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» Experimental Design for Variable Selection in Data Bases
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PSD
2010
Springer
109views Database» more  PSD 2010»
15 years 5 months ago
A Tool for Analyzing and Fixing Infeasible RCTA Instances
Minimum-distance controlled tabular adjustment methods (CTA), and its restricted variants (RCTA), is a recent perturbative approach for tabular data protection. Given a table to be...
Jordi Castro, José A. González
MSWIM
2006
ACM
16 years 16 days ago
Analysis of soft handover measurements in 3G network
A neural network based clustering method for the analysis of soft handovers in 3G network is introduced. The method is highly visual and it could be utilized in explorative analys...
Kimmo Raivio
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
SENSYS
2005
ACM
16 years 4 days ago
Data collection, storage, and retrieval with an underwater sensor network
In this paper we present a novel platform for underwater sensor networks to be used for long-term monitoring of coral reefs and fisheries. The sensor network consists of static a...
Iuliu Vasilescu, Keith Kotay, Daniela Rus, Matthew...
PPSN
2004
Springer
15 years 12 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke