schema to Relations: A Cost-Based Approach to XML Storage
As Web applications manipulate an increasing amount of XML, there is a growing interest in storing XML data in relational databases. Due to the mismatch between the complexity of ...
Jérôme Siméon, Juliana Freire,...
ENC
2004
IEEE
15 years 5 months ago
A New Cache Approach Based on Graph for Web Servers
This article deals with the problem of data cache for dynamic web servers. A set of requests (which number could be large) is submitted to a server for computing. Every request is...
Euloge Edi, Denis Trystram, Jean-Marc Vincent