Search results for "cost-sensitive learning"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Prithviraj Sen, Lise Getoor	Cost-sensitive learning with conditional Markov networks.	Data Min. Knowl. Discov.	2008	DBLP DOI BibTeX RDF	Structured output spaces, Machine learning, Cost-sensitive learning, Markov networks
3	Jinfu Liu, Daren Yu	A Weighted Rough Set Approach for Cost-Sensitive Learning.	RSFDGrC	2007	DBLP DOI BibTeX RDF	Weighted rough set, cost-sensitive learning, rule extraction, knowledge reduction
3	Victor S. Sheng, Charles X. Ling	Partial example acquisition in cost-sensitive learning.	KDD	2007	DBLP DOI BibTeX RDF	active cost-sensitive learning, interactive and online data mining, data mining, machine learning, active learning, induction, data acquisition, cost-sensitive learning
3	Naoki Abe, Bianca Zadrozny, John Langford	An iterative method for multi-class cost-sensitive learning.	KDD	2004	DBLP DOI BibTeX RDF	boosting, cost-sensitive learning, multi-class classification
2	Xu-Ying Liu, Zhi-Hua Zhou	Learning with cost intervals.	KDD	2010	DBLP DOI BibTeX RDF	cost intervals, misclassification costs, cost-sensitive learning
2	Yin Zhang, Zhi-Hua Zhou	Cost-Sensitive Face Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	cost-sensitive face recognition, multiclass cost-sensitive learning, Face recognition, cost-sensitive learning
2	Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro	Cost-Sensitive Learning Based on Bregman Divergences.	ECML/PKDD	2009	DBLP DOI BibTeX RDF	posterior class probabilities, maximum margin, Cost sensitive learning, Bregman divergence
2	Ning Chen, Armando Vieira, João Duarte, Bernardete Ribeiro, João Carvalho das Neves	Cost-Sensitive Learning Vector Quantization for Financial Distress Prediction.	EPIA	2009	DBLP DOI BibTeX RDF	Distress prediction, neural network, classification, cost-sensitive learning, learning vector quantization
2	Wenbin Li, Yiying Cheng, TaiFeng Liu, Xindong Zhang, Ning Zhong	Using Multi-phase Cost-Sensitive Learning to Filtering Spam.	HIS	2009	DBLP DOI BibTeX RDF	machine learning, cost sensitive learning, text processing, spam filtering
2	Junfeng Ge, Yupin Luo	Asymmetric Learning for Pedestrian Detection Based on Joint Local Orientation Histograms.	ISNN	2009	DBLP DOI BibTeX RDF	Joint local orientation histograms, Cost-sensitive learning, Pedestrian detection
2	Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano	A Comparative Study of Data Sampling and Cost Sensitive Learning.	ICDM Workshops	2008	DBLP DOI BibTeX RDF
2	Mark J. Lawson, Lenwood S. Heath, Naren Ramakrishnan, Liqing Zhang	Using Cost-Sensitive Learning to Determine Gene Conversions.	ICIC	2008	DBLP DOI BibTeX RDF
2	Haitao He, Chunhui Che, FeiTeng Ma, Xiaonan Luo, Jianmin Wang 0002	Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification.	ICIC	2008	DBLP DOI BibTeX RDF	network traffic classification, byte accuracy, ensemble learning, cost-sensitive learning
2	Nitesh V. Chawla, David A. Cieslak, Lawrence O. Hall, Ajay Joshi	Automatically countering imbalance and its empirical relationship to cost.	Data Min. Knowl. Discov.	2008	DBLP DOI BibTeX RDF	Unbalanced data, Classification, Cost-sensitive learning
2	Lior Rokach, Lihi Naamani, Armin Shmilovici	Pessimistic cost-sensitive active learning of decision trees for profit maximizing targeting campaigns.	Data Min. Knowl. Discov.	2008	DBLP DOI BibTeX RDF	Reinforcement learning, Decision trees, Active learning, Cost-sensitive learning, Design of experiments, Direct marketing
2	Huimin Zhao	Instance weighting versus threshold adjusting for cost-sensitive classification.	Knowl. Inf. Syst.	2008	DBLP DOI BibTeX RDF	Instance weighting, Threshold adjusting, Classification, Cost-sensitive learning, ROC curve
2	Jun Luo, Li Ding 0003, Zhisong Pan, Guiqiang Ni, Guyu Hu	Research on Cost-Sensitive Learning in One-Class Anomaly Detection Algorithms.	ATC	2007	DBLP DOI BibTeX RDF
2	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
2	Alberto Freitas, Altamiro da Costa Pereira, Pavel Brazdil	Cost-Sensitive Decision Trees Applied to Medical Data.	DaWaK	2007	DBLP DOI BibTeX RDF	Costs and Cost Analysis, Data Mining in Medicine, Classification, Cost-Sensitive Learning
2	Jinfu Liu, Qinghua Hu, Daren Yu	Weighted Rough Set Learning: Towards a Subjective Approach.	PAKDD	2007	DBLP DOI BibTeX RDF	weighted rough set, cost-sensitive learning, rule extraction, knowledge reduction, class imbalance learning
2	Xingquan Zhu, Xindong Wu	Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	noise handling, Data mining, classification, cost-sensitive learning
2	Xu-Ying Liu, Zhi-Hua Zhou	The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study.	ICDM	2006	DBLP DOI BibTeX RDF
2	Jun Xu, Yunbo Cao, Hang Li, Yalou Huang	Cost-Sensitive Learning of SVM for Ranking.	ECML	2006	DBLP DOI BibTeX RDF
2	Prithviraj Sen, Lise Getoor	Cost-sensitive learning with conditional Markov networks.	ICML	2006	DBLP DOI BibTeX RDF
2	Chris Drummond	Discriminative vs. Generative Classifiers for Cost Sensitive Learning.	Canadian Conference on AI	2006	DBLP DOI BibTeX RDF
2	Stefan Lessmann, Sven F. Crone, Robert Stahlbock	An Evaluation of Discrete Support Vector Machines for Cost-Sensitive Learning.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji	Maximum profit mining and its application in software development.	KDD	2006	DBLP DOI BibTeX RDF	escalation prediction, data mining, cost-sensitive learning
2	Qiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan	Test-Cost Sensitive Classification on Data with Missing Values.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	decision trees, naive Bayes, Cost-sensitive learning
2	Zhi-Hua Zhou, Xu-Ying Liu	Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	threshold-moving, data mining, neural networks, Machine learning, sampling, ensemble learning, cost-sensitive learning, class imbalance learning
2	Xiaolong Zhang, Chuan Jiang, Mingjian Luo	Training Classifiers for Unbalanced Distribution and Cost-Sensitive Domains with ROC Analysis.	PKAW	2006	DBLP DOI BibTeX RDF	Classification, Cost-Sensitive Learning, ROC, Error Correcting Output Coding
2	Gary M. Weiss, Maytal Saar-Tsechansky, Bianca Zadrozny	Report on UBDM-05: Workshop on Utility-Based Data Mining.	SIGKDD Explorations	2005	DBLP DOI BibTeX RDF	active learning, cost-sensitive learning, utility-based data mining
2	Kai Ming Ting	A Study on the Effect of Class Distribution Using Cost-Sensitive Learning.	Discovery Science	2002	DBLP DOI BibTeX RDF
2	Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	SMILES: A Multi-purpose Learning System.	JELIA	2002	DBLP DOI BibTeX RDF	data mining, machine learning, comprehensibility, cost-sensitive learning, ensemble methods, Decision tree learning
1	Victoria López, Alberto Fernández, Jose G. Moreno-Torres, Francisco Herrera	Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Ali Borji, Majid Nili Ahmadabadi, Babak Nadjar Araabi	Cost-sensitive learning of top-down modulation for attentional control.	Mach. Vis. Appl.	2011	DBLP DOI BibTeX RDF
1	Ana M. Palacios, Luciano Sánchez, Inés Couso	Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data.	Int. J. Approx. Reasoning	2011	DBLP DOI BibTeX RDF
1	Zhi-Hua Zhou	Cost-Sensitive Learning.	MDAI	2011	DBLP DOI BibTeX RDF
1	Zhenbing Liu	Maximal-Margin Approach for Cost-Sensitive Learning Based on Scaled Convex Hull.	ISNN	2011	DBLP DOI BibTeX RDF
1	Xu-Ying Liu, Zhi-Hua Zhou	Towards Cost-Sensitive Learning for Real-World Applications.	PAKDD Workshops	2011	DBLP DOI BibTeX RDF
1	Victor S. Sheng	Fast Data Acquisition in Cost-Sensitive Learning.	ICDM	2011	DBLP DOI BibTeX RDF
1	Ali Anaissi, Paul J. Kennedy, Madhu Goyal	Feature Selection of Imbalanced Gene Expression Microarray Data.	SNPD	2011	DBLP DOI BibTeX RDF	feature selection, cost sensitive learning, random forest, imbalanced data
1	Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra	Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Zou Peng, Yuanyuan Hao, Yijun Li	Customer value segmentation based on cost-sensitive learning Support Vector Machine.	IJSTM	2010	DBLP DOI BibTeX RDF
1	Zhi-Hua Zhou, Xu-Ying Liu	On Multi-Class Cost-Sensitive Learning.	Computational Intelligence	2010	DBLP DOI BibTeX RDF
1	Minyoung Kim	Large margin cost-sensitive learning of conditional random fields.	Pattern Recognition	2010	DBLP DOI BibTeX RDF
1	Charles X. Ling, Victor S. Sheng	Cost-Sensitive Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Alexander Liu, Cheryl E. Martin, Brian La Cour, Joydeep Ghosh	Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers.	Data Mining	2010	DBLP DOI BibTeX RDF
1	Ning Chen, Bernardete Ribeiro, Armando Vieira, João Duarte, João Carvalho das Neves	Weighted Learning Vector Quantization to Cost-Sensitive Learning.	ICANN	2010	DBLP DOI BibTeX RDF
1	Tsang-Hsiang Cheng, Ci-Wei Lan, Chih-Ping Wei, Henry Chang	Cost-Sensitive Learning for Recurrence Prediction of Breast Cancer.	PACIS	2010	DBLP BibTeX RDF
1	Nguyen Thai-Nghe, Zeno Gantner, Lars Schmidt-Thieme	Cost-sensitive learning methods for imbalanced data.	IJCNN	2010	DBLP DOI BibTeX RDF
1	Jun Du, Eileen A. Ni, Charles X. Ling	Adapting cost-sensitive learning for reject option.	CIKM	2010	DBLP DOI BibTeX RDF
1	Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu	Designing efficient cascaded classifiers: tradeoff between accuracy and cost.	KDD	2010	DBLP DOI BibTeX RDF	accuracy vs cost, cascade design, cost sensitive learning
1	Sarunas Raudys, Aistis Raudys	Pairwise Costs in Multiclass Perceptrons.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	pairwise classification, Cost-sensitive learning, perceptron, loss function
1	Fan Yang, Hua-zhen Wang, Hong Mi, Cheng-de Lin, Wei-wen Cai	Using random forest for reliable classification and cost-sensitive learning for medical diagnosis.	BMC Bioinformatics	2009	DBLP DOI BibTeX RDF
1	Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro	Cost-sensitive learning based on Bregman divergences.	Machine Learning	2009	DBLP DOI BibTeX RDF
1	Fen Xia, Yanwu Yang, Liang Zhou, Fuxin Li, Min Cai, Daniel Dajun Zeng	A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learning.	Pattern Recognition	2009	DBLP DOI BibTeX RDF
1	Victor S. Sheng, Charles X. Ling	Cost-Sensitive Learning.	Encyclopedia of Data Warehousing and Mining	2009	DBLP BibTeX RDF
1	Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang	Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization.	ICDAR	2009	DBLP DOI BibTeX RDF
