Search results for "overfitting"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
89	Hao Wu, Jonathan L. Shapiro	Does overfitting affect performance in estimation of distribution algorithms.	GECCO	2006	DBLP DOI BibTeX RDF	random 3-SAT, estimation of distribution algorithms, overfitting, Bayesian optimization algorithm
79	Leonardo Vanneschi, Mauro Castelli, Sara Silva	Measuring bloat, overfitting and functional complexity in genetic programming.	GECCO	2010	DBLP DOI BibTeX RDF	complexity, genetic programming, bloat, overfitting
79	Eulanda Miranda dos Santos, Luiz S. Oliveira, Robert Sabourin, Patrick Maupin	Overfitting in the selection of classifier ensembles: a comparative study between PSO and GA.	GECCO	2008	DBLP DOI BibTeX RDF	classifier ensembles selection, GA, PSO, overfitting
79	Pengfei Han, Xiuzhen Zhang 0001, Raymond S. Norton, Zhi-Ping Feng	Reducing Overfitting in Predicting Intrinsically Unstructured Proteins.	PAKDD	2007	DBLP DOI BibTeX RDF	intrinsically unstructured proteins, disordered region, amino acid composition, decision tree, random forest, overfitting
79	Taghi M. Khoshgoftaar, Edward B. Allen, Jianyu Deng	Controlling Overfitting in Software Quality Models: Experiments with Regression Trees and Classification.	IEEE METRICS	2001	DBLP DOI BibTeX RDF	classification, software maintenance, software metrics, software reliability, overfitting, regression trees, fault-prone modules, S-Plus
77	Yi Liu 0023, Taghi M. Khoshgoftaar	Reducing Overfitting in Genetic Programming Models for Software Quality Classification.	HASE	2004	DBLP DOI BibTeX RDF
77	Steve Lawrence, C. Lee Giles	Overfitting and Neural Networks: Conjugate Gradient and Backpropagation.	IJCNN (1)	2000	DBLP DOI BibTeX RDF
69	Nate Foreman, Matthew P. Evett	Preventing overfitting in GP with canary functions.	GECCO	2005	DBLP DOI BibTeX RDF	genetic programming, overfitting
67	Grégory Paris, Denis Robilliard, Cyril Fonlupt	Exploring Overfitting in Genetic Programming.	Artificial Evolution	2003	DBLP DOI BibTeX RDF
63	Qun Sun, Xiuzhen Zhang 0001, Kotagiri Ramamohanarao	Noise Tolerance of EP-Based Classifiers.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF	EP-based classifier, Classification, Noise, Overfitting, Knowledge Discovery and Data Mining
59	Sara Silva, Leonardo Vanneschi	Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction.	GECCO	2009	DBLP DOI BibTeX RDF	human oral bioavailability, operator equalisation, genetic programming, regression, real-world application, bloat, overfitting
59	Huy Nguyen Anh Pham, Evangelos Triantaphyllou	The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining.	Soft Computing for Knowledge Discovery and Data Mining	2008	DBLP DOI BibTeX RDF	overgeneralization, falsepositive, homogenous set, homogeneity degree, optimization, classification, prediction, overfitting, false-negative
59	Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan	From mating pool distributions to model overfitting.	GECCO	2008	DBLP DOI BibTeX RDF	bayesian networks, selection, estimation of distribution algorithms, overfitting, bayesian optimization algorithm
57	Irina Astrovskaya, Alexander Zelikovsky	Genotype Tagging with Limited Overfitting.	BSB	2009	DBLP DOI BibTeX RDF	genotype tagging, linear programming, hypergraph, minimum dominating set
57	Yinyin Liu, Janusz A. Starzyk, Zhen Zhu	Optimized Approximation Algorithm in Neural Networks Without Overfitting.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
57	Alexander Vezhnevets, Olga Barinova	Avoiding Boosting Overfitting by Removing Confusing Samples.	ECML	2007	DBLP DOI BibTeX RDF
57	Shu-Heng Chen, Tzu-Wen Kuo	Overfitting or Poor Learning: A Critique of Current Financial Applications of GP.	EuroGP	2003	DBLP DOI BibTeX RDF
