Search results for "semisupervised learning"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Li Wei, Eamonn J. Keogh, Helga Van Herle, Agenor Mafra-Neto, Russell J. Abbott	Efficient query filtering for streaming time series with applications to semisupervised learning of time series classifiers.	Knowl. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Data mining, Monitoring, Streams, Time series, Semisupervised learning
3	Yijuan Lu, Qi Tian, Feng Liu, Maribel Sanchez, Yufeng Wang	Interactive Semisupervised Learning for Microarray Analysis.	IEEE/ACM Trans. Comput. Biology Bioinform.	2007	DBLP DOI BibTeX RDF	Kernel DEM, Relevance Feedback, semisupervised learning, microarray analysis
3	Luo Si, Jamie Callan	A semisupervised learning method to merge search engine results.	ACM Trans. Inf. Syst.	2003	DBLP DOI BibTeX RDF	resource ranking, semisupervised learning method, Distributed information retrieval, resource selection, server selection, results merging
2	Fei Wang 0001, Changshui Zhang	Semisupervised Learning Based on Generalized Point Charge Models.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
2	Gökhan Tür	Extending boosting for large scale spoken language understanding.	Machine Learning	2007	DBLP DOI BibTeX RDF	Call classification, Boosting, Model adaptation, Semisupervised learning, Spoken dialog systems, Cost-sensitive classification
2	Zhi-Hua Zhou, Ke-Jia Chen, Hong-Bin Dai	Enhancing relevance feedback in image retrieval using unlabeled data.	ACM Trans. Inf. Syst.	2006	DBLP DOI BibTeX RDF	content-based image retrieval machine learning, learning with unlabeled data, Relevance feedback, active learning, semisupervised learning
2	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
2	Kwong H. Yung	Using Self-Consistent Naive-Bayes to Detect Masquerades.	PAKDD	2004	DBLP DOI BibTeX RDF	self-consistent naive-Bayes, intrusion detection, anomaly detection, expectation-maximization algorithm, semisupervised learning, masquerade detection
1	Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim	Learning a Propagable Graph for Semisupervised Learning: Classification and Regression.	IEEE Trans. Knowl. Data Eng.	2012	DBLP DOI BibTeX RDF
1	Thiago Christiano Silva, Liang Zhao	Network-Based Stochastic Semisupervised Learning.	IEEE Trans. Neural Netw. Learning Syst.	2012	DBLP DOI BibTeX RDF
1	Chenping Hou, Feiping Nie, Fei Wang 0001, Changshui Zhang, Yi Wu	Semisupervised Learning Using Negative Labels.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Mathias M. Adankon, Mohamed Cheriet, Alain Biem	Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Nichalin Suakkaphong, Zhu Zhang, Hsinchun Chen	Disease named entity recognition using semisupervised learning and conditional random fields.	JASIST	2011	DBLP DOI BibTeX RDF
1	Huazhi Yang, Peifeng Li, Qiaoming Zhu, Lan Xu	The Application Layer Protocol Identification Method Based on Semisupervised Learning.	SNPD	2011	DBLP DOI BibTeX RDF	Application Layer Protocol Identification, Affinity Propagation Clustering, Semi-supervised Learning
1	Tomoharu Iwata, Toshiyuki Tanaka, Takeshi Yamada, Naonori Ueda	Improving Classifier Performance Using Data with Different Taxonomies.	IEEE Trans. Knowl. Data Eng.	2011	DBLP DOI BibTeX RDF	text classification, Transfer learning, semisupervised learning
1	Cheng Chen, Yueting Zhuang, Feiping Nie, Yi Yang, Fei Wu, Jun Xiao	Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor.	IEEE Trans. Vis. Comput. Graph.	2011	DBLP DOI BibTeX RDF	pose features, character animation, Human motion, distance metric, semisupervised learning
1	Jinjun Wang, Shenghuo Zhu, Yihong Gong	Driving Safety Monitoring Using Semisupervised Learning on Time Series Data.	IEEE Transactions on Intelligent Transportation Systems	2010	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	Junhui Wang, Xiaotong Shen, Wei Pan	On Efficient Large Margin Semisupervised Learning: Method and Theory.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
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	Philippe Thomas	Semi-Supervised Learning by Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien (Review)	IEEE Transactions on Neural Networks	2009	DBLP DOI BibTeX RDF
1	Michael W. Trosset, Carey E. Priebe, Youngser Park, Michael I. Miller	Semisupervised learning from dissimilarity data.	Computational Statistics & Data Analysis	2008	DBLP DOI BibTeX RDF
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	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	Vincent Ng	Semisupervised Learning for Computational Linguistics Steven Abney (University of Michigan) Boca Raton, FL: Chapman & Hall / CRC (Computer science and data analysis series, edited by David Madigan et al.), 2007, xi+308 pp; hardbound, ISBN 978-1-58488-559-7.	Computational Linguistics	2008	DBLP DOI BibTeX RDF
1	Maria Halkidi, Dimitrios Gunopulos, Michalis Vazirgiannis, Nitin Kumar, Carlotta Domeniconi	A clustering framework based on subjective and objective validity criteria.	TKDD	2008	DBLP DOI BibTeX RDF	similarity measure learning, space learning, data mining, cluster validity, Semisupervised learning
1	Junhui Wang	Efficient large margin semisupervised learning.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	Yoshiyuki Nakatani, Kuangyi Zhu, Kuniaki Uehara	Semisupervised learning using feature selection based on maximum density subgraphs.	Systems and Computers in Japan	2007	DBLP DOI BibTeX RDF
1	Xiaohua Hu, Daniel Duanqing Wu	Data Mining and Predictive Modeling of Biomolecular Network from Biomedical Literature Databases.	IEEE/ACM Trans. Comput. Biology Bioinform.	2007	DBLP DOI BibTeX RDF	Biomolecular network, biological complexes (communities), information extraction, scale-free network, semisupervised learning
1	David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram	On Classification with Incomplete Data.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	imperfect labeling, Classification, supervised learning, missing data, incomplete data, semisupervised learning
1	Ming Li, Zhi-Hua Zhou	Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples.	IEEE Transactions on Systems, Man, and Cybernetics, Part A	2007	DBLP DOI BibTeX RDF
1	Hoang Pham	Special Issue on Critical Reliability Challenges and Practices [Guest Editorial].	IEEE Transactions on Systems, Man, and Cybernetics, Part A	2007	DBLP DOI BibTeX RDF
1	Iván Machón González, Hilario López García	Fuzzy Labeled Self-organizing Map with Kernel-Based Topographic Map Formation.	ICANN	2007	DBLP DOI BibTeX RDF
1	Kun Zhao, Yingjie Tian, Naiyang Deng	Unsupervised and Semi-Supervised Two-class Support Vector Machines.	ICDM Workshops	2006	DBLP DOI BibTeX RDF	Bounded Support Vector Machines, unsupervised learning, Semidefinite Programming, margin, semisupervised learning
1	Gang Hua, Zicheng Liu, Zhengyou Zhang, Ying Wu	Iterative Local-Global Energy Minimization for Automatic Extraction of Objects of Interest.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Variational energy, level set, semisupervised learning
1	Shuang Wu, Chunyu Yang, Jie Zhou	Clustering-training for Data Stream Mining.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
1	Yasutoshi Yajima, Tien-Fang Kuo	Optimization Approaches for Semi-Supervised Multiclass Classification.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
1	Rong Zhang, Alexander I. Rudnicky	A New Data Selection Principle for Semi-Supervised Incremental Learning.	ICPR	2006	DBLP DOI BibTeX RDF
1	Mário A. T. Figueiredo	On Semi-supervised Learning.	MRCS	2006	DBLP DOI BibTeX RDF
1	Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán	Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	latent trait model, magnification factors, document mining, data visualization, Hierarchical model
1	Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman	Semisupervised Learning for Molecular Profiling.	IEEE/ACM Trans. Comput. Biology Bioinform.	2005	DBLP DOI BibTeX RDF	bioinformatics databases, data mining, clustering, Machine learning, similarity measures, biology and genetics, pattern analysis, classifier design and evaluation, feature evaluation and selection
1	Wen Wu, Datong Chen, Jie Yang 0001	Integrating co-training and recognition for text detection.	ICME	2005	DBLP DOI BibTeX RDF	standard text detection dataset, semisupervised learning tool, augmented data, modified cotraining scheme, authority knowledge, unlabeled image patch, classifier prediction, weighted combination, text recognition
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	Naoto Gotou, Akira Hayashi, Nobuo Suematsu	Learning with Segment Boundaries for Hierarchical HMMs.	ICAPR	2005	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	Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong	Semi-Supervised Learning for Software Quality Estimation.	ICTAI	