1	Weizhao Guo, Yong Hu, Mei Liu, Jian Yin, Kang Xie, Xiaobo Yang	Exploring Cost-Sensitive Learning in Domain Based Protein-Protein Interaction Prediction.	ISNN	2009	DBLP DOI BibTeX RDF
1	Yen-Hsien Lee, Paul Jen-Hwa Hu, Tsang-Hsiang Cheng, Ya-Fang Hsieh	Positive Example Learning for Content-Based Recommendations: A Cost-Sensitive Learning-Based Approach.	ICIS	2009	DBLP BibTeX RDF
1	Mark Last	Improving data mining utility with projective sampling.	KDD	2009	DBLP DOI BibTeX RDF	optimization, classification, active learning, data acquisition, cost-sensitive learning, utility-based data mining
1	Xiao Chang, Qinghua Zheng, Peng Lin	Cost-Sensitive Supported Vector Learning to Rank Imbalanced Data Set.	ICIC	2009	DBLP DOI BibTeX RDF	Supported vector learning, Learning to rank, Cost-sensitive learning, Imbalanced data set
1	Parag C. Pendharkar	A threshold varying bisection method for cost sensitive learning in neural networks.	Expert Syst. Appl.	2008	DBLP DOI BibTeX RDF
1	Michael Wiegand, Jochen L. Leidner, Dietrich Klakow	Cost-Sensitive Learning in Answer Extraction.	LREC	2008	DBLP BibTeX RDF
1	Zou Peng, Yuanyuan Hao	The method for solving two types of errors in customer segmentation on unbalanced data.	ICEC	2008	DBLP DOI BibTeX RDF	support vector machines, cost-sensitive learning, customer value, customer segmentation
1	Aurelie C. Lozano, Naoki Abe	Multi-class cost-sensitive boosting with p-norm loss functions.	KDD	2008	DBLP DOI BibTeX RDF	boosting, cost-sensitive learning, multi-class classification
1	Tom Fawcett	PRIE: a system for generating rulelists to maximize ROC performance.	Data Min. Knowl. Discov.	2008	DBLP DOI BibTeX RDF	Classification, Cost-sensitive learning, Rule learning, ROC analysis
1	Gary M. Weiss, Ye Tian	Maximizing classifier utility when there are data acquisition and modeling costs.	Data Min. Knowl. Discov.	2008	DBLP DOI BibTeX RDF	Data mining, Machine learning, Decision trees, Active learning, Induction, Cost-sensitive learning, Utility-based data mining
1	Thach Huy Nguyen, Pornthep Rojanavasu, Ouen Pinngern	Cost-Xensitive XCS Classifier System Addressing Imbalance Problems.	FSKD	2008	DBLP DOI BibTeX RDF
1	Chan-Yun Yang, Jianjun Wang, Jr-Syu Yang, Guo-Ding Yu	Imbalanced SVM Learning with Margin Compensation.	ISNN	2008	DBLP DOI BibTeX RDF	Imbalanced learning, Classification, Pattern recognition, Support vector machine, Margin
1	Wojciech Penar, Michal Wozniak	Experiments on Classifiers Obtained Via Decision Tree Induction Methods with Different Attribute Acquisition Cost Limit.	Computer Recognition Systems 2	2008	DBLP DOI BibTeX RDF
1	Gary M. Weiss, Kate McCarthy, Bibi Zabar	Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?	DMIN	2007	DBLP BibTeX RDF
1	Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi	An Empirical Study of the Noise Impact on Cost-Sensitive Learning.	IJCAI	2007	DBLP BibTeX RDF
1	Hamed Masnadi-Shirazi, Nuno Vasconcelos	High Detection-rate Cascades for Real-Time Object Detection.	ICCV	2007	DBLP DOI BibTeX RDF
1	Zhi-Fei Ye, Bao-Liang Lu	Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang	Cost-Time Sensitive Decision Tree with Missing Values.	KSEM	2007	DBLP DOI BibTeX RDF
1	Luís Torgo, Rita P. Ribeiro	Utility-Based Regression.	PKDD	2007	DBLP DOI BibTeX RDF
1	Zhi-Hua Zhou, Xu-Ying Liu	On Multi-Class Cost-Sensitive Learning.	AAAI	2006	DBLP BibTeX RDF
1	Gary M. Weiss, Ye Tian	Maximizing classifier utility when training data is costly.	SIGKDD Explorations	2006	DBLP DOI BibTeX RDF	data mining, machine learning, decision trees, active learning, induction, cost-sensitive learning, utility-based data mining