49	Markus Junker 0002, Andreas Dengel 0001	Preventing Overfitting in Learning Text Patterns for Document Categorization.	ICAPR	2001	DBLP DOI BibTeX RDF	Application, Text Categorization, Pruning, Rule Learning, Overfitting
47	Wil M. P. van der Aalst, Vladimir A. Rubin, H. M. W. Verbeek, Boudewijn F. van Dongen, Ekkart Kindler, Christian W. Günther	Process mining: a two-step approach to balance between underfitting and overfitting.	Softw. Syst. Model.	2010	DBLP DOI BibTeX RDF
47	Denis Robilliard, Cyril Fonlupt	Backwarding : An Overfitting Control for Genetic Programming in a Remote Sensing Application.	Artificial Evolution	2001	DBLP DOI BibTeX RDF
42	Tongyuan Wang, Bipin C. Desai	Issues in pattern mining and their resolutions.	C3S2E	2009	DBLP DOI BibTeX RDF	probability anomaly, data mining, reliability, sampling, overfitting, frequency distribution
42	Marcin Wojnarski	Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks.	ECML	2007	DBLP DOI BibTeX RDF	Overtraining, Generalization, Regularization, Overfitting
41	Leonardo Vanneschi, Sara Silva	Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming.	EPIA	2009	DBLP DOI BibTeX RDF
41	William W. Hsieh	Nonlinear principal component analysis of noisy data.	IJCNN	2006	DBLP DOI BibTeX RDF
37	Masaki Murata, Tomohiro Mitsumori, Kouichi Doi	Overfitting in protein name recognition on biomedical literature and method of preventing it through use of transductive SVM.	ITNG	2007	DBLP DOI BibTeX RDF
37	Gabriella Kókai	Development of Methods How to Avoid the Overfitting-Effect within the GeLog-System.	KES	2003	DBLP DOI BibTeX RDF
37	Max Bramer	Using J-Pruning to Reduce Overfitting of Classification Rules in Noisy Domains.	DEXA	2002	DBLP DOI BibTeX RDF
37	Max Bramer	Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains.	IDEAL	2002	DBLP DOI BibTeX RDF
37	Cullen Schaffer	When Does Overfitting Decrease Prediction Accuracy in Induced Decision Trees and Rule Sets?.	EWSL	1991	DBLP DOI BibTeX RDF
33	Sanad Aburass	Quantifying Overfitting: Introducing the Overfitting Index.	CoRR	2023	DBLP DOI BibTeX RDF
33	Chaoning Zhang, Kang Zhang 0008, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon	Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation.	CoRR	2022	DBLP BibTeX RDF
32	Thomas Weise 0001, Stefan Niemczyk, Hendrik Skubch, Roland Reichle, Kurt Geihs	A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes.	GECCO	2008	DBLP DOI BibTeX RDF	oversimplification, ruggedness, genetic algorithm, model, benchmark, deceptiveness, fitness landscape, multi-objective, overfitting, epistasis, neutrality
32	Hao Wu, Jonathan L. Shapiro	Parameter cross-validation and early-stopping in univariate marginal distribution algorithm.	GECCO	2007	DBLP DOI BibTeX RDF	early-stopping, univariate marginal distribution algorithm (UMDA), cross-validation, overfitting
32	Ratthachat Chatpatanasiri, Boonserm Kijsirikul	Learning First-Order Bayesian Networks.	AI	2003	DBLP DOI BibTeX RDF	First-Order Bayesian Networks, Overfitting Problem, Propositionalisation, Feature Extraction, Inductive Logic Programming
30	Peter A. N. Bosman	The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization.	GECCO	2010	DBLP DOI BibTeX RDF	multi-objective optimization, estimation of distribution algorithms, anticipation, mixture distribution
30	Martin Gütlein, Eibe Frank, Mark A. Hall, Andreas Karwath	Large-scale attribute selection using wrappers.	CIDM	2009	DBLP DOI BibTeX RDF
30	Yu Gong, Xia Hong 0001	A New Algorithm for OFDM Joint Data Detection and Phase Noise Cancellation.	ICC	2008	DBLP DOI BibTeX RDF
