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GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
15 years 9 months ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
15 years 9 months ago
Towards drift correction in chemical sensors using an evolutionary strategy
Gas chemical sensors are strongly affected by the so-called drift, i.e., changes in sensors’ response caused by poisoning and aging that may significantly spoil the measures g...
Stephano Di Carlo, Ernesto Sánchez, Alberto...
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MCS
2010
Springer
15 years 9 months ago
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction
Abstract. The computational genome-wide annotation of gene functions requires the prediction of hierarchically structured functional classes and can be formalized as a multiclass, ...
Matteo Re, Giorgio Valentini
GIS
2009
ACM
15 years 9 months ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson
MCS
2009
Springer
15 years 9 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar