Search results for "labeled and unlabeled data"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Chi Su, Yang Gao 0001, Chun Cao	Learning classifier system using both labeled and unlabeled data.	GECCO	2010	DBLP DOI BibTeX RDF	semi-supervised learning, learning classifier system
2	Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell	Comparison of Documents Classification Techniques to Classify Medical Reports.	PAKDD	2006	DBLP DOI BibTeX RDF	partially supervised classification, labeled and unlabeled data, medical data mining and features reduction, Text classification
2	Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf	Learning from labeled and unlabeled data on a directed graph.	ICML	2005	DBLP DOI BibTeX RDF
2	Dengyong Zhou, Bernhard Schölkopf	Learning from Labeled and Unlabeled Data Using Random Walks.	DAGM-Symposium	2004	DBLP DOI BibTeX RDF
2	Hiroya Takamura, Manabu Okumura	A Comparative Study on the Use of Labeled and Unlabeled Data for Large Margin Classifiers.	IJCNLP	2004	DBLP DOI BibTeX RDF
2	Zhu Zhang, Dragomir R. Radev	Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships.	IJCNLP	2004	DBLP DOI BibTeX RDF
2	Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu 0001	Semi-supervised Text Classification Using Partitioned EM.	DASFAA	2004	DBLP DOI BibTeX RDF	labeled and unlabeled data, Text mining, text classification, semi-supervised learning
2	Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marcelo Cesar Cirelo, Thomas S. Huang	Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data.	CVPR	2003	DBLP DOI BibTeX RDF
2	Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari	Learning Classification with Both Labeled and Unlabeled Data.	ECML	2002	DBLP DOI BibTeX RDF
1	Liangxiao Jiang	Learning Instance Weighted Naive Bayes from labeled and unlabeled data.	J. Intell. Inf. Syst.	2012	DBLP DOI BibTeX RDF
1	Tahereh Emami Azadi, Farshad Almasganj	PBSVM: Partitioning and biased support vector machine for vocal fold pathology assessment using labeled and unlabeled data sets.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Nitesh V. Chawla, Grigoris J. Karakoulas	Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains	CoRR	2011	DBLP BibTeX RDF
1	Jongwon Yoon, Sung-Bae Cho	Global/Local Hybrid Learning of Mixture-of-Experts from Labeled and Unlabeled Data.	HAIS	2011	DBLP DOI BibTeX RDF
1	Changshui Zhang, Fei Wang 0001	A multilevel approach for learning from labeled and unlabeled data on graphs.	Pattern Recognition	2010	DBLP DOI BibTeX RDF
1		Learning from Labeled and Unlabeled Data.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1		Learning from Labeled and Unlabeled Data.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Tijl De Bie, Thiago Turchetti Maia, Antônio de Pádua Braga	Machine Learning with Labeled and Unlabeled Data.	ESANN	2009	DBLP BibTeX RDF
1	Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston	Combining labeled and unlabeled data with word-class distribution learning.	CIKM	2009	DBLP DOI BibTeX RDF	semi-supervised feature learning, information extraction, semi-supervised learning, name entity recognition
1	Mingjie Qian, Feiping Nie, Changshui Zhang	Efficient multi-class unlabeled constrained semi-supervised SVM.	CIKM	2009	DBLP DOI BibTeX RDF	dual coordinate descent method, multi-class categorization, multi-class laplacian svm, multi-class svm, multi-class ucsvm, semi-supervised learning
1	Lei Bao, Juan Cao, Tian Xia, Yong-Dong Zhang, Jintao Li	Locally non-negative linear structure learning for interactive image retrieval.	ACM Multimedia	2009	DBLP DOI BibTeX RDF	interactive image retrieval, locally non-negative linear structure, active learning
1	Jinhui Tang, Shuicheng Yan, Richang Hong, Guo-Jun Qi, Tat-Seng Chua	Inferring semantic concepts from community-contributed images and noisy tags.	ACM Multimedia	2009	DBLP DOI BibTeX RDF	noisy tags, semi-supervised learning, concept space, sparse graph, web image
1	Ching-Hao Mao, Hahn-Ming Lee, Devi Parikh, Tsuhan Chen, Si-Yu Huang	Semi-supervised co-training and active learning based approach for multi-view intrusion detection.	SAC	2009	DBLP DOI BibTeX RDF	intrusion detection, active learning, semi-supervised learning, co-training, multi-view
1	Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu	Semisupervised SVM batch mode active learning with applications to image retrieval.	ACM Trans. Inf. Syst.	2009	DBLP DOI BibTeX RDF	batch mode active learning, human-computer interaction, support vector machines, Content-based image retrieval, active learning, semisupervised learning
1	Volkmar Frinken, Horst Bunke	Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition.	ICDAR	2009	DBLP DOI BibTeX RDF
1	Shihao Ji, L. T. Watson, Lawrence Carin	Semisupervised Learning of Hidden Markov Models via a Homotopy Method.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
1	Xiaoming Liu 0004, Jinshan Tang, Jun Liu, Zhilin Feng, Zhaohui Wang	Semi-supervised Discriminant Analysis Based on Dependence Estimation.	ADMA	2009	DBLP DOI BibTeX RDF	Dependence maximization, Semi-supervised learning, Dimension reduction
1	Zhuhong You, Shanwen Zhang, Liping Li	Integration of Genomic and Proteomic Data to Predict Synthetic Genetic Interactions Using Semi-supervised Learning.	ICIC	2009	DBLP DOI BibTeX RDF	Genetic Interaction, Functional Gene network, Network Property, Semi-supervised learning
1	Changshui Zhang, Feiping Nie, Shiming Xiang, Chenping Hou	Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations.	Neural Processing Letters	2009	DBLP DOI BibTeX RDF	Soft label soft constraint, Classification, Random walks, Transductive learning, Label propagation
1	Xing-Ming Zhao, Yong Wang, Luonan Chen, Kazuyuki Aihara	Gene function prediction using labeled and unlabeled data.	BMC Bioinformatics	2008	DBLP DOI BibTeX RDF
1	Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu	Spectral domain-transfer learning.	KDD	2008	DBLP DOI BibTeX RDF	spectral learning, transfer learning
1	Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu	Topic-bridged PLSA for cross-domain text classification.	SIGIR	2008	DBLP DOI BibTeX RDF	topic-bridged PLSA, text classification, cross-domain
1	Christian Leistner, Helmut Grabner, Horst Bischof	Semi-supervised boosting using visual similarity learning.	CVPR	2008	DBLP DOI BibTeX RDF
1	Duc-Son Pham, Svetha Venkatesh	Joint learning and dictionary construction for pattern recognition.	CVPR	2008	DBLP DOI BibTeX RDF
1	Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert, Renaud Keriven	Manifold learning using robust Graph Laplacian for interactive image search.	CVPR	2008	DBLP DOI BibTeX RDF
1	Yu Zhang, Dit-Yan Yeung	Semi-Supervised Discriminant Analysis using robust path-based similarity.	CVPR	2008	DBLP DOI BibTeX RDF
1	Liangyuan Li, Mei Chen, Hanhu Wang, Hui Li	CoSFuC: A Cost Sensitive Fuzzy Clustering Approach for Medical Prediction.	FSKD	2008	DBLP DOI BibTeX RDF
1	Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert, Renaud Keriven	Graph laplacian for interactive image retrieval.	ICASSP	2008	DBLP DOI BibTeX RDF
1	Mathias M. Adankon, Mohamed Cheriet	Help-training for semi-supervised discriminative classifiers. Application to SVM.	ICPR	2008	DBLP DOI BibTeX RDF
1	Yun-Chao Gong, Chuanliang Chen	Semi-supervised method for gene expression data classification with Gaussian fields and harmonic functions.	ICPR	2008	DBLP DOI BibTeX RDF
1	Rui Xiao, Pengfei Shi	Semi-supervised marginal discriminant analysis based on QR decomposition.	ICPR	2008	DBLP DOI BibTeX RDF
1	Mark Culp, George Michailidis	Graph-Based Semisupervised Learning.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	Machine learning, Statistical methods, Nonparametric statistics
1	Akinori Fujino, Naonori Ueda, Kazumi Saito	Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle.	IEEE Trans. Pattern Anal. Mach. Intell.	2008	DBLP DOI BibTeX RDF	bias correction, text classification, generative model, maximum entropy principle, unlabeled samples
1	Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu	Face Annotation Using Transductive Kernel Fisher Discriminant.	IEEE Transactions on Multimedia	2008	DBLP DOI BibTeX RDF
1	Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Yong Yu	Knowledge Transferring Via Implicit Link Analysis.	DASFAA	2008	DBLP DOI BibTeX RDF
1	Wei Jiang, Shih-Fu Chang, Tony Jebara, Alexander C. Loui	Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector Machines.	ECCV	2008	DBLP DOI BibTeX RDF
1	Wuyi Yang, Shuwu Zhang, Wei Liang	A Graph Based Subspace Semi-supervised Learning Framework for Dimensionality Reduction.	ECCV	2008	DBLP DOI BibTeX RDF
1	Zheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan	Learning model order from labeled and unlabeled data for partially supervised classification, with application to word sense disambiguation.	Computer Speech & Language	2007	DBLP DOI BibTeX RDF
1	Jeffrey Junfeng Pan, Qiang Yang	Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian.	IJCAI	2007	DBLP BibTeX RDF
1	Arik Azran	The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks.	ICML	2007	DBLP DOI BibTeX RDF
1	Guang Dai, Dit-Yan Yeung	Kernel selection forl semi-supervised kernel machines.	ICML	2007	DBLP DOI BibTeX RDF
1	Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu	Semi-supervised classification with hybrid generative/discriminative methods.	KDD	2007	DBLP DOI BibTeX RDF	hybrid generative/discriminative methods, text classification, semi-supervised learning
1	Huanling Tang, Mingyu Lu, Na Liu	Co_NBM: A Semi-Supervised Categorization Algorithm Based TEF_WA Technique.	GrC	2007	DBLP DOI BibTeX RDF
1	Yun Fu, Zhu Li, Xi Zhou, Thomas S. Huang	Laplacian Affinity Propagation for Semi-Supervised Object Classification.	ICIP	2007	DBLP DOI BibTeX RDF
1	Shihai Wang, Ke Chen 0001	Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Daewon Lee, Jaewook Lee	Equilibrium-Based Support Vector Machine for Semisupervised Classification.	IEEE Transactions on Neural Networks	2007	DBLP DOI BibTeX RDF
1	Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya	A Co-training Approach for Time Series Prediction with Missing Data.	MCS	2007	DBLP DOI BibTeX RDF	fuzzy inductive reasoning, ensemble prediction, semi-supervised learning, k-nearest neighbor, missing data, Time series prediction, co-training
1	Jinhui Tang, Xian-Sheng Hua, Yan Song, Guo-Jun Qi, Xiuqing Wu	Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation.	PAKDD	2007	DBLP DOI BibTeX RDF	Kernel Method, Video Annotation, Label Propagation
1	Hui Wang, Liping Ji, Wanli Zuo	Best-Match Method Used in Co-training Algorithm.	PAKDD Workshops	2007	DBLP DOI BibTeX RDF	labeled data, text classification, expectation-maximization, Naive Bayes, co-training, unlabeled data, Best-match
1	Abdelhamid Bouchachia	Learning with partly labeled data.	Neural Computing and Applications	2007	DBLP DOI BibTeX RDF	Pre-labeling, Clustering, Classification, Semi-supervised learning, Ensemble classifier
1	Haitao Zhao	Combining labeled and unlabeled data with graph embedding.	Neurocomputing	2006	DBLP DOI BibTeX RDF
1	Hua Wu, Haifeng Wang, Zhan-yi Liu	Boosting Statistical Word Alignment Using Labeled and Unlabeled Data.	ACL	2006	DBLP BibTeX RDF
1	Ping Gu, Qingsheng Zhu, Xiping He	Concept Based Text Classification Using Labeled and Unlabeled Data.	ADMA	2006	DBLP DOI BibTeX RDF
1	Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang	Learning the unified kernel machines for classification.	KDD	2006	DBLP DOI BibTeX RDF	kernel logistic regressions, spectral kernel learning, unsupervised kernel design, classification, active learning, semi-supervised learning, supervised learning, kernel machines
1	Meng Wang, Yan Song, Xun Yuan, HongJiang Zhang, Xian-Sheng Hua, Shipeng Li	Automatic video annotation by semi-supervised learning with kernel density estimation.	ACM Multimedia	2006	DBLP DOI BibTeX RDF	SSLKDE, semi-supervised learning, video annotation, kernel density estimation
1	Fei Wang 0001, Changshui Zhang, Helen C. Shen, Jingdong Wang	Semi-Supervised Classification Using Linear Neighborhood Propagation.	CVPR	2006	DBLP DOI BibTeX RDF
1	Jin Tang, Chunyan Zhang, Bin Luo	Semi-Supervised Clustering of Corner-Oriented Attributed Graphs.	HIS	2006	DBLP DOI BibTeX RDF
1	Yan Song, Guo-Jun Qi, Xian-Sheng Hua, Li-Rong Dai, Ren-Hua Wang	Video Annotation by Active Learning and Semi-Supervised Ensembling.	ICME	2006	DBLP DOI BibTeX RDF
1	Yiqing Kong, Shitong Wang	Applying the Semisupervised Bayesian Approach to Classifier Design.	ISDA	2006	DBLP DOI BibTeX RDF
1	Abhijeet V. Nandedkar, Prabir K. Biswas	Object Recognition Using Reflex Fuzzy Min-Max Neural Network with Floating Neurons.	ICVGIP	2006	DBLP DOI BibTeX RDF
1	Ke Lu, Xiaofei He, Jidong Zhao	Semi-supervised Support Vector Learning for Face Recognition.	ISNN	2006	DBLP DOI BibTeX RDF
1	Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi	Using Weighted Nearest Neighbor to Benefit from Unlabeled Data.	PAKDD	2006	DBLP DOI BibTeX RDF
1	Xintao Wu	Incorporating large unlabeled data to enhance EM classification.	J. Intell. Inf. Syst.	2006	DBLP DOI BibTeX RDF	Classification, Bootstrap, Expectation maximization
1	Nitesh V. Chawla, Grigoris J. Karakoulas	Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains.	J. Artif. Intell. Res. (JAIR)	2005	DBLP DOI BibTeX RDF
1	Maria-Florina Balcan, Avrim Blum	A PAC-Style Model for Learning from Labeled and Unlabeled Data.	COLT	2005	DBLP DOI BibTeX RDF
1	Xiaojin Zhu, John D. Lafferty	Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning.	ICML	2005	DBLP DOI BibTeX RDF
1	Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang	Multiple random walk and its application in content-based image retrieval.	Multimedia Information Retrieval	2005	DBLP DOI BibTeX RDF	Markov random walk, class prior, image retrieval, relevance feedback, generative model, likelihood function
1	Steven C. H. Hoi, Michael R. Lyu	A Semi-Supervised Active Learning Framework for Image Retrieval.	CVPR	2005	DBLP DOI BibTeX RDF
1	Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao	Semi-Supervised Mixture of Kernels via LPBoost Methods.	ICDM	2005	DBLP DOI BibTeX RDF
1	Dong Zhang, Daniel Gatica-Perez, Samy Bengio	Semi-supervised meeting event recognition with adapted HMMs.	ICME	2005	DBLP DOI BibTeX RDF	audio-visual event, semisupervised framework, meeting event recognition, HMM adaptation technique
1	Tak-Lam Wong, Wai Lam	Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples.	ICMLC	2005	DBLP DOI BibTeX RDF
1	Ke Lu, Jidong Zhao, Mengqin Xia, Jiazhi Zeng	Semi-supervised Learning for Image Retrieval Using Support Vector Machines.	ISNN	2005	DBLP DOI BibTeX RDF
1	Abhijeet V. Nandedkar, Prabir K. Biswas	A General Fuzzy Min Max Neural Network with Compensatory Neuron Architecture.	KES	2005	DBLP DOI BibTeX RDF
1	Tao Li, Mitsunori Ogihara	Semisupervised learning from different information sources.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Minimise disagreement, Semisupervised, Support vector machines, Decision tree, Unlabelled data
1	Nicu Sebe, Ira Cohen, Fabio Gagliardi Cozman, Theo Gevers, Thomas S. Huang	Learning probabilistic classifiers for human-computer interaction applications.	Multimedia Syst.	2005	DBLP DOI BibTeX RDF	Bayesian networks, Face detection, Facial expression recognition, Skin detection, Semisupervised learning
1	Yan Zhou, Sally A. Goldman	Democratic Co-Learning.	ICTAI	2004	DBLP DOI BibTeX RDF
1	Ira Cohen, Fabio Gagliardi Cozman, Nicu Sebe, Marcelo Cesar Cirelo, Thomas S. Huang	Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF
1	Neil D. Lawrence, John C. Platt, Michael I. Jordan	Extensions of the Informative Vector Machine.	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
1	Daoqiang Zhang, Keren Tan, Songcan Chen	Semi-supervised Kernel-Based Fuzzy C-Means.	ICONIP	2004	DBLP DOI BibTeX RDF
1	Mikhail Belkin, Partha Niyogi	Semi-Supervised Learning on Riemannian Manifolds.	Machine Learning	2004	DBLP DOI BibTeX RDF	laplace operator, semi-supervised learning, manifold learning, graph regularization, graph laplacian
1	Ravi Kothari, Vivek Jain	Learning from labeled and unlabeled data using a minimal number of queries.	IEEE Transactions on Neural Networks	2003	DBLP DOI BibTeX RDF
1	Sebastian Thrun, Geoffrey J. Gordon, Frank Pfenning, Mary Berna, Brennan Sellner, Brad Lisien	A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data.	IJCAI	2003	DBLP BibTeX RDF
1	David J. Miller, John Browning	A Mixture Model and EM-Based Algorithm for Class Discovery, Robust Classification, and Outlier Rejection in Mixed Labeled/Unlabeled Data Sets.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	labeled and unlabeled data, sample rejection, text categorization, EM algorithm, mixture models, outlier detection, Class discovery
1	Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Thomas S. Huang	Semi-supervised learning for facial expression recognition.	Multimedia Information Retrieval	2003	DBLP DOI BibTeX RDF	Bayesian networks, semi-supervised learning, facial expression recognition
1	Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu, Wei-Ying Ma	CBC: Clustering Based Text Classification Requiring Minimal Labeled Data.	ICDM	2003	DBLP DOI BibTeX RDF
1	Masashi Inoue, Naonori Ueda	Exploitation of Unlabeled Sequences in Hidden Markov Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	extended Baum-Welch algorithm, hidden Markov models, Unlabeled data, sequential data
1	Peter D. Turney	Mining the Web for Lexical Knowledge to Improve Keyphrase Extraction: Learning from Labeled and Unlabeled Data	CoRR	2002	DBLP BibTeX RDF
1	Dunja Mladenic	Modeling Information in Textual Data Combining Labeled and Unlabeled Data.	Pattern Detection and Discovery	2002	DBLP DOI BibTeX RDF
1	Rayid Ghani	Combining Labeled and Unlabeled Data for MultiClass Text Categorization.	ICML	2002	DBLP BibTeX RDF
1	Kristin P. Bennett, Ayhan Demiriz, Richard Maclin	Exploiting unlabeled data in ensemble methods.	KDD	2002	DBLP DOI BibTeX RDF	classification, semi-supervised learning, boosting, ensemble learning
1	Xintao Wu, Jianping Fan, Kalpathi R. Subramanian	B-EM: a classifier incorporating bootstrap with EM approach for data mining.	KDD	2002	DBLP DOI BibTeX RDF	supervised and unsupervised learning, classification, expectation maximization, bootstrap method