Search results for "overfitting"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
10	Iván Olier, Alfredo Vellido	Variational GTM.	IDEAL	2007	DBLP DOI BibTeX RDF
10	Robert Burbidge, Jem J. Rowland, Ross D. King	Active Learning for Regression Based on Query by Committee.	IDEAL	2007	DBLP DOI BibTeX RDF
10	Stefano Merler, Giuseppe Jurman, Cesare Furlanello	Deriving the Kernel from Training Data.	MCS	2007	DBLP DOI BibTeX RDF
10	Yijuan Lu, Qi Tian 0001, Thomas S. Huang	Interactive Boosting for Image Classification.	MCS	2007	DBLP DOI BibTeX RDF	Feature Re-weighting, Relevance Feedback, Adaboost, Multiple Classifiers
10	Kyung Ho Lee, Kyung Su Kim, Jang Hyun Lee, Jong Hoon Park, Dong Geun Kim, Dae Suk Kim	Development of Enhanced Data Mining System to Approximate Empirical Formula for Ship Design.	KSEM	2007	DBLP DOI BibTeX RDF
10	Robert M. Bell, Yehuda Koren, Chris Volinsky	Modeling relationships at multiple scales to improve accuracy of large recommender systems.	KDD	2007	DBLP DOI BibTeX RDF	recommender systems, collaborative filtering, netflix prize
10	Siegfried Nijssen, Élisa Fromont	Mining optimal decision trees from itemset lattices.	KDD	2007	DBLP DOI BibTeX RDF	decision trees, frequent itemsets, constraint-based mining, formal concepts
10	Jun Du, Zhihua Cai, Charles X. Ling	Cost-Sensitive Decision Trees with Pre-pruning.	Canadian AI	2007	DBLP DOI BibTeX RDF
10	Zhirong Yang, Jorma Laaksonen	Regularized Neighborhood Component Analysis.	SCIA	2007	DBLP DOI BibTeX RDF
10	Prospero C. Naval Jr., John Paul Tan Yusiong	An Evolutionary Multi-objective Neural Network Optimizer with Bias-Based Pruning Heuristic.	ISNN (3)	2007	DBLP DOI BibTeX RDF
10	Mario Molinara, Maria Teresa Ricamato, Francesco Tortorella	Facing Imbalanced Classes through Aggregation of Classifiers.	ICIAP	2007	DBLP DOI BibTeX RDF
10	Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga	Two Bagging Algorithms with Coupled Learners to Encourage Diversity.	IDA	2007	DBLP DOI BibTeX RDF	Ensemble Diversity, Out-of-bag Estimation, Neural Networks, Bagging, Ensemble Methods, Regression Estimators
10	Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch	Knowledge reuse in genetic programming applied to visual learning.	GECCO	2007	DBLP DOI BibTeX RDF	machine learning, pattern recognition, genetic programming, knowledge reuse
10	Yijuan Lu, Tong Zhang 0007, Qi Tian 0001	i.Boosting for Image Classification.	ICME	2007	DBLP DOI BibTeX RDF
10	Chao Yuan, Claus Neubauer	A Variational Bayesian Approach for Classification with Corrupted Inputs.	CVPR	2007	DBLP DOI BibTeX RDF
10	Guo-Jun Qi, Xian-Sheng Hua 0001, Yong Rui, Tao Mei 0001, Jinhui Tang 0001, Hong-Jiang Zhang	Concurrent Multiple Instance Learning for Image Categorization.	CVPR	2007	DBLP DOI BibTeX RDF
10	Stephan M. Winkler, Michael Affenzeller, Stefan Wagner 0002	Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification.	EUROCAST	2007	DBLP DOI BibTeX RDF
10	Yuxin Jin, Linmi Tao, Guangyou Xu, Yuxin Peng	A Theoretical Approach to Construct Highly Discriminative Features with Application in AdaBoost.	ACCV (1)	2007	DBLP DOI BibTeX RDF
10	Yu Fu 0001, Antony Browne	Using Ensembles of Neural Networks to Improve Automatic Relevance Determination.	IJCNN	2007	DBLP DOI BibTeX RDF
10	Shaomin Wu, Peter A. Flach, Cèsar Ferri Ramirez	An Improved Model Selection Heuristic for AUC.	ECML	2007	DBLP DOI BibTeX RDF
10	Tapani Raiko, Alexander Ilin, Juha Karhunen	Principal Component Analysis for Large Scale Problems with Lots of Missing Values.	ECML	2007	DBLP DOI BibTeX RDF
10	Daria Sorokina, Rich Caruana, Mirek Riedewald	Additive Groves of Regression Trees.	ECML	2007	DBLP DOI BibTeX RDF
10	Emna Bahri, Nicolas Nicoloyannis, Mondher Maddouri	Improving Boosting by Exploiting Former Assumptions.	MCD	2007	DBLP DOI BibTeX RDF	Data mining, Machine learning, Classification, convergence, Boosting, Recall
10	Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu	Consistency Based Attribute Reduction.	PAKDD	2007	DBLP DOI BibTeX RDF
10	Feng Liu, Fengzhan Tian, QiLiang Zhu	An Improved Greedy Bayesian Network Learning Algorithm on Limited Data.	ICANN (1)	2007	DBLP DOI BibTeX RDF
10	Ignacio Barrio, Enrique Romero, Lluís Belanche	Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors.	ICANN (1)	2007	DBLP DOI BibTeX RDF
10	Yijuan Lu, Qi Tian 0001, Thomas S. Huang	Interactive Boosting for Image Classification.	MCAM	2007	DBLP DOI BibTeX RDF	Feature Re-weighting, Relevance Feedback, Adaboost, Multiple Classifiers
10	Benjamin Georgi, M. Anne Spence, Pamela Flodman, Alexander Schliep	Mixture Model Based Group Inference in Fused Genotype and Phenotype Data.	GfKl	2007	DBLP DOI BibTeX RDF
10	Yijuan Lu, Jingsheng Ma, Qi Tian 0001	FADA: An Efficient Dimension Reduction Scheme for Image Classification.	PCM	2007	DBLP DOI BibTeX RDF	Adaptive Discriminant Analysis, Image Classification
10	Nam Nguyen, Wanquan Liu, Svetha Venkatesh	Random Subspace Two-Dimensional PCA for Face Recognition.	PCM	2007	DBLP DOI BibTeX RDF
10	Feng Liu, Fengzhan Tian, QiLiang Zhu	A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data.	ADMA	2007	DBLP DOI BibTeX RDF
10	Feng Liu, Fengzhan Tian, QiLiang Zhu	A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data.	Australian Conference on Artificial Intelligence	2007	DBLP DOI BibTeX RDF
10	Luo Si, Rong Jin 0001, Steven C. H. Hoi, Michael R. Lyu	Collaborative image retrieval via regularized metric learning.	Multim. Syst.	2006	DBLP DOI BibTeX RDF	Log-based relevance feedback, Relevance feedback log, Relevance feedback, Content-based image retrieval, Regularization, Semidefinite programming, Users, Semantic gap, Metric learning
10	Yaxin Bi, Sally I. McClean, Terry J. Anderson	Combining rough decisions for intelligent text mining using Dempster's rule.	Artif. Intell. Rev.	2006	DBLP DOI BibTeX RDF	Dempster’s rule of combination, Rough set, Text mining, Rule induction
10	Dacheng Tao, Xiaoou Tang, Xuelong Li 0001, Xindong Wu 0001	Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Classifier committee learning, asymmetric bagging, support vector machines, relevance feedback, content-based image retrieval, random subspace
10	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
10	Bruce Merry, Patrick C. Marais, James E. Gain	Animation space: A truly linear framework for character animation.	ACM Trans. Graph.	2006	DBLP DOI BibTeX RDF	Character animation, skinning, parametrization
10	Luis Weruaga, Barbara Kieslinger	Tikhonov training of the CMAC neural network.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
