Search results for "overfitting"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	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
3	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
3	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
3	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
3	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
3	Pengfei Han, Xiuzhen Zhang, 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
3	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
3	Nate Foreman, Matthew P. Evett	Preventing overfitting in GP with canary functions.	GECCO	2005	DBLP DOI BibTeX RDF	genetic programming, overfitting
3	Markus Junker, Andreas Dengel	Preventing Overfitting in Learning Text Patterns for Document Categorization.	ICAPR	2001	DBLP DOI BibTeX RDF	Application, Text Categorization, Pruning, Rule Learning, Overfitting
3	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
2	Wil M. P. van der Aalst, Vladimir 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.	Software and System Modeling	2010	DBLP DOI BibTeX RDF
2	Irina Astrovskaya, Alexander Zelikovsky	Genotype Tagging with Limited Overfitting.	BSB	2009	DBLP DOI BibTeX RDF	genotype tagging, linear programming, hypergraph, minimum dominating set
2	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
2	Yinyin Liu, Janusz A. Starzyk, Zhen Zhu	Optimized Approximation Algorithm in Neural Networks Without Overfitting.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
2	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
2	Thomas Weise, 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
2	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
2	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
2	Alexander Vezhnevets, Olga Barinova	Avoiding Boosting Overfitting by Removing Confusing Samples.	ECML	2007	DBLP DOI BibTeX RDF
2	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
2	Marcin Wojnarski	Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks.	ECML	2007	DBLP DOI BibTeX RDF	Overtraining, Generalization, Regularization, Overfitting
2	Yunjin Lee, Seungyong Lee, Ioannis P. Ivrissimtzis, Hans-Peter Seidel	Overfitting control for surface reconstruction.	Symposium on Geometry Processing	2006	DBLP DOI BibTeX RDF
2	Yi Liu, Taghi M. Khoshgoftaar	Reducing Overfitting in Genetic Programming Models for Software Quality Classification.	HASE	2004	DBLP DOI BibTeX RDF
2	Shu-Heng Chen, Tzu-Wen Kuo	Overfitting or Poor Learning: A Critique of Current Financial Applications of GP.	EuroGP	2003	DBLP DOI BibTeX RDF
2	Gabriella Kókai	Development of Methods How to Avoid the Overfitting-Effect within the GeLog-System.	KES	2003	DBLP DOI BibTeX RDF
2	Grégory Paris, Denis Robilliard, Cyril Fonlupt	Exploring Overfitting in Genetic Programming.	Artificial Evolution	2003	DBLP DOI BibTeX RDF
2	Ratthachat Chatpatanasiri, Boonserm Kijsirikul	Learning First-Order Bayesian Networks.	Canadian Conference on AI	2003	DBLP DOI BibTeX RDF	First-Order Bayesian Networks, Overfitting Problem, Propositionalisation, Feature Extraction, Inductive Logic Programming
2	Qun Sun, Xiuzhen Zhang, 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
2	Max Bramer	Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains.	IDEAL	2002	DBLP DOI BibTeX RDF
2	Max Bramer	Using J-Pruning to Reduce Overfitting of Classification Rules in Noisy Domains.	DEXA	2002	DBLP DOI BibTeX RDF
2	Denis Robilliard, Cyril Fonlupt	Backwarding : An Overfitting Control for Genetic Programming in a Remote Sensing Application.	Artificial Evolution	2001	DBLP DOI BibTeX RDF
2	Steve Lawrence, C. Lee Giles	Overfitting and Neural Networks: Conjugate Gradient and Backpropagation.	IJCNN	2000	DBLP DOI BibTeX RDF
2	Cullen Schaffer	When Does Overfitting Decrease Prediction Accuracy in Induced Decision Trees and Rule Sets?.	EWSL	1991	DBLP DOI BibTeX RDF
1	Ivo Gonçalves, Sara Silva, Joana B. Melo, João M. B. Carreiras	Random Sampling Technique for Overfitting Control in Genetic Programming.	EuroGP	2012	DBLP DOI BibTeX RDF
1	Ravi Mathur, J. David Schaffer, Walker H. Land Jr., John J. Heine, Jonathan M. Hernandez, Timothy Yeatman	Perturbation and candidate analysis to combat overfitting of gene expression microarray data.	I. J. Computational Biology and Drug Design	2011	DBLP DOI BibTeX RDF
1	Kit Yan Chan, C. K. Kwong, Tharam Singh Dillon, Y. C. Tsim	Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming.	Appl. Soft Comput.	2011	DBLP DOI BibTeX RDF
1	Dean P. Foster, Sham M. Kakade, Ruslan Salakhutdinov	Domain Adaptation: Overfitting and Small Sample Statistics	CoRR	2011	DBLP BibTeX RDF
1	Clíodhna Tuite, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon	Early stopping criteria to counteract overfitting in genetic programming.	GECCO (Companion)	2011	DBLP DOI BibTeX RDF
1	Gabriel Kronberger, Michael Kommenda, Michael Affenzeller	Overfitting detection and adaptive covariant parsimony pressure for symbolic regression.	GECCO (Companion)	2011	DBLP DOI BibTeX RDF
1	Clíodhna Tuite, Alexandros Agapitos, Michael O'Neill, Anthony Brabazon	A Preliminary Investigation of Overfitting in Evolutionary Driven Model Induction: Implications for Financial Modelling.	EvoApplications	2011	DBLP DOI BibTeX RDF
1	Leonardo Trujillo, Sara Silva, Pierrick Legrand, Leonardo Vanneschi	An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming.	EuroGP	2011	DBLP DOI BibTeX RDF
1	Joseph Rynkiewicz	General bound of overfitting for MLP regression models.	ESANN	2011	DBLP BibTeX RDF
1	Geoffrey I. Webb	Overfitting.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Andrich B. van Wyk, Andries Petrus Engelbrecht	Overfitting by PSO trained feedforward neural networks.	IEEE Congress on Evolutionary Computation	2010	DBLP DOI BibTeX RDF
1	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
1	Cassio Pennachin, Moshe Looks, João A. de Vasconcelos	Robust symbolic regression with affine arithmetic.	GECCO	2010	DBLP DOI BibTeX RDF	robustness, symbolic regression, affine arithmetic
1	Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel	Classification of tumor marker values using heuristic data mining methods.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	tumor marker data, data mining, machine learning, classification, statistical analysis
1	Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani	Feature selection for ordinal regression.	SAC	2010	DBLP DOI BibTeX RDF	ordinal classification, feature selection, ordinal regression, product reviews
1	Deepak Agarwal, Bee-Chung Chen	fLDA: matrix factorization through latent dirichlet allocation.	WSDM	2010	DBLP DOI BibTeX RDF	latent factor model, supervised topic model, recommender systems, collaborative filtering, graphical model, bayesian hierarchical model
1	Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin	Overfitting cautious selection of classifier ensembles with genetic algorithms.	Information Fusion	2009	DBLP DOI BibTeX RDF
1		Overfitting.	Encyclopedia of Biometrics	2009	DBLP DOI BibTeX RDF
1	Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang Wang, Dong Wang, Zheng Chen	A general magnitude-preserving boosting algorithm for search ranking.	CIKM	2009	DBLP DOI BibTeX RDF	directed distance function (ddf), magnitude-preserving, pairwise-preference
1	Kourosh Neshatian, Mengjie Zhang	Pareto front feature selection: using genetic programming to explore feature space.	GECCO	2009	DBLP DOI BibTeX RDF	filter approach, genetic programming, feature subset selection, pareto front
1	Oner Ulvi Celepcikay, Christoph F. Eick	REG^2: a regional regression framework for geo-referenced datasets.	GIS	2009	DBLP DOI BibTeX RDF	regional knowledge discovery, regional regression, clustering, spatial data mining, regression analysis
1	Yihua Chen, Maya R. Gupta, Benjamin Recht	Learning kernels from indefinite similarities.	ICML	2009	DBLP DOI BibTeX RDF
