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» Messy Genetic Algorithms for Subset Feature Selection
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SEMWEB
2010
Springer
13 years 5 months ago
Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources
Abstract. In order to effectively and quickly answer queries in environments with distributed RDF/OWL, we present a query optimization algorithm to identify the potentially relevan...
Yingjie Li, Jeff Heflin
AAMAS
2002
Springer
13 years 7 months ago
Stochastic Simulation of Inherited Kinship-Driven Altruism
The aim of this research is to assess the r^ole of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-...
Heather Turner, Dimitar Kazakov
FUZZIEEE
2007
IEEE
14 years 1 months ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen
EVOW
2004
Springer
14 years 23 days ago
Analysis of Proteomic Pattern Data for Cancer Detection
Abstract. In this paper we analyze two proteomic pattern datasets containing measurements from ovarian and prostate cancer samples. In particular, a linear and a quadratic support ...
Kees Jong, Elena Marchiori, Aad van der Vaart
KES
2007
Springer
13 years 7 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...