Search results for "Out-of-sample"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
41	Carlos Alzate, Johan A. K. Suykens	Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	out-of-sample extensions, model selection, Spectral clustering, kernel principal component analysis
34	Eric Bax	Partition-based and sharp uniform error bounds.	IEEE Trans. Neural Networks	1999	DBLP DOI BibTeX RDF
31	Alex X. Lu, Amy X. Lu, Wiebke Schormann, David W. Andrews, Alan M. Moses	The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers.	CoRR	2019	DBLP BibTeX RDF
31	Alex X. Lu, Amy X. Lu, Wiebke Schormann, Marzyeh Ghassemi, David W. Andrews, Alan M. Moses	The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers.	NeurIPS	2019	DBLP BibTeX RDF
26	Pablo Arias 0001, Gregory Randall, Guillermo Sapiro	Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods.	CVPR	2007	DBLP DOI BibTeX RDF
25	Liang Wang 0001, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao	Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning.	IEEE Trans. Knowl. Data Eng.	2010	DBLP DOI BibTeX RDF	VAT, cluster tendency, spectral embedding, out-of-sample extension, Clustering
25	Shiming Xiang, Feiping Nie 0001, Yangqiu Song, Changshui Zhang, Chunxia Zhang 0001	Embedding new data points for manifold learning via coordinate propagation.	Knowl. Inf. Syst.	2009	DBLP DOI BibTeX RDF	Out-of-sample, Coordinate propagation, Tangent space projection, Smooth spline, Quadratic programming, Manifold learning
23	Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki	Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions.	CoRR	2020	DBLP BibTeX RDF
23	Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki	Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions.	AISTATS	2020	DBLP BibTeX RDF
23	Jamal Ouenniche, Kais Bouslah, Blanca Pérez-Gladish, Bing Xu 0002	A new VIKOR-based in-sample-out-of-sample classifier with application in bankruptcy prediction.	Ann. Oper. Res.	2021	DBLP DOI BibTeX RDF
23	Jose H. Blanchet, Yang Kang	Sample Out-of-Sample Inference Based on Wasserstein Distance.	Oper. Res.	2021	DBLP DOI BibTeX RDF
23	Costas Milas, Ruthira Naraidoo	Financial conditions and nonlinearities in the European Central Bank (ECB) reaction function: In-sample and out-of-sample assessment.	Comput. Stat. Data Anal.	2012	DBLP DOI BibTeX RDF
23	Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella	In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines.	IEEE Trans. Neural Networks Learn. Syst.	2012	DBLP DOI BibTeX RDF
23	Feiping Nie 0001, Zinan Zeng, Ivor W. Tsang, Dong Xu 0001, Changshui Zhang	Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering.	IEEE Trans. Neural Networks	2011	DBLP DOI BibTeX RDF
21	Tat-Jun Chin, David Suter	Out-of-Sample Extrapolation of Learned Manifolds.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF
21	Carlos Alzate, Johan A. K. Suykens	A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods.	IJCNN	2006	DBLP DOI BibTeX RDF
16	Krzysztof Michalak, Halina Kwasnicka	Correlation Dimension and the Quality of Forecasts Given by a Neural Network.	CiE	2005	DBLP DOI BibTeX RDF
16	Runhua Jiang, Yahong Han	Generalizing to Out-of-Sample Degradations via Model Reprogramming.	CoRR	2024	DBLP DOI BibTeX RDF
16	Giuseppe Patanè 0001	Out-of-Sample Extension of the Fuzzy Transform.	IEEE Trans. Fuzzy Syst.	2024	DBLP DOI BibTeX RDF