1	Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney	Constrained optimization for validation-guided conditional random field learning.	KDD	2009	DBLP DOI BibTeX RDF	extended saddle points, constrained optimization, conditional random fields, cross validation
1	Bao-Hong Shen, Shuiwang Ji, Jieping Ye	Mining discrete patterns via binary matrix factorization.	KDD	2009	DBLP DOI BibTeX RDF	binary matrix factorization, rank-one, regularization, integer linear program, maximum flow, minimum cut
1	Topon Kumar Paul, Hitoshi Iba	Prediction of Cancer Class with Majority Voting Genetic Programming Classifier Using Gene Expression Data.	IEEE/ACM Trans. Comput. Biology Bioinform.	2009	DBLP DOI BibTeX RDF	data mining, feature extraction, gene expression, majority voting, Classifier design and evaluation, evolutionary computing and genetic algorithm
1	Martin Gutlein, Eibe Frank, Mark Hall, Andreas Karwath	Large-scale attribute selection using wrappers.	CIDM	2009	DBLP DOI BibTeX RDF
1	Markus Wüthrich, Marcus Liwicki, Andreas Fischer, Emanuel Indermühle, Horst Bunke, Gabriel Viehhauser, Michael Stolz	Language Model Integration for the Recognition of Handwritten Medieval Documents.	ICDAR	2009	DBLP DOI BibTeX RDF
1	Young-Woo Seo, Chris Urmson	Utilizing prior information to enhance self-supervised aerial image analysis for extracting parking lot structures.	IROS	2009	DBLP DOI BibTeX RDF
1	Qiang Niu, Shi-Xiong Xia, Lei Zhang	Association Classification Based on Compactness of Rules.	WKDD	2009	DBLP DOI BibTeX RDF
1	Nina S. T. Hirata	Multilevel Training of Binary Morphological Operators.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
1	Fan Jiang, Ying Wu, Aggelos K. Katsaggelos	A Dynamic Hierarchical Clustering Method for Trajectory-Based Unusual Video Event Detection.	IEEE Transactions on Image Processing	2009	DBLP DOI BibTeX RDF
1	Xiaofeng Wang, De-Shuang Huang	A Novel Density-Based Clustering Framework by Using Level Set Method.	IEEE Trans. Knowl. Data Eng.	2009	DBLP DOI BibTeX RDF
1	Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay Ng	Ensemble Approach for the Classification of Imbalanced Data.	Australasian Conference on Artificial Intelligence	2009	DBLP DOI BibTeX RDF	gradient-based optimisation, decision trees, boosting, random forest, ensemble classifier
1	Erik Rodner, Joachim Denzler	Randomized Probabilistic Latent Semantic Analysis for Scene Recognition.	CIARP	2009	DBLP DOI BibTeX RDF
1	Enrique Argones-Rúa, David Pérez-Piñar López, José Luis Alba-Castro	Ergodic HMM-UBM System for On-Line Signature Verification.	COST 2101/2102 Conference	2009	DBLP DOI BibTeX RDF
1	Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Miki, Hisatake Yokouchi	Application of MOGA Search Strategy to SVM Training Data Selection.	EMO	2009	DBLP DOI BibTeX RDF
1	Leonardo Vanneschi, Sara Silva	Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming.	EPIA	2009	DBLP DOI BibTeX RDF
1	Vladimir Cherkassky, Wuyang Dai	Empirical Study of the Universum SVM Learning for High-Dimensional Data.	ICANN	2009	DBLP DOI BibTeX RDF
1	Manuel Martín-Merino, Javier De Las Rivas	Kernel Alignment k-NN for Human Cancer Classification Using the Gene Expression Profiles.	ICANN	2009	DBLP DOI BibTeX RDF
1	Ginés Rubio, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Guillén	Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.	ICANN	2009	DBLP DOI BibTeX RDF
1	Manuel Martín-Merino, Javier De Las Rivas	Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles.	IDA	2009	DBLP DOI BibTeX RDF
1	Horng-Lin Shieh	A Robust Support Vector Regression Based on Fuzzy Clustering.	IEA/AIE	2009	DBLP DOI BibTeX RDF	robust, noise, Fuzzy Clustering, outlier, Support vector regression
1	Samuel Robert Reid, Gregory Z. Grudic	Regularized Linear Models in Stacked Generalization.	MCS	2009	DBLP DOI BibTeX RDF
1	Albert D. Shieh, David F. Kamm	Ensembles of One Class Support Vector Machines.	MCS	2009	DBLP DOI BibTeX RDF
