StatLib Datasets Archive
StatLib --- Datasets Archive
Keywords for this software
References in zbMATH (referenced in 19 articles )
Showing results 1 to 19 of 19.
Sorted by year (- Mooij, Joris M.; Peters, Jonas; Janzing, Dominik; Zscheischler, Jakob; Schölkopf, Bernhard: Distinguishing cause from effect using observational data: methods and benchmarks (2016)
- Merola, Giovanni Maria: Least squares sparse principal component analysis: a backward elimination approach to attain large loadings (2015)
- Chen, Yu-Chuan; Ha, Hyejung; Kim, Hyunjoong; Ahn, Hongshik: Canonical forest (2014)
- Reif, Matthias; Shafait, Faisal: Efficient feature size reduction via predictive forward selection (2014) ioport
- Reif, Matthias; Shafait, Faisal; Goldstein, Markus; Breuel, Thomas; Dengel, Andreas: Automatic classifier selection for non-experts (2014) ioport
- Gascón-Moreno, J.; Ortiz-García, E.G.; Salcedo-Sanz, S.; Carro-Calvo, L.; Saavedra-Moreno, B.; Portilla-Figueras, A.: Evolutionary optimization of multi-parametric kernel $\epsilon$-SVMr for forecasting problems (2013) ioport
- Gu, Chong; Jeon, Yongho; Lin, Yi: Nonparametric density estimation in high-dimensions (2013)
- Zhang, Li; Zhou, WeiDa: 1-norm support vector novelty detection and its sparseness (2013)
- Mendes-Moreira, João; Soares, Carlos; Jorge, Alípio Mário; Sousa, Jorge Freire De: Ensemble approaches for regression: a survey (2012)
- Ñanculef, Ricardo; Valle, Carlos; Allende, Héctor; Moraga, Claudio: Training regression ensembles by sequential target correction and resampling (2012)
- Reif, Matthias; Shafait, Faisal; Dengel, Andreas: Meta-learning for evolutionary parameter optimization of classifiers (2012) ioport
- Frey, Jesse; Ozturk, Omer: Constrained estimation using judgment post-stratification (2011)
- Kim, Hyunjoong; Kim, Hyeuk; Moon, Hojin; Ahn, Hongshik: A weight-adjusted voting algorithm for ensembles of classifiers (2011)
- Scherbart, Alexandra; Nattkemper, Tim W.: Looking inside self-organizing map ensembles with resampling and negative correlation learning (2011)
- Yu, Yanfang; Qian, Feng; Liu, Huimin: Quantum clustering-based weighted linear programming support vector regression for multivariable nonlinear problem (2010) ioport
- Mierswa, Ingo; Morik, Katharina: About the non-convex optimization problem induced by non-positive semidefinite kernel learning (2008)
- Rentería, Paúl; Milidiú, Ruy; Souza, Rafael: MKPLS approach: switching strategies for the non-linear multi-kernel PLSR (2007)
- Milidiú, Ruy L.; Rentería, Raúl P.: DPLS and PPLS: Two PLS algorithms for large data sets (2005)
- Nascimento, Susana: Fuzzy clustering via proportional membership model. (2005)