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Results 1 to 25 of 653

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Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: A report of four patientsD'ALESSANDRO, Maryann; ESTELLER, Rosana; VACHTSEVANOS, George et al.IEEE transactions on biomedical engineering. 2003, Vol 50, Num 5, pp 603-615, issn 0018-9294, 13 p.Article

Classifier-independent feature selection on the basis of divergence criterionABE, Naoto; KUDO, Mineichi; TOYAMA, Jun et al.Pattern analysis and applications (Print). 2006, Vol 9, Num 2-3, pp 127-137, issn 1433-7541, 11 p.Article

Vector space model for patent documents with hierarchical class labelsCHEN, Yen-Liang; CHIU, Yu-Ting.Journal of information science. 2012, Vol 38, Num 3, pp 222-233, issn 0165-5515, 12 p.Article

Tag relatedness in image folksonomiesMOUSSELLY-SERGIEH, Hatem; EGYED-ZSIGMOND, Elod; GIANINI, Gabriele et al.Document numérique (Paris). 2014, Vol 17, Num 2, pp 33-54, issn 1279-5127, 22 p.Article

A Bayesian feature selection paradigm for text classificationGUOZHONG FENG; JIANHUA GUO; JING, Bing-Yi et al.Information processing & management. 2012, Vol 48, Num 2, pp 283-302, issn 0306-4573, 20 p.Article

Machine Learning Classification Procedure for Selecting SNPs in Genomic Selection : Application to Early Mortality in BroilersLONG, N; GIANOLA, D; ROSA, G. J. M et al.Developments in biologicals. 2008, Vol 132, pp 373-376, issn 1424-6074, 4 p.Conference Paper

An alternative approach for the classification of orange varieties based on near infrared spectroscopySUPHAMITMONGKOL, Warawut; GUANGLI NIE; RONG LIU et al.Computers and electronics in agriculture. 2013, Vol 91, pp 87-93, issn 0168-1699, 7 p.Article

A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization CapabilityBRUZZONE, Lorenzo; PERSELLO, Claudio.IEEE transactions on geoscience and remote sensing. 2009, Vol 47, Num 9, pp 3180-3191, issn 0196-2892, 12 p.Article

Application of attention network test and demographic information to detect mild cognitive impairment via combining feature selection with support vector machineSHIPIN LV; XIUKUN WANG; YIFEN CUI et al.Computer methods and programs in biomedicine (Print). 2010, Vol 97, Num 1, pp 11-18, issn 0169-2607, 8 p.Article

SVM-RFE based feature selection for tandem mass spectrum quality assessmentJIARUI DING; JINHONG SHI; WU, Fang-Xiang et al.International journal of data mining and bioinformatics (Print). 2011, Vol 5, Num 1, pp 73-88, issn 1748-5673, 16 p.Article

Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network techniqueAMJADY, Nima; KEYNIA, Farshid.Energy conversion and management. 2009, Vol 50, Num 12, pp 2976-2982, issn 0196-8904, 7 p.Article

Short-term load forecasting based on support vector regression and load profilingSOUSA, João C; JORGE, Humberto M; NEVES, Luís P et al.International journal of energy research. 2014, Vol 38, Num 3, pp 350-362, issn 0363-907X, 13 p.Article

Using Gene Ontology to enhance effectiveness of similarity measures for microarray dataZHENG CHEN; JIAN TANG.International journal of data mining and bioinformatics (Print). 2010, Vol 4, Num 5, pp 520-534, issn 1748-5673, 15 p.Article

Approaches to dimensionality reduction in proteomic biomarker studiesHILARIO, Melanie; KALOUSIS, Alexandros.Briefings in bioinformatics. 2008, Vol 9, Num 2, pp 102-118, issn 1467-5463, 17 p.Article

Molecular modeling of the standard state heat of formationBAGHERI, Mehdi; YERRAMSETTY, Krishna; GASEM, Khaled A. M et al.Energy conversion and management. 2013, Vol 65, pp 587-596, issn 0196-8904, 10 p.Article

A more efficient branch and bound algorithm for feature selectionBIN YU; BAOZONG YUAN.Pattern recognition. 1993, Vol 26, Num 6, pp 883-889, issn 0031-3203Article

Sifting the margin: An iterative empirical classification schemeVANCE, Dan; RALESCU, Anca.Lecture notes in computer science. 2004, pp 191-200, issn 0302-9743, isbn 3-540-22817-9, 10 p.Conference Paper

Image texture analysis of sonograms in chronic inflammations of thyroid glandSMUTEK, Daniel; SARA, Radim; SUCHARDA, Petr et al.Ultrasound in medicine & biology. 2003, Vol 29, Num 11, pp 1531-1543, issn 0301-5629, 13 p.Article

Application of kernel-genetic algorithm as nonlinear feature selection in tropical wood species recognition systemYUSOF, Rubiyah; KHALID, Marzuki; KHAIRUDDIN, Anis Salwa M et al.Computers and electronics in agriculture. 2013, Vol 93, pp 68-77, issn 0168-1699, 10 p.Article

On the equivalence of Kernel Fisher discriminant analysis and Kernel Quadratic Programming Feature SelectionRODRIGUEZ-LUJAN, I; SANTA CRUZ, C; HUERTA, R et al.Pattern recognition letters. 2011, Vol 32, Num 11, pp 1567-1571, issn 0167-8655, 5 p.Article

W-operator window design by minimization of mean conditional entropyMARTINS, David C; CESAR, Roberto M; BARRERA, Junior et al.Pattern analysis and applications (Print). 2006, Vol 9, Num 2-3, pp 139-153, issn 1433-7541, 15 p.Article

Identification of discriminative features for biological event extraction through linguistically informed feature selectionXING ZHANG; JINGBO XIA; WEBSTER, Jonathan et al.International journal of food, agriculture and environment (Print). 2013, Vol 11, Num 1, pp 1032-1036, issn 1459-0255, 5 p., 2Article

Toward integrating feature selection algorithms for classification and clusteringHUAN LIU, SR; LEI YU.IEEE transactions on knowledge and data engineering. 2005, Vol 17, Num 4, pp 491-502, issn 1041-4347, 12 p.Article

Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization - Extreme learning machine approachSALCEDO-SANZ, S; PASTOR-SANCHEZ, A; PRIETO, L et al.Energy conversion and management. 2014, Vol 87, pp 10-18, issn 0196-8904, 9 p.Article

Computational grading of hepatocellular carcinoma using multifractal feature descriptionATUPELAGE, Chamidu; NAGAHASHI, Hiroshi; YAMAGUCHI, Masahiro et al.Computerized medical imaging and graphics. 2013, Vol 37, Num 1, pp 61-71, issn 0895-6111, 11 p.Article

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