30	Jun'ichi Kazama, Jun'ichi Tsujii	Maximum Entropy Models with Inequality Constraints: A Case Study on Text Categorization.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	feature selection, text categorization, regularization, maximum entropy model, inequality constraint
30	Matej Sprogar, Peter Kokol, Silvia Alayón	Autonomous Evolutionary Algorithm in Medical Data Analysis.	CBMS	2002	DBLP DOI BibTeX RDF
30	David Cubanski, David Cyganski	Multivariate Classification through Adaptive Delaunay-Based C0 Spline Approximation.	IEEE Trans. Pattern Anal. Mach. Intell.	1995	DBLP DOI BibTeX RDF	neural networks, approximation, Pattern classification, ECG, splines, non-linear optimization
27	Kaveh Mahdaviani, Helga Mazyar, Saeed Majidi, Mohammad H. Saraee	A method to resolve the overfitting problem in recurrent neural networks for prediction of complex systems' behavior.	IJCNN	2008	DBLP DOI BibTeX RDF
27	Ingo Mierswa	Controlling overfitting with multi-objective support vector machines.	GECCO	2007	DBLP DOI BibTeX RDF	machine learning, support vector machines, kernel methods, evolution strategies
27	Yunjin Lee, Seungyong Lee 0001, Ioannis P. Ivrissimtzis, Hans-Peter Seidel	Overfitting control for surface reconstruction.	Symposium on Geometry Processing	2006	DBLP DOI BibTeX RDF
22	Tuan Hao Hoang, Robert I. McKay, Daryl Essam, Nguyen Xuan Hoai	Learning General Solutions through Multiple Evaluations during Development.	ICES	2008	DBLP DOI BibTeX RDF	Generalisation, Hyper-heuristics, Overfitting, Parsimony, Developmental Genetic Programming
22	Dirk J. W. De Pauw, Bernard De Baets	Incorporating model identifiability into equation discovery of ODE systems.	GECCO (Companion)	2008	DBLP DOI BibTeX RDF	equation discovery, genetic programming, identifiability, overfitting, model complexity
22	V. Vijaya Saradhi, Harish Karnick	On the Stability and Bias-Variance Analysis of Kernel Matrix Learning.	Canadian AI	2007	DBLP DOI BibTeX RDF	Kernel matrix learning, bias-variance, stability, bootstrap, error estimation, overfitting
22	A. Mechaqrane, Mohcine Zouak	A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building.	Neural Comput. Appl.	2004	DBLP DOI BibTeX RDF	Neural network ARX model, Optimal brain surgeon strategy, Pruned neural network, Generalisation, Overfitting, Feedforward network
22	Peter van der Putten, Maarten van Someren	A Bias-Variance Analysis of a Real World Learning Problem: The CoIL Challenge 2000.	Mach. Learn.	2004	DBLP DOI BibTeX RDF	bias-variance decomposition, real world applications, overfitting
20	Samuel Robert Reid, Gregory Z. Grudic	Regularized Linear Models in Stacked Generalization.	MCS	2009	DBLP DOI BibTeX RDF
20	Albert D. Shieh, David F. Kamm	Ensembles of One Class Support Vector Machines.	MCS	2009	DBLP DOI BibTeX RDF
20	Shuiwang Ji, Jieping Ye	Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.	IEEE Trans. Knowl. Data Eng.	2008	DBLP DOI BibTeX RDF
20	Liefeng Bo, Ling Wang 0003, Licheng Jiao	Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
20	Kiruthika Ramanathan, Sheng Uei Guan	Enhancing Recursive Supervised Learning Using Clustering and Combinatorial Optimization (RSL-CC).	Engineering Evolutionary Intelligent Systems	2008	DBLP DOI BibTeX RDF
20	Huy Nguyen Anh Pham, Evangelos Triantaphyllou	Prediction of Diabetes by Employing a New Data Mining Approach Which Balances Fitting and Generalization.	Computer and Information Science	2008	DBLP DOI BibTeX RDF
20	Takashi Isozaki, Noriji Kato, Maomi Ueno	Minimum Free Energies with "Data Temperature" for Parameter Learning of Bayesian Networks.	ICTAI (1)	2008	DBLP DOI BibTeX RDF
20	Zuobing Xu, Ram Akella	A bayesian logistic regression model for active relevance feedback.	SIGIR	2008	DBLP DOI BibTeX RDF	bayesian logistic regression, relevance feedback, active learning