1	Bianca Zadrozny, Gary M. Weiss, Maytal Saar-Tsechansky	UBDM 2006: Utility-Based Data Mining 2006 workshop report.	SIGKDD Explorations	2006	DBLP DOI BibTeX RDF	active information acquisition, active learning, cost-sensitive learning, utility-based data mining
1	Victor S. Sheng, Charles X. Ling	Feature value acquisition in testing: a sequential batch test algorithm.	ICML	2006	DBLP DOI BibTeX RDF
1	Lian Yan, Patrick Baldasare	Beyond classification and ranking: constrained optimization of the ROI.	KDD	2006	DBLP DOI BibTeX RDF	neural networks, constrained optimization, return on investment
1	Kun Zhang, Wei Fan, Bill P. Buckles, Xiaojing Yuan, Zujia Xu	Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation.	ICDM	2006	DBLP DOI BibTeX RDF
1	Han Liang, Yuhong Yan	Learning Naïve Bayes Tree for Conditional Probability Estimation.	Canadian Conference on AI	2006	DBLP DOI BibTeX RDF
1	Young-Woo Seo, Katia P. Sycara	Cost-Sensitive Access Control for Illegitimate Confidential Access by Insiders.	ISI	2006	DBLP DOI BibTeX RDF
1	Marek Kretowski, Marek Grzes	Evolutionary Induction of Cost-Sensitive Decision Trees.	ISMIS	2006	DBLP DOI BibTeX RDF
1	Stijn Viaene, Guido Dedene	Cost-sensitive learning and decision making revisited.	European Journal of Operational Research	2005	DBLP DOI BibTeX RDF
1	Dragos D. Margineantu	Active Cost-Sensitive Learning.	IJCAI	2005	DBLP BibTeX RDF
1	Abraham Bernstein, Foster J. Provost, Shawndra Hill	Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	metalearning, data mining, machine learning, knowledge discovery, Cost-sensitive learning, intelligent assistants, knowledge discovery process, data mining process
1	Alina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford, Bianca Zadrozny	Error limiting reductions between classification tasks.	ICML	2005	DBLP DOI BibTeX RDF
1	Jin Li, Xiaoli Li, Xin Yao	Cost-sensitive classification with genetic programming.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
1	Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji	Predicting Software Escalations with Maximum ROI.	ICDM	2005	DBLP DOI BibTeX RDF
1	Shichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng	"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	machine learning, knowledge acquisition, Induction
1	Shengli Sheng, Charles X. Ling, Qiang Yang	Simple Test Strategies for Cost-Sensitive Decision Trees.	ECML	2005	DBLP DOI BibTeX RDF
1	Surendra K. Singhi, Huan Liu	Error-Sensitive Grading for Model Combination.	ECML	2005	DBLP DOI BibTeX RDF
1	Shengli Sheng, Charles X. Ling	Hybrid Cost-Sensitive Decision Tree.	PKDD	2005	DBLP DOI BibTeX RDF
1	Stijn Viaene, Richard A. Derrig, Guido Dedene	Cost-sensitive learning and decision making for massachusetts pip claim fraud data.	Int. J. Intell. Syst.	2004	DBLP DOI BibTeX RDF
1	Xingquan Zhu, Xindong Wu	Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning.	ICDM	2004	DBLP DOI BibTeX RDF
1	Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko	Cross channel optimized marketing by reinforcement learning.	KDD	2004	DBLP DOI BibTeX RDF	customer life time value, reinforcement learning, CRM, cost sensitive learning, targeted marketing
1	Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. Sanghai, Deepak Verma	Adversarial classification.	KDD	2004	DBLP DOI BibTeX RDF	game theory, integer linear programming, naive Bayes, cost-sensitive learning, spam detection