16	Konstantina Biza, Ioannis Tsamardinos, Sofia Triantafillou	Out-of-Sample Tuning for Causal Discovery.	IEEE Trans. Neural Networks Learn. Syst.	2024	DBLP DOI BibTeX RDF
16	Runhua Jiang, Yahong Han	Generalizing to Out-of-Sample Degradations via Model Reprogramming.	IEEE Trans. Image Process.	2024	DBLP DOI BibTeX RDF
16	Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis	From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics.	Comput. Chem. Eng.	2023	DBLP DOI BibTeX RDF
16	Yu Huang, Yanying Wang, Le Tian, Chunhui Zhang	The Effect of Age on Motorcyclist Injury Severities in Multi-Vehicle Motorcycle Crashes: Accounting for Unobserved Heterogeneity and Insights From Out-of-Sample Prediction.	IEEE Access	2023	DBLP DOI BibTeX RDF
16	Kiattikun Chobtham, Anthony C. Constantinou	Tuning structure learning algorithms with out-of-sample and resampling strategies.	CoRR	2023	DBLP DOI BibTeX RDF
16	Eleni D. Koronaki, Nikolaos Evangelou, Yorgos M. Psarellis, Andreas G. Boudouvis, Ioannis G. Kevrekidis	From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics.	CoRR	2023	DBLP DOI BibTeX RDF
16	Sofia Ek, Dave Zachariah	Offline Policy Evaluation with Out-of-Sample Guarantees.	CoRR	2023	DBLP DOI BibTeX RDF
16	Ke Jiang, Jia-Yu Yao, Xiaoyang Tan	Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning.	NeurIPS	2023	DBLP BibTeX RDF
16	Michaël Fanuel, Antoine Aspeel, Jean-Charles Delvenne, Johan A. K. Suykens	Positive Semi-definite Embedding for Dimensionality Reduction and Out-of-Sample Extensions.	SIAM J. Math. Data Sci.	2022	DBLP DOI BibTeX RDF
16	Ludvig Hult, Dave Zachariah, Petre Stoica	Diagnostic Tool for Out-of-Sample Model Evaluation.	CoRR	2022	DBLP DOI BibTeX RDF
16	Egor Kraev, Timo Flesch, Hudson Taylor Lekunze, Mark Harley, Pere Planell Morell	Out-of-sample scoring and automatic selection of causal estimators.	CoRR	2022	DBLP DOI BibTeX RDF
16	Pratik Patil, Alessandro Rinaldo, Ryan J. Tibshirani	Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression.	AISTATS	2022	DBLP BibTeX RDF
16	Ümit Öztürk	Seçilmemiş veri örnekleri sorunu için uygulanabilir bir boyut azaltma algoritmasının geliştirilmesi (Development of a dimensionality reduction algorithm applicable for out of sample problem)		2022	RDF
16	Haili Zhang, Pu Wang, Xuejin Gao, Yongsheng Qi, Huihui Gao	Out-of-sample data visualization using bi-kernel t-SNE.	Inf. Vis.	2021	DBLP DOI BibTeX RDF
16	Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe	Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings.	J. Mach. Learn. Res.	2021	DBLP BibTeX RDF
16	Samudra Herath, Matthew Roughan, Gary Glonek	High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling.	CoRR	2021	DBLP BibTeX RDF
16	Jun-ya Gotoh, Michael Jong Kim, Andrew E. B. Lim	A data-driven approach to beating SAA out-of-sample.	CoRR	2021	DBLP BibTeX RDF
16	Aubrey Condor, Max Litster, Zachary A. Pardos	Automatic short answer grading with SBERT on out-of-sample questions.	EDM	2021	DBLP BibTeX RDF
16	Erindi Allaj	The Black-Litterman model and views from a reverse optimization procedure: an out-of-sample performance evaluation.	Comput. Manag. Sci.	2020	DBLP DOI BibTeX RDF
16	Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi	Out-of-Sample Representation Learning for Multi-Relational Graphs.	CoRR	2020	DBLP BibTeX RDF
