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IJCNN
2007
IEEE
14 years 4 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
14 years 3 months ago
Dynamic Integration of Classifiers in the Space of Principal Components
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...
SEMCO
2007
IEEE
14 years 4 months ago
Ontology Evaluation and Ranking using OntoQA
Ontologies form the cornerstone of the Semantic Web and are intended to help researchers to analyze and share knowledge, and as more ontologies are being introduced, it is difficu...
Samir Tartir, I. Budak Arpinar
NAACL
2010
13 years 8 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
IEEEICCI
2009
IEEE
14 years 4 months ago
Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease
The OpenBiomind toolkit is used to apply GA, GP and local search methods to analyze a large SNP dataset concerning late-onset Alzheimers disease (LOAD). Classification models iden...
Lúcio de Souza Coelho, Ben Goertzel, Cassio...