1	Raymond S. Smith, Terry Windeatt	The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles.	MCS	2009	DBLP DOI BibTeX RDF
1	Shinichi Nakajima, Masashi Sugiyama	Analysis of Variational Bayesian Matrix Factorization.	PAKDD	2009	DBLP DOI BibTeX RDF
1	Ulrich Rückert 0002	Capacity Control for Partially Ordered Feature Sets.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	capacity control, partially ordered features, graph mining, QSAR
1	Tomonari Masada, Atsuhiro Takasu, Tsuyoshi Hamada, Yuichiro Shibata, Kiyoshi Oguri	Bag of Timestamps: A Simple and Efficient Bayesian Chronological Mining.	APWeb/WAIM	2009	DBLP DOI BibTeX RDF
1	Jochen Garcke, Markus Hegland	Fitting multidimensional data using gradient penalties and the sparse grid combination technique.	Computing	2009	DBLP DOI BibTeX RDF	Mathematics Subject Classification (2000) 62G08, 62J02, 65D10
1	Kamran Shafi, Tim Kovacs, Hussein A. Abbass, Weiping Zhu 0001	Intrusion detection with evolutionary learning classifier systems.	Natural Computing	2009	DBLP DOI BibTeX RDF	Learning classifier systems, XCS, LCS, Intrusion, UCS
1	Emna Bahri, Stéphane Lallich, Nicolas Nicoloyannis, Mondher Maddouri	A Hybrid Approach of Boosting Against Noisy Data.	Mining Complex Data	2009	DBLP DOI BibTeX RDF
1	Thomas Weise, Michael Zapf, Raymond Chiong, Antonio J. Nebro	Why Is Optimization Difficult?.	Nature-Inspired Algorithms for Optimisation	2009	DBLP DOI BibTeX RDF
1	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
1	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
1	Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai	Modeling hidden topics on document manifold.	CIKM	2008	DBLP DOI BibTeX RDF	manifold regularization, probabilistic latent semantic indexing, generative model, document representation
1	Shelly Xiaonan Wu, Wolfgang Banzhaf	Combatting financial fraud: a coevolutionary anomaly detection approach.	GECCO	2008	DBLP DOI BibTeX RDF	financial fraud, parisian approach, self-nonself space pattern construction, fuzzy logic, anomaly detection, ecology, coevolutionary algorithms
1	Hakan Cevikalp, Bill Triggs, Robi Polikar	Nearest hyperdisk methods for high-dimensional classification.	ICML	2008	DBLP DOI BibTeX RDF
1	Georg Heigold, Thomas Deselaers, Ralf Schlüter, Hermann Ney	Modified MMI/MPE: a direct evaluation of the margin in speech recognition.	ICML	2008	DBLP DOI BibTeX RDF
1	Ruslan Salakhutdinov, Andriy Mnih	Bayesian probabilistic matrix factorization using Markov chain Monte Carlo.	ICML	2008	DBLP DOI BibTeX RDF
1	Bo Geng, Linjun Yang, Chao Xu, Xian-Sheng Hua	Collaborative learning for image and video annotation.	Multimedia Information Retrieval	2008	DBLP DOI BibTeX RDF	concept correlation, image annotation, video annotation
1	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
1	Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka	A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology.	TKDD	2008	DBLP DOI BibTeX RDF	labeled ordered trees, probabilistic models, maximum likelihood, Expectation-maximization
1	Dimitrios H. Mantzaris, George C. Anastassopoulos, Dimitrios K. Lymberopoulos	Medical disease prediction using Artificial Neural Networks.	BIBE	2008	DBLP DOI BibTeX RDF
1	Jiang Wei, Lv Jiake, Wang Xuan, Sun Rongrong	A Novel Hybrid Approach of KPCA and SVM for Crop Quality Classification.	CSSE	2008	DBLP DOI BibTeX RDF
1	Ralph Gross, Latanya Sweeney, Fernando De la Torre, Simon Baker	Semi-supervised learning of multi-factor models for face de-identification.	CVPR	2008	DBLP DOI BibTeX RDF
1	Xiao Zhang, Lin Liang, Xiaoou Tang, Heung-Yeung Shum	L1 regularized projection pursuit for additive model learning.	CVPR	2008	DBLP DOI BibTeX RDF
1	Christie M. Fuller, David P. Biros, Dursun Delen	Exploration of Feature Selection and Advanced Classification Models for High-Stakes Deception Detection.	HICSS	2008	DBLP DOI BibTeX RDF