16	Mark Grennan, Joeran Beel	Synthetic vs. Real Reference Strings for Citation Parsing, and the Importance of Re-training and Out-Of-Sample Data for Meaningful Evaluations: Experiments with GROBID, GIANT and Cora.	CoRR	2020	DBLP BibTeX RDF
16	Muhammad Osama 0001, Dave Zachariah, Petre Stoica	Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees.	CoRR	2020	DBLP BibTeX RDF
16	Roy Mitz, Yoel Shkolnisky	A perturbation based out-of-sample extension framework.	CoRR	2020	DBLP BibTeX RDF
16	Dimitrios Sarris, Evangelos Spiliotis, Vassilios Assimakopoulos	Exploiting resampling techniques for model selection in forecasting: an empirical evaluation using out-of-sample tests.	Oper. Res.	2020	DBLP DOI BibTeX RDF
16	Matthew Amodio, David van Dijk, Guy Wolf, Smita Krishnaswamy	Learning General Transformations of Data for Out-of-Sample Extensions.	MLSP	2020	DBLP DOI BibTeX RDF
16	Igor Ilic, Berk Görgülü, Mucahit Cevik	Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques.	Canadian AI	2020	DBLP DOI BibTeX RDF
16	Florian Sense, Michael G. Collins, Tiffany S. Jastrzembski, Michael Krusmark	Using K-means Clustering for Out-of-Sample Predictions of Memory Retention.	CogSci	2020	DBLP BibTeX RDF
16	Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi	Out-of-Sample Representation Learning for Knowledge Graphs.	EMNLP (Findings)	2020	DBLP DOI BibTeX RDF
16	Jianzhong Wang	Least Square Approach to Out-of-Sample Extensions of Diffusion Maps.	Frontiers Appl. Math. Stat.	2019	DBLP DOI BibTeX RDF
16	Hong-Bing Huang, Zhi-Hong Xie	Generalized Regression Neural Network Optimized by Genetic Algorithm for Solving Out-of-Sample Extension Problem in Supervised Manifold Learning.	Neural Process. Lett.	2019	DBLP DOI BibTeX RDF
16	Hang-Yee Chan, Ale Smidts, Vincent C. Schoots, Roeland C. Dietvorst, Maarten A. S. Boksem	Neural similarity at temporal lobe and cerebellum predicts out-of-sample preference and recall for video stimuli.	NeuroImage	2019	DBLP DOI BibTeX RDF
16	Roy Mitz, Nir Sharon, Yoel Shkolnisky	Symmetric Rank-One Updates from Partial Spectrum with an Application to Out-of-Sample Extension.	SIAM J. Matrix Anal. Appl.	2019	DBLP DOI BibTeX RDF
16	Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz	Out-of-Sample Testing for GANs.	CoRR	2019	DBLP BibTeX RDF
16	Shusen Wang	Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping.	CoRR	2019	DBLP BibTeX RDF
16	Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe	Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings.	CoRR	2019	DBLP BibTeX RDF
16	Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf	Conditional out-of-sample generation for unpaired data using trVAE.	CoRR	2019	DBLP BibTeX RDF
16	Gülsen Taskin Kaya, Melba M. Crawford	An Out-of-Sample Extension to Manifold Learning via Meta-Modeling.	IEEE Trans. Image Process.	2019	DBLP DOI BibTeX RDF
16	Matthias Treder	Direct calculation of out-of-sample predictions in multi-class kernel FDA.	ESANN	2019	DBLP BibTeX RDF
16	Tushara Ponnada, Hanan Al-Tous, Olav Tirkkonen, Christoph Studer	An Out-of-Sample Extension for Wireless Multipoint Channel Charting.	CrownCom	2019	DBLP DOI BibTeX RDF
16	Mahmoud Mostapha, Juan Prieto 0001, Veronica Murphy, Jessica B. Girault, Mark Foster, Ashley Rumple, Joseph Blocher, Weili Lin, Jed T. Elison, John H. Gilmore, Steven M. Pizer, Martin Styner	Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control.	MICCAI (3)	2019	DBLP DOI BibTeX RDF