10	Hui Kong 0001, Xuchun Li, Jian-Gang Wang, Chandra Kambhamettu	Ensemble LDA for Face Recognition.	ICB	2006	DBLP DOI BibTeX RDF
10	Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare	Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.	PKDD	2006	DBLP DOI BibTeX RDF
10	Jieping Ye, Tao Xiong, Qi Li 0001, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu	Efficient model selection for regularized linear discriminant analysis.	CIKM	2006	DBLP DOI BibTeX RDF	regularization, model selection, linear discriminant analysis, dimension reduction
10	Kenichi Kurihara, Taisuke Sato	Variational Bayesian Grammar Induction for Natural Language.	ICGI	2006	DBLP DOI BibTeX RDF
10	Karthik Sridharan, Matthew J. Beal, Venu Govindaraju	Competitive Mixtures of Simple Neurons.	ICPR (2)	2006	DBLP DOI BibTeX RDF
10	B. Michael Kelm, Chris Pal, Andrew McCallum	Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning.	ICPR (2)	2006	DBLP DOI BibTeX RDF
10	Nicolas Delannay, Cédric Archambeau, Michel Verleysen	Automatic Adjustment of Discriminant Adaptive Nearest Neighbor.	ICPR (2)	2006	DBLP DOI BibTeX RDF
10	Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhisa Ueda, Minoru Kanehisa, Hiroshi Mamitsuka	A new efficient probabilistic model for mining labeled ordered trees.	KDD	2006	DBLP DOI BibTeX RDF	labeled ordered trees, probabilistic models, maximum likelihood, expectation - maximization
10	Aristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen	Algorithms for discovering bucket orders from data.	KDD	2006	DBLP DOI BibTeX RDF	bucket order, ranking, partial order, ordering
10	Lloyd Allison	A programming paradigm for machine learning, with a case study of Bayesian networks.	ACSC	2006	DBLP BibTeX RDF	minimum length encoding, Bayesian networks, functional programming, Haskell, statistical models, inductive inference
10	Jarkko Ylipaavalniemi, Seppo Mattila, Antti Tarkiainen, Ricardo Vigário	Brains and Phantoms: An ICA Study of fMRI.	ICA	2006	DBLP DOI BibTeX RDF
10	Sylvain Ferrandiz, Marc Boullé	Supervised Selection of Dynamic Features, with an Application to Telecommunication Data Preparation.	ICDM	2006	DBLP DOI BibTeX RDF
10	Feng Chu 0002, Lipo Wang	Active Mining Discriminative Gene Sets.	ICAISC	2006	DBLP DOI BibTeX RDF
10	Ulf Johansson, Tuve Löfström, Rikard König, Lars Niklasson	Genetically Evolved Trees Representing Ensembles.	ICAISC	2006	DBLP DOI BibTeX RDF
10	Qing-Bin Gao, Zheng-Zhi Wang	Feature Subset Selection for Protein Subcellular Localization Prediction.	ICIC (3)	2006	DBLP DOI BibTeX RDF
10	Yantao Zheng, Lingyu Duan, Qi Tian 0002, Jesse S. Jin	TV Commercial Classification by using Multi-Modal Textual Information.	ICME	2006	DBLP DOI BibTeX RDF
10	N. Jeremy Hill, Thomas Navin Lal, Michael Schröder 0002, Thilo Hinterberger, Guido Widman, Christian Erich Elger, Bernhard Schölkopf, Niels Birbaumer	Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals.	DAGM-Symposium	2006	DBLP DOI BibTeX RDF
10	Philip J. Guo, Jeff H. Perkins, Stephen McCamant, Michael D. Ernst	Dynamic inference of abstract types.	ISSTA	2006	DBLP DOI BibTeX RDF	mixed-level analysis, values and variables, Java, interaction, C++, C, dynamic analysis, type inference, abstract types, units
10	Margarita Osadchy, Daniel Keren	Incorporating the Boltzmann Prior in Object Detection Using SVM.	CVPR (2)	2006	DBLP DOI BibTeX RDF
