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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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ICML
2007
IEEE
16 years 5 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
CEC
2009
IEEE
15 years 8 months ago
A model for intrinsic artificial development featuring structural feedback and emergent growth
Abstract--A model for intrinsic artificial development is introduced in this paper. The proposed model features a novel mechanism where growth emerges, rather than being triggered ...
Martin Trefzer, Tüze Kuyucu, Julian Francis M...
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 5 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
15 years 2 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
ICASSP
2011
IEEE
14 years 8 months ago
Rapid feature space MLLR speaker adaptation with bilinear models
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
Shilei Zhang, Peder A. Olsen, Yong Qin