16	Muhammad Osama 0001, Dave Zachariah, Peter Stoica	Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees.	NeurIPS	2019	DBLP BibTeX RDF
16	Yanfang Ye 0001, Shifu Hou, Lingwei Chen, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao	Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection.	IJCAI	2019	DBLP DOI BibTeX RDF
16	Adriano Arrigo, Christos Ordoudis, Jalal Kazempour, Zacharie De Grève, Jean-François Toubeau, François Vallée	Optimal Power Flow Under Uncertainty: An Extensive Out-of-Sample Analysis.	ISGT Europe	2019	DBLP DOI BibTeX RDF
16	Jianzhong Wang	Mathematical analysis on out-of-sample extensions.	Int. J. Wavelets Multiresolution Inf. Process.	2018	DBLP DOI BibTeX RDF
16	Ioannis Tsamardinos, Elissavet Greasidou, Giorgos Borboudakis	Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation.	Mach. Learn.	2018	DBLP DOI BibTeX RDF
16	Fanghui Liu 0001, Lei Shi 0010, Xiaolin Huang, Jie Yang 0002, Johan A. K. Suykens	Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions.	CoRR	2018	DBLP BibTeX RDF
16	Jianzhong Wang	Mathematical Analysis on Out-of-Sample Extensions.	CoRR	2018	DBLP BibTeX RDF
16	Guohui Wei, He Ma, Wei Qian 0001, Fangfang Han, Hongyang Jiang 0001, Shouliang Qi, Min Qiu	Lung nodule classification using local kernel regression models with out-of-sample extension.	Biomed. Signal Process. Control.	2018	DBLP DOI BibTeX RDF
16	Ryan Finn, Rickey Dubay	Out-of-sample mapping of a two-link robotic manipulator.	SysCon	2018	DBLP DOI BibTeX RDF
16	Jianxin Ma, Peng Cui 0001, Wenwu Zhu 0001	DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks.	AAAI	2018	DBLP DOI BibTeX RDF
16	Sergio Campos, Alejandro Veloz, Héctor Allende	An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification.	CIARP	2018	DBLP DOI BibTeX RDF
16	Oscar Esteban, Russell A. Poldrack, Krzysztof J. Gorgolewski	Improving Out-of-Sample Prediction of Quality of MRIQC.	CVII-STENT/LABELS@MICCAI	2018	DBLP DOI BibTeX RDF
16	Keith D. Levin, Farbod Roosta-Khorasani, Michael W. Mahoney, Carey E. Priebe	Out-of-sample extension of graph adjacency spectral embedding.	ICML	2018	DBLP BibTeX RDF
16		Out-of-Sample Evaluation.	Encyclopedia of Machine Learning and Data Mining	2017	DBLP DOI BibTeX RDF
16		Out-of-Sample Data.	Encyclopedia of Machine Learning and Data Mining	2017	DBLP DOI BibTeX RDF
16	Jamal Ouenniche, Kaoru Tone	An out-of-sample evaluation framework for DEA with application in bankruptcy prediction.	Ann. Oper. Res.	2017	DBLP DOI BibTeX RDF
16	Aren Jansen, Gregory Sell, Vince Lyzinski	Scalable out-of-sample extension of graph embeddings using deep neural networks.	Pattern Recognit. Lett.	2017	DBLP DOI BibTeX RDF
16	Mengfan Tang, Feiping Nie 0001, Ramesh C. Jain	A graph regularized dimension reduction method for out-of-sample data.	Neurocomputing	2017	DBLP DOI BibTeX RDF
16	Ioannis Tsamardinos, Elissavet Greasidou, Michalis Tsagris, Giorgos Borboudakis	Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation.	CoRR	2017	DBLP BibTeX RDF
16	Michaël Fanuel, Antoine Aspeel, Jean-Charles Delvenne, Johan A. K. Suykens	Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions.	CoRR	2017	DBLP BibTeX RDF
16	Binbin Pan, Wen-Sheng Chen, Bo Chen 0004, Chen Xu 0004, Jianhuang Lai	Out-of-Sample Extensions for Non-Parametric Kernel Methods.	IEEE Trans. Neural Networks Learn. Syst.	2017	DBLP DOI BibTeX RDF
16	Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin	Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.	IEEE Trans. Image Process.	2017	DBLP DOI BibTeX RDF
16	Alessandro Penna, Sadegh Mohammadi 0001, Nebojsa Jojic, Vittorio Murino	Summarization and Classification of Wearable Camera Streams by Learning the Distributions over Deep Features of Out-of-Sample Image Sequences.	ICCV	2017	DBLP DOI BibTeX RDF
16	Gülsen Taskin Kaya, Melba M. Crawford	Extending out-of-sample manifold learning via meta-modelling techniques.	IGARSS	2017	DBLP DOI BibTeX RDF
16	Shuzhi Su, Hongwei Ge, Yunhao Yuan	Kernel propagation strategy: A novel out-of-sample propagation projection for subspace learning.	J. Vis. Commun. Image Represent.	2016	DBLP DOI BibTeX RDF
16	Arturo Mendoza Quispe, Caroline Petitjean, Laurent Heutte	Extreme learning machine for out-of-sample extension in Laplacian eigenmaps.	Pattern Recognit. Lett.	2016	DBLP DOI BibTeX RDF
16	Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin	Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.	CoRR	2016	DBLP BibTeX RDF
16	Oren Barkan, Jonathan Weill, Amir Averbuch	Gaussian Process Regression for Out-of-Sample Extension.	CoRR	2016	DBLP BibTeX RDF
16	Xi Peng 0001, Huajin Tang, Lei Zhang 0005, Zhang Yi 0001, Shijie Xiao	A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data.	IEEE Trans. Neural Networks Learn. Syst.	2016	DBLP DOI BibTeX RDF
16	Elif Vural, Christine Guillemot	Out-of-Sample Generalizations for Supervised Manifold Learning for Classification.	IEEE Trans. Image Process.	2016	DBLP DOI BibTeX RDF
16	Oren Barkan, Jonathan Weill, Amir Averbuch	Gaussian process regression for out-of-sample extension.	MLSP	2016	DBLP DOI BibTeX RDF
16	Aistis Raudys	Portfolio of Global Futures Algorithmic Trading Strategies for Best Out-of-Sample Performance.	BIS	2016	DBLP DOI BibTeX RDF
16	Bo Jiang 0002, Chris H. Q. Ding, Bin Luo 0001	Robust Out-of-Sample Data Recovery.	IJCAI	2016	DBLP BibTeX RDF
16	Bart Diris, Franz Palm, Peter C. Schotman	Long-Term Strategic Asset Allocation: An Out-of-Sample Evaluation.	Manag. Sci.	2015	DBLP DOI BibTeX RDF
16	Saman Mousazadeh, Israel Cohen	Out-of-sample extension of band-limited functions on homogeneous manifolds using diffusion maps.	Signal Process.	2015	DBLP DOI BibTeX RDF
16	Mingming Ji, Yinfu Feng, Jun Xiao 0001, Yueting Zhuang, Xiaosong Yang, Jian J. Zhang 0001	Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval.	Neurocomputing	2015	DBLP DOI BibTeX RDF
16	Ming-Bo Zhao, Bing Li 0007, Zhou Wu 0001, Choujun Zhan	Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension.	Neurocomputing	2015	DBLP DOI BibTeX RDF
16	Elif Vural, Christine Guillemot	Out-of-sample generalizations for supervised manifold learning for classification.	CoRR	2015	DBLP BibTeX RDF
16	Aren Jansen, Gregory Sell, Vince Lyzinski	Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks.	CoRR	2015	DBLP BibTeX RDF
16	Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin	Isomap out-of-sample extension for noisy time series data.	MLSP	2015	DBLP DOI BibTeX RDF
16	Mahesh B. Nagarajan, Markus B. Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Andrzej Król, Axel Wismüller	Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.	Artif. Intell. Medicine	2014	DBLP DOI BibTeX RDF