10	Atul Kanaujia, Dimitris N. Metaxas	Learning Ambiguities Using Bayesian Mixture of Experts.	ICTAI	2006	DBLP DOI BibTeX RDF
10	Taghi M. Khoshgoftaar, Kehan Gao	Assessment of a Multi-Strategy Classifier for an Embedded Software System.	ICTAI	2006	DBLP DOI BibTeX RDF	multi-strategy classifier, genetic algorithm, case-based learning, software quality classification, rule-based model
10	Ulrich Rückert 0002, Stefan Kramer 0001	Margin-Based First-Order Rule Learning.	ILP	2006	DBLP DOI BibTeX RDF
10	Ralitsa Angelova, Gerhard Weikum	Graph-based text classification: learn from your neighbors.	SIGIR	2006	DBLP DOI BibTeX RDF	exploiting link structure, automatic classification
10	Vladimir Nikulin	Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Marc Boullé	Regularization and Averaging of the Selective Naive Bayes classifier.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Markus Harva	A Variational EM Approach to Predicting Uncertainty in Supervised Learning.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko	Why Is Rule Learning Optimistic and How to Correct It.	ECML	2006	DBLP DOI BibTeX RDF
10	Jan Struyf, Jesse Davis, C. David Page Jr.	An Efficient Approximation to Lookahead in Relational Learners.	ECML	2006	DBLP DOI BibTeX RDF
10	Aleks Jakulin, Irina Rish	Bayesian Learning of Markov Network Structure.	ECML	2006	DBLP DOI BibTeX RDF
10	Yanheng Liu, Daxin Tian, Bin Li	A Wireless Intrusion Detection Method Based on Dynamic Growing Neural Network.	IMSCCS (2)	2006	DBLP DOI BibTeX RDF
10	Dahua Lin, Xiaoou Tang	Inter-modality Face Recognition.	ECCV (4)	2006	DBLP DOI BibTeX RDF
10	Ulrich Rückert 0002, Stefan Kramer 0001	A statistical approach to rule learning.	ICML	2006	DBLP DOI BibTeX RDF
10	Sarunas Raudys	Feature Over-Selection.	SSPR/SPR	2006	DBLP DOI BibTeX RDF
10	Hyunchul Ahn, Kichun Lee 0001, Kyoung-Jae Kim	Global Optimization of Support Vector Machines Using Genetic Algorithms for Bankruptcy Prediction.	ICONIP (3)	2006	DBLP DOI BibTeX RDF
10	Qinghua Huang, Jie Yang 0002, Yue Zhou 0005	Variational Bayesian Method for Temporally Correlated Source Separation.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
10	Di Huang 0002, Tommy W. S. Chow	An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques.	ICONIP (2)	2006	DBLP DOI BibTeX RDF
10	Hui Kong 0001, Jian-Gang Wang	Coupling Adaboost and Random Subspace for Diversified Fisher Linear Discriminant.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
10	Huimin Zhao 0003, Atish P. Sinha	An Efficient Algorithm for Generating Generalized Decision Forests.	IEEE Trans. Syst. Man Cybern. Part A	2005	DBLP DOI BibTeX RDF
10	Kyu Baek Hwang, Byoung-Tak Zhang	Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets.	IEEE Trans. Syst. Man Cybern. Part B	2005	DBLP DOI BibTeX RDF
10	Johannes Fürnkranz, Peter A. Flach	ROC 'n' Rule Learning - Towards a Better Understanding of Covering Algorithms.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	inductive rule learning, rule evaluation metrics, coverage space, ROC analysis
10	Cor J. Veenman, Marcel J. T. Reinders	The Nearest Subclass Classifier: A Compromise between the Nearest Mean and Nearest Neighbor Classifier.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF
10	Rafael Martí, Francisco Montes, Abdellah El-Fallahi	Approximating Unknown Mappings: An Experimental Evaluation.	J. Heuristics	2005	DBLP DOI BibTeX RDF	data mining, prediction, metaheuristics, statistical regression
10	Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu	Image Based Regression Using Boosting Method.	ICCV	2005	DBLP DOI BibTeX RDF
10	Marc Sumner, Eibe Frank, Mark A. Hall	Speeding Up Logistic Model Tree Induction.	PKDD	2005	DBLP DOI BibTeX RDF
10	Gustavo Romero, Maribel García Arenas, Pedro Ángel Castillo Valdivieso, Juan Julián Merelo Guervós	Evolutionary Design of a Brain-Computer Interface.	IWANN	2005	DBLP DOI BibTeX RDF
10	Miguel Rocha 0001, Paulo Cortez 0001, José Neves 0001	Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression.	IWANN	2005	DBLP DOI BibTeX RDF	Evolutionary Algorithms, Supervised Learning, Multilayer Perceptrons, Ensembles
10	Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales Bueno	Induction of Decision Trees Using an Internal Control of Induction.	IWANN	2005	DBLP DOI BibTeX RDF
10	Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins 0001, Christina S. Leslie	Motif Discovery Through Predictive Modeling of Gene Regulation.	RECOMB	2005	DBLP DOI BibTeX RDF
10	Thomas Gabel	On the Use of Vocabulary Knowledge for Learning Similarity Measures.	Wissensmanagement (LNCS Volume)	2005	DBLP DOI BibTeX RDF
10	Juha Reunanen	Less Biased Measurement of Feature Selection Benefits.	SLSFS	2005	DBLP DOI BibTeX RDF
10	Christian Savu-Krohn, Peter Auer	A Simple Feature Extraction for High Dimensional Image Representations.	SLSFS	2005	DBLP DOI BibTeX RDF
10	Marc Boullé	A Grouping Method for Categorical Attributes Having Very Large Number of Values.	MLDM	2005	DBLP DOI BibTeX RDF
10	Ding-Yi Chen, Xue Li 0001, Zhao Yang Dong, Xia Chen 0001	Effectiveness of Document Representation for Classification.	DaWaK	2005	DBLP DOI BibTeX RDF
10	Jie Li, Jing Peng, Heng Chu, Weile Zhu	Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm.	ISNN (2)	2005	DBLP DOI BibTeX RDF
10	Shengwu Xiong, Hongbing Liu, Xiaoxiao Niu	Fuzzy Support Vector Machines Based on lambda-Cut.	ICNC (1)	2005	DBLP DOI BibTeX RDF
10	Óscar Pérez, Jesús García 0001, Antonio Berlanga, José M. Molina 0001	Evolving Parameters of Surveillance Video Systems for Non-overfitted Learning.	EvoWorkshops	2005	DBLP DOI BibTeX RDF
10	Choh Man Teng 0001	Dealing with Data Corruption in Remote Sensing.	IDA	2005	DBLP DOI BibTeX RDF
10	Xiaoshu Hang, Honghua Dai 0001	Applying both positive and negative selection to supervised learning for anomaly detection.	GECCO	2005	DBLP DOI BibTeX RDF	positive selection, anomaly detection, artificial immune system, supervised learning, negative selection
10	Shu Yang, Shuicheng Yan, Dong Xu 0001, Xiaoou Tang, Chao Zhang	Fisher+Kernel Criterion for Discriminant Analysis.	CVPR (2)	2005	DBLP DOI BibTeX RDF
10	Yuan (Alan) Qi, Martin Szummer, Thomas P. Minka	Diagram Structure Recognition by Bayesian Conditional Random Fields.	CVPR (2)	2005	DBLP DOI BibTeX RDF
10	Fernando De la Torre, Ralph Gross, Simon Baker, B. V. K. Vijaya Kumar	Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class.	CVPR (2)	2005	DBLP DOI BibTeX RDF
10	Amitava Karmaker, Stephen Kwek	A Boosting Approach to remove Class Label Noise.	HIS	2005	DBLP DOI BibTeX RDF