Search results for "Bagging"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
30	Tian-Yu Liu, Guo-Zheng Li 0001, Yue Liu, Gengfeng Wu, Wei Wang	Estimation of the Future Earthquake Situation by Using Neural Networks Ensemble.	ISNN (2)	2006	DBLP DOI BibTeX RDF
30	Rencheng Wang, Fang Li, M. Wu, J. Z. Wang, L. Jiang, H. Liu	Multi-degree Prosthetic Hand Control Using a New BP Neural Network.	ICONIP (3)	2006	DBLP DOI BibTeX RDF
30	Hua Wu 0003, Haifeng Wang 0001	Improving Statistical Word Alignment with Ensemble Methods.	IJCNLP	2005	DBLP DOI BibTeX RDF
30	Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich	A Comparison of Ensemble Creation Techniques.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
30	Prem Melville, Raymond J. Mooney	Diverse ensembles for active learning.	ICML	2004	DBLP DOI BibTeX RDF
30	Terry Windeatt, Gholamreza Ardeshir	An Empirical Comparison of Pruning Methods for Ensemble Classifiers.	IDA	2001	DBLP DOI BibTeX RDF
30	Zijian Zheng, Geoffrey I. Webb	Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees.	PAKDD	1999	DBLP DOI BibTeX RDF
28	Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu 0002	A Fast Ensemble Pruning Algorithm Based on Pattern Mining Process.	ECML/PKDD (1)	2009	DBLP DOI BibTeX RDF	PMEP (Pattern Mining based Ensemble Pruning), Bagging, FP-Tree, back-propagation neural network
28	Björn Waske, Jón Atli Benediktsson, Johannes R. Sveinsson	Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data.	MCS	2009	DBLP DOI BibTeX RDF	imbalanced training data, support vector machines, bagging, land cover classification, multispectral
28	Kritsada Sriphaew, Hiroya Takamura, Manabu Okumura	Cool Blog Classification from Positive and Unlabeled Examples.	PAKDD	2009	DBLP DOI BibTeX RDF	Cool blog, PU-learning, weighting examples, bagging
28	Sinjini Mitra, Nicole A. Lazar, Yanxi Liu 0001	Understanding the role of facial asymmetry in human face identification.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Facial asymmetry, Feature subset, Classification, Bagging, Resampling
28	Rongrong Ji, Hongxun Yao, Shaohui Liu, Jicheng Wang, Pengfei Xu 0001	A Novel Retrieval Refinement and Interaction Pattern by Exploring Result Correlations for Image Retrieval.	Adaptive Multimedia Retrieval	2007	DBLP DOI BibTeX RDF	pairwise coupling, support vector machine, image retrieval, relevance feedback, image classification, bagging
28	Rencheng Wang, Yiyong Yang, Xiao Hu, Fangfang Wu, Dewen Jin, Xiaohong Jia, Fang Li, Jichuan Zhang	A Hybrid AB-RBF Classifier for Surface Electromyography Classification.	HCI (12)	2007	DBLP DOI BibTeX RDF	Attribute Bagging Algorithm, RBFN, sEMG, Prosthesis control
28	Shiliang Sun	Ensemble Learning Methods for Classifying EEG Signals.	MCS	2007	DBLP DOI BibTeX RDF	boosting, ensemble learning, bagging, random subspace, EEG signal classification
28	Rongrong Ji, Hongxun Yao	Visual & textual fusion for region retrieval: from both fuzzy matching and bayesian reasoning aspects.	Multimedia Information Retrieval	2007	DBLP DOI BibTeX RDF	pairwise coupling, support vector machine, image retrieval, relevance feedback, image annotation, bagging, bayesian reasoning
28	Xiaogang Wang 0001, Xiaoou Tang	Random Sampling for Subspace Face Recognition.	Int. J. Comput. Vis.	2006	DBLP DOI BibTeX RDF	face recognition, LDA, bagging, subspace analysis, random subspace method
28	Bin He 0001, Kevin Chen-Chuan Chang	Making holistic schema matching robust: an ensemble approach.	KDD	2005	DBLP DOI BibTeX RDF	bagging predictors, data integration, ensemble, schema matching, deep web
28	Yongdai Kim, Jinseog Kim	Convex Hull Ensemble Machine for Regression and Classification.	Knowl. Inf. Syst.	2004	DBLP DOI BibTeX RDF	Classification, Regression, Boosting, Ensemble, Bagging
28	R. Syama Sundar Yadav, Deepak Khemani	An Oracle Based Meta-learner for Function Decomposition.	AIMSA	2004	DBLP DOI BibTeX RDF	Machine learning, Bagging, Meta-learning, Function decomposition
28	Foster J. Provost, Pedro M. Domingos	Tree Induction for Probability-Based Ranking.	Mach. Learn.	2003	DBLP DOI BibTeX RDF	Laplace correction, classification, decision trees, ranking, bagging, cost-sensitive learning, probability estimation
28	Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen	Empirical Case Studies of Combining Software Quality Classification Models.	QSIC	2003	DBLP DOI BibTeX RDF	Decision Stumps, combined decision, software quality, Boosting, Bagging, C4.5
28	Josef Kittler, Fuad M. Alkoot	Moderating k-NN Classifiers.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Fusion, Bagging, Classifier combining, Moderation, k-Nearest Neighbour
28	Claudio Conversano	Bagged Mixtures of Classifiers using Model Scoring Criteria.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Backfitting, Generalised Additive Models, Generalised Additive Multi-Mixture model, Tree classifiers, Supervised learning, Bagging
26	M. Arthur Munson, Rich Caruana	On Feature Selection, Bias-Variance, and Bagging.	ECML/PKDD (2)	2009	DBLP DOI BibTeX RDF
26	Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis	Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities.	Neural Process. Lett.	2008	DBLP DOI BibTeX RDF	Mathematics Subject Classification (2000) 62F40, 62M45, 82C32, 68T10, 62H30
26	Chen Li 0021, Yang Zhang 0010	Bagging One-Class Decision Trees.	FSKD (2)	2008	DBLP DOI BibTeX RDF
26	Shuichi Kurogi, Yohei Koshiyama, Daisuke Kuwahara, Takeshi Nishida, Mitsuru Mimata, Katsuyoshi Itoh	Model switching predictive control using bagging CAN2 and first-difference signals for temperature control of RCA cleaning solutions.	IJCNN	2008	DBLP DOI BibTeX RDF
26	Alexandra Scherbart, Tim W. Nattkemper	The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
26	Xingquan Zhu 0001	Lazy Bagging for Classifying Imbalanced Data.	ICDM	2007	DBLP DOI BibTeX RDF
26	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles.	IDEAL	2007	DBLP DOI BibTeX RDF
26	Cen Li	Classifying imbalanced data using a bagging ensemble variation (BEV).	ACM Southeast Regional Conference	2007	DBLP DOI BibTeX RDF	machine learning, classification, support vector machine, decision tree, imbalanced data
26	Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas	Bagging Random Trees for Estimation of Tissue Softness.	MLDM	2005	DBLP DOI BibTeX RDF
26	Yuan Jiang 0001, Jinjiang Ling, Gang Li 0009, Honghua Dai 0001, Zhi-Hua Zhou	Dependency Bagging.	RSFDGrC (1)	2005	DBLP DOI BibTeX RDF
26	Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas	Bagging Model Trees for Classification Problems.	Panhellenic Conference on Informatics	2005	DBLP DOI BibTeX RDF
26	Sotiris B. Kotsiantis, George E. Tsekouras, Panayiotis E. Pintelas	Local Bagging of Decision Stumps.	IEA/AIE	2005	DBLP DOI BibTeX RDF
26	Roberto Esposito, Lorenza Saitta	Experimental comparison between bagging and Monte Carlo ensemble classification.	ICML	2005	DBLP DOI BibTeX RDF
26	Jerzy Stefanowski	The Bagging and n2-Classifiers Based on Rules Induced by MODLEM.	Rough Sets and Current Trends in Computing	2004	DBLP DOI BibTeX RDF
26	Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich	Comparing Pure Parallel Ensemble Creation Techniques Against Bagging.	ICDM	2003	DBLP DOI BibTeX RDF
26	Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho	Human Splice Site Identification with Multiclass Support Vector Machines and Bagging.	ICANN	2003	DBLP DOI BibTeX RDF
26	Roberto Esposito, Lorenza Saitta	Explaining Bagging with Monte Carlo Theory.	AI*IA	2003	DBLP DOI BibTeX RDF
26	Gunnar Jakob Briem, Jón Atli Benediktsson, Johannes R. Sveinsson	Boosting, Bagging, and Consensus Based Classification of Multisource Remote Sensing Data.	Multiple Classifier Systems	2001	DBLP DOI BibTeX RDF
20	Douglas Adriano Augusto, Helio José Corrêa Barbosa, Nelson Francisco Favilla Ebecken	Coevolutionary multi-population genetic programming for data classification.	GECCO	2010	DBLP DOI BibTeX RDF	distributed genetic programming, coevolution, ensemble method, data classification
20	Sergio Muñoz-Romero, Jerónimo Arenas-García, Vanessa Gómez-Verdejo	Real Adaboost Ensembles with Emphasized Subsampling.	IWANN (1)	2009	DBLP DOI BibTeX RDF
20	Jerzy Blaszczynski, Jerzy Stefanowski, Magdalena Zajac	Ensembles of Abstaining Classifiers Based on Rule Sets.	ISMIS	2009	DBLP DOI BibTeX RDF
20	Lei Wang, Yong Yang	Selective Ensemble Algorithms of Support Vector Machines Based on Constraint Projection.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Constraint projection, Support vector machines, Selective ensemble
20	Jonathan H. Morra, Zhuowen Tu, Arthur W. Toga, Paul M. Thompson	Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation.	MICCAI (1)	2009	DBLP DOI BibTeX RDF
20	Yong Liu 0012	Balanced Learning for Ensembles with Small Neural Networks.	ISICA	2009	DBLP DOI BibTeX RDF
20	Dawn R. Magness, Falk Huettmann, John M. Morton	Using Random Forests to Provide Predicted Species Distribution Maps as a Metric for Ecological Inventory & Monitoring Programs.	Applications of Computational Intelligence in Biology	2008	DBLP DOI BibTeX RDF
20	Zhiwen Yu 0002, Zhongkai Deng, Hau-San Wong	Identification of phosphorylation sites using a hybrid classifier ensemble approach.	ICPR	2008	DBLP DOI BibTeX RDF
20	Meihong Zhu, Yong Shi 0001, Aihua Li, Peng Zhang 0001	A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles.	Web Intelligence/IAT Workshops	2008	DBLP DOI BibTeX RDF
20	Byungwoo Lee, Yong-chan Na, Byonghwa Oh, Jihoon Yang	Ensemble Learning of Regional Classifiers.	ICTAI (1)	2008	DBLP DOI BibTeX RDF
20	M. A. H. Akhand, Md. Monirul Islam, Kazuyuki Murase	Training of neural network ensemble through progressive interaction.	IJCNN	2008	DBLP DOI BibTeX RDF
20	Paul Jen-Hwa Hu, Tsang-Hsiang Cheng, Chih-Ping Wei, Chun-Hui Yu, A. L. F. Chan, Hue-Yu Wang	Managing Clinical Use of High-Alert Drugs: A Supervised Learning Approach to Pharmacokinetic Data Analysis.	IEEE Trans. Syst. Man Cybern. Part A	2007	DBLP DOI BibTeX RDF
20	Feng Liu, Fengzhan Tian, QiLiang Zhu	Ensembling Bayesian network structure learning on limited data.	CIKM	2007	DBLP DOI BibTeX RDF	bayesian network, ensemble method, sampling method, fusion method
20	Jia Tang, Xiaoqin Zeng, Lei Lu	Ensemble Learning Based on the Output Sensitivity of Multilayer Perceptrons.	IJCNN	2007	DBLP DOI BibTeX RDF
20	Victor S. Sheng, Charles X. Ling	Roulette Sampling for Cost-Sensitive Learning.	ECML	2007	DBLP DOI BibTeX RDF	data mining, machine learning, classification, decision trees, cost-sensitive learning, meta-learning
20	C.-H. Chou, C.-Y. Guo, F. Chang	Recognition of Fragmented Characters Using Multiple Feature-Subset Classifiers.	ICDAR	2007	DBLP DOI BibTeX RDF
20	Jin Huang, Charles X. Ling	Constructing Ensembles for Better Ranking.	ICDM	2006	DBLP DOI BibTeX RDF
20	Jiang Meng, Kun An	Aggregating Regressive Estimators: Gradient-Based Neural Network Ensemble.	MICAI	2006	DBLP DOI BibTeX RDF
20	Fabrício Enembreck, Bráulio Coelho Ávila	KNOMA: A New Approach for Knowledge Integration.	ISCC	2006	DBLP DOI BibTeX RDF
20	José María Martínez-Otzeta, Basilio Sierra, Elena Lazkano, Ekaitz Jauregi	On a Unified Framework for Sampling With and Without Replacement in Decision Tree Ensembles.	AIMSA	2006	DBLP DOI BibTeX RDF	Decision Trees, Ensemble Methods
20	Giorgio Valentini	An experimental bias-variance analysis of SVM ensembles based on resampling techniques.	IEEE Trans. Syst. Man Cybern. Part B	2005	DBLP DOI BibTeX RDF
20	Zhi-Hua Zhou, Yang Yu 0001	Ensembling local learners ThroughMultimodal perturbation.	IEEE Trans. Syst. Man Cybern. Part B	2005	DBLP DOI BibTeX RDF
20	Yong Liu 0012	Generate Different Neural Networks by Negative Correlation Learning.	ICNC (1)	2005	DBLP DOI BibTeX RDF
20	Gang Li 0009, Honghua Dai 0001	Study of Ensemble Strategies in Discovering Linear Causal Models.	FSKD (2)	2005	DBLP DOI BibTeX RDF
20	Huimin Zhao 0003, Sudha Ram	Constrained Cascade Generalization of Decision Trees.	IEEE Trans. Knowl. Data Eng.	2004	DBLP DOI BibTeX RDF	cascade generalization, data mining, Machine learning, classification, decision tree
20	Peng Wang 0005, Qiang Ji	Multi-View Face Detection under Complex Scene based on Combined SVMs.	ICPR (4)	2004	DBLP DOI BibTeX RDF
20	K. Arun, Christopher James Langmead	Large-Scale Testing of Chemical Shift Prediction Algorithms and Improved Machine Learning-Based Approaches to Shift Prediction.	CSB	2004	DBLP DOI BibTeX RDF
20	Md. Waselul Haque Sadid, Md. Nazrul Islam Mondal, Md. Shamsul Alam, Abu Sayeed Md. Sohail, Boshir Ahmed	Progressive Boosting for Classifier Committee Learning.	AACC	2004	DBLP DOI BibTeX RDF
20	Dacheng Tao, Xiaoou Tang	Random Sampling Based SVM for Relevance Feedback Image Retrieval.	CVPR (2)	2004	DBLP DOI BibTeX RDF
20	Min Jang, Sungzoon Cho	Observational Learning Algorithm for an Ensemble of Neural Networks.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Observational learning, Social learning theory, Virtual data, Neural network ensemble
20	Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, Thomas E. Moore, W. Philip Kegelmeyer	Distributed Pasting of Small Votes.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
20	Jonathan Cheung-Wai Chan, Ruth S. DeFries, John R. Townshend	Improved Recognition of Spectrally Mixed Land Cover Classes Using Spatial Textures and Voting Classifications.	CAIP	2001	DBLP DOI BibTeX RDF	spatial textures, rating classifier, pattern recognition
20	Alexey Tsymbal, Seppo Puuronen	Dynamic Integration of Decision Committees.	HiPC	2000	DBLP DOI BibTeX RDF
20	Patrice Latinne, Olivier Debeir, Christine Decaestecker	Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
20	Cesare Furlanello, Stefano Merler	Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
20	Marina Skurichina, Robert P. W. Duin	Boosting in Linear Discriminant Analysis.	Multiple Classifier Systems	2000	DBLP DOI BibTeX RDF
20	Alexey Tsymbal	Decision Committee Learning with Dynamic Integration of Classifiers.	ADBIS-DASFAA	2000	DBLP DOI BibTeX RDF
20	Zijian Zheng, Boon Toh Low	Classifying Unseen Cases with Many Missing Values.	PAKDD	1999	DBLP DOI BibTeX RDF
18	Muhammad Kashif Khan, Ahmer Umer	An Experimental Evaluation of Ensemble Methods for Pattern Classification.	CICSyN	2011	DBLP DOI BibTeX RDF	pattern recognition, boosting, bagging, ensemble methods, random forest
18	Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse	Predicting Faults in High Assurance Software.	HASE	2010	DBLP DOI BibTeX RDF	classification, software measurements, bagging, defect prediction, imbalanced data, data sampling
18	Hui Li 0092, Jianan Wang, Ting Gao, Yinghua Lu, Zhongmin Su	Accurate Prediction of the Optical Absorption Energies by Neural Network Ensemble Approach.	FCST	2010	DBLP DOI BibTeX RDF	Absorption energy, Neural networks, bagging, Neural network ensemble, Density functional theory
18	Chun-Xia Zhang 0002, Jiang-She Zhang 0001	A novel method for constructing ensemble classifiers.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Kappa-error diagram, Principal component analysis, Bootstrap, Adaboost, Bagging, Random forest, Ensemble classifier
18	Rongrong Ji, Hongxun Yao, Pengfei Xu 0001, Xiaoshuai Sun	Visual and textual fusion for semantically supervised region-based retrieval.	Multim. Syst.	2009	DBLP DOI BibTeX RDF	Visual and textual fusion, Multi-label annotation, Pairwise coupling, Bayesian formulation, Soft region matching, Visual dictionary, Visual and textual learning, Image retrieval, Relevance feedback, Image annotation, Bagging
18	Bruno Baruque, Emilio Corchado, Aitor Mata, Juan M. Corchado	Ensemble Methods for Boosting Visualization Models.	IWANN (1)	2009	DBLP DOI BibTeX RDF	unsupervised learning, boosting, bagging, topology preserving mappings
18	Takao Kobayashi, Ikuko Shimizu	A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation.	MLDM	2009	DBLP DOI BibTeX RDF	1-NN method, Naïve Bayes, Bagging, Locality sensitive hashing
18	Ping Yao	Credit Scoring Using Ensemble Machine Learning.	HIS (3)	2009	DBLP DOI BibTeX RDF	ensemble machine learning, adaboost, bagging, CART, credit scoring
18	Simon Bernard 0001, Laurent Heutte, Sébastien Adam	Forest-RK: A New Random Forest Induction Method.	ICIC (2)	2008	DBLP DOI BibTeX RDF	Classification, Decision Trees, Bagging, Classifier Combination, Classifier Ensemble, Random Forests
18	M. A. El-Gamal, M. D. A. Mohamed	Ensembles of Neural Networks for Fault Diagnosis in Analog Circuits.	J. Electron. Test.	2007	DBLP DOI BibTeX RDF	fault simulation, boosting, ensemble learning, analog circuits, bagging, fault classification
18	Dhiraj Joshi, Milind R. Naphade, Apostol Natsev	Semantics reinforcement and fusion learning for multimedia streams.	CIVR	2007	DBLP DOI BibTeX RDF	mean average precision, semantics reinforcement, multimedia streams, bagging, late fusion
18	Emilio Corchado, Bruno Baruque, Hujun Yin	Boosting Unsupervised Competitive Learning Ensembles.	ICANN (1)	2007	DBLP DOI BibTeX RDF	unsupervised learning, boosting, bagging, topology preserving mappings
18	Bin He 0001, Kevin Chen-Chuan Chang	Automatic complex schema matching across Web query interfaces: A correlation mining approach.	ACM Trans. Database Syst.	2006	DBLP DOI BibTeX RDF	bagging predictors, Data integration, ensemble, schema matching, deep Web, correlation mining
18	Rich Caruana, Mohamed Farid Elhawary, Art Munson, Mirek Riedewald, Daria Sorokina, Daniel Fink 0002, Wesley M. Hochachka, Steve Kelling	Mining citizen science data to predict orevalence of wild bird species.	KDD	2006	DBLP DOI BibTeX RDF	attribute importance, model inspection, partial dependence function, decision trees, sensitivity analysis, bagging
18	Simon Günter, Horst Bunke	Ensembles of classifiers for handwritten word recognition.	Int. J. Document Anal. Recognit.	2003	DBLP DOI BibTeX RDF	Ensemble creation methods, Hidden Markov models (HMM), Boosting, Bagging, Classifier combination, Random subspace method, Handwritten text recognition
18	Tin Kam Ho	A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Decision forest, Decision tree, Bagging, Classifier combination, Data complexity, Random subspace method
18	Joshua Alspector, Aleksander Kolcz, Nachimuthu Karunanithi	Feature-based and Clique-based User Models for Movie Selection: A Comparative Study.	User Model. User Adapt. Interact.	1997	DBLP DOI BibTeX RDF	neural networks, feature extraction, collaborative filtering, User modeling, information filtering, bagging, linear models, CART, regression trees
15	Yongbing Jin, Teng Ran, Liang Yuan, Kai Lv, Guoliang Wang, Wendong Xiao	Bagging in Hidden Semi-Markov Model for handwriting robot trajectory generation.	J. Intell. Fuzzy Syst.	2024	DBLP DOI BibTeX RDF
15	Bhupendra Kumar, Neha Yadav, Sunil	A Bagging Ensemble Algorithm for Seasonal Time Series Forecasting.	SN Comput. Sci.	2024	DBLP DOI BibTeX RDF
15	Junyi Wang, Xuezheng Jiang, Hailian Liu, Haibin Cai, Qinggang Meng	An adaptive Bagging algorithm based on lightweight transformer for multi-class imbalance recognition.	Multim. Syst.	2024	DBLP DOI BibTeX RDF
15	Wensheng Wang, Zhiliang Liang	Financial Distress Early Warning for Chinese Enterprises from a Systemic Risk Perspective: Based on the Adaptive Weighted XGBoost-Bagging Model.	Syst.	2024	DBLP DOI BibTeX RDF