20	Iván Olier, Alfredo Vellido	On the benefits for model regularization of a variational formulation of GTM.	IJCNN	2008	DBLP DOI BibTeX RDF
20	Di Huang 0002, Tommy W. S. Chow	Effective Gene Selection Method With Small Sample Sets Using Gradient-Based and Point Injection Techniques.	IEEE ACM Trans. Comput. Biol. Bioinform.	2007	DBLP DOI BibTeX RDF	gradient based learning, optimization theory, point injection, gene selection
20	Dacheng Tao, Xuelong Li 0001, Xindong Wu 0001, Weiming Hu, Stephen J. Maybank	Supervised tensor learning.	Knowl. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Alternating projection, Supervised learning, Convex optimization, Tensor
20	Fan Jiang, Ying Wu 0001, Aggelos K. Katsaggelos	Abnormal Event Detection from Surveillance Video by Dynamic Hierarchical Clustering.	ICIP (5)	2007	DBLP DOI BibTeX RDF
20	Oscar Déniz, Modesto Castrillón Santana, Javier Lorenzo 0001, Mario Hernández	CASIMIRO, The Sociable Robot.	EUROCAST	2007	DBLP DOI BibTeX RDF	Human-Robot Interaction, Social Robots
20	Masashi Sekino, Katsumi Nitta	Unbiased Learning for Hierarchical Models.	IJCNN	2007	DBLP DOI BibTeX RDF
20	Masashi Sekino, Katsumi Nitta	Unbiased Likelihood Backpropagation Learning.	ICONIP (1)	2007	DBLP DOI BibTeX RDF
20	Michael Rimer, Tony R. Martinez	Classification-based objective functions.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Neural networks, Classification, Backpropagation, Objective functions
20	Kamran Shafi, Hussein A. Abbass, Weiping Zhu 0001	The Role of Early Stopping and Population Size in XCS for Intrusion Detection.	SEAL	2006	DBLP DOI BibTeX RDF
20	Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin	Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers.	IJCNN	2006	DBLP DOI BibTeX RDF
20	Thorsten Brants	Test Data Likelihood for PLSA Models.	Inf. Retr.	2005	DBLP DOI BibTeX RDF	PLSA, Probabilistic Latent Semantic Analysis, likelihood
20	Tae-Kyun Kim, Josef Kittler	Locally Linear Discriminant Analysis for Multimodally Distributed Classes for Face Recognition with a Single Model Image.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF
20	Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar	Streaming feature selection using alpha-investing.	KDD	2005	DBLP DOI BibTeX RDF	false discovery rate, classification, feature selection, multiple regression
20	Luo Si, Rong Jin 0001	Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis.	PAKDD	2005	DBLP DOI BibTeX RDF
20	Liefeng Bo, Ling Wang 0003, Licheng Jiao	Training Support Vector Machines Using Greedy Stagewise Algorithm.	PAKDD	2005	DBLP DOI BibTeX RDF
20	Wen Wang, Pieter H. A. J. M. van Gelder, J. K. Vrijling	Some Issues About the Generalization of Neural Networks for Time Series Prediction.	ICANN (2)	2005	DBLP DOI BibTeX RDF
20	Ryo Yoshida, Tomoyuki Higuchi, Seiya Imoto	A Mixed Factors Model for Dimension Reduction and Extraction of a Group Structure in Gene Expression Data.	CSB	2004	DBLP DOI BibTeX RDF
20	Marc Boullé	Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise.	MLDM	2003	DBLP DOI BibTeX RDF
20	Taehee Kwon, Hanseok Ko	GPD-Based State Modification by Weighted Linear Loss Function.	International Conference on Computational Science	2003	DBLP DOI BibTeX RDF
20	H. Daniels, B. Kamp	Application of MLP Networks to Bond Rating and House Pricing.	Neural Comput. Appl.	1999	DBLP DOI BibTeX RDF
20	Ten-Ho Lin, Von-Wun Soo	Pruning Fuzzy ARTMAP using the Minimum Description Length Principle in Learning from Clinical Databases.	ICTAI	1997	DBLP DOI BibTeX RDF	learning from database), minimum description length, fuzzy ARTMAP
20	Lutz Prechelt	Early Stopping-But When?	Neural Networks: Tricks of the Trade	1996	DBLP DOI BibTeX RDF
20	Yves Chauvin	Generalization Performance of Overtrained Back-Propagation Networks.	EURASIP Workshop	1990	DBLP DOI BibTeX RDF
17	Chunmei He, Xiuguang Li, Yue Xia, Jing Tang, Jie Yang, Zhengchun Ye	Addressing the Overfitting in Partial Domain Adaptation With Self-Training and Contrastive Learning.	IEEE Trans. Circuits Syst. Video Technol.	2024	DBLP DOI BibTeX RDF
17	Pablo Martínez-Camblor, Susana Díaz-Coto	Reducing the overfitting in the gROC curve estimation.	Comput. Stat.	2024	DBLP DOI BibTeX RDF
17	Lasai Barreñada, Paula Dhiman, Dirk Timmerman, Anne-Laure Boulesteix, Ben Van Calster	Understanding random forests and overfitting: a visualization and simulation study.	CoRR	2024	DBLP DOI BibTeX RDF
17	Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin	Catastrophic Overfitting: A Potential Blessing in Disguise.	CoRR	2024	DBLP DOI BibTeX RDF
17	Saeid Asgari Taghanaki, Joseph G. Lambourne	Detecting Generative Parroting through Overfitting Masked Autoencoders.	CoRR	2024	DBLP DOI BibTeX RDF
17	Banghua Zhu, Michael I. Jordan, Jiantao Jiao	Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF.	CoRR	2024	DBLP DOI BibTeX RDF
17	Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie	BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM.	CoRR	2024	DBLP DOI BibTeX RDF
17	Kedar Karhadkar, Erin George, Michael Murray, Guido Montúfar, Deanna Needell	Benign overfitting in leaky ReLU networks with moderate input dimension.	CoRR	2024	DBLP DOI BibTeX RDF
17	Yifan Hao, Tong Zhang	The Surprising Harmfulness of Benign Overfitting for Adversarial Robustness.	CoRR	2024	DBLP DOI BibTeX RDF
17	Michal Nauman, Michal Bortkiewicz, Mateusz Ostaszewski, Piotr Milos, Tomasz Trzcinski, Marek Cygan	Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning.	CoRR	2024	DBLP DOI BibTeX RDF
17	Elías Abad-Rocamora, Fanghui Liu 0001, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher	Efficient local linearity regularization to overcome catastrophic overfitting.	CoRR	2024	DBLP DOI BibTeX RDF
17	Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai	Robustly overfitting latents for flexible neural image compression.	CoRR	2024	DBLP DOI BibTeX RDF
17	Rushi Qiang, Ruiyi Zhang, Pengtao Xie	BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models.	CoRR	2024	DBLP DOI BibTeX RDF
17	Benjamin Roth 0001, Pedro Henrique Luz de Araujo, Yuxi Xia, Saskia Kaltenbrunner, Christoph Korab	Specification Overfitting in Artificial Intelligence.	CoRR	2024	DBLP DOI BibTeX RDF
17	Tin Sum Cheng, Aurélien Lucchi, Anastasis Kratsios, David Belius	Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum.	CoRR	2024	DBLP DOI BibTeX RDF
17	Linyu Tang, Lei Zhang	Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM.	CoRR	2024	DBLP DOI BibTeX RDF
17	Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang	Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting.	CoRR	2024	DBLP DOI BibTeX RDF
17	Jian Wei, Qinzhao Wang, Zixu Zhao	Generative adversarial network based on Poincaré distance similarity constraint: Focusing on overfitting problem caused by finite training data.	Appl. Soft Comput.	2024	DBLP DOI BibTeX RDF
17	Elkhan Ismayilzada, Md Mazba Ur Rahman, Dongsun Kim 0001, Jooyong Yi	Poracle: Testing Patches under Preservation Conditions to Combat the Overfitting Problem of Program Repair.	ACM Trans. Softw. Eng. Methodol.	2024	DBLP DOI BibTeX RDF
17	Cesar Beltran-Royo, Laura Llopis-Ibor, Juan José Pantrigo, Iván Ramírez	DC Neural Networks avoid overfitting in one-dimensional nonlinear regression.	Knowl. Based Syst.	2024	DBLP DOI BibTeX RDF
17	Antonio Tejero-de-Pablos	Complementary-Contradictory Feature Regularization against Multimodal Overfitting.	WACV	2024	DBLP DOI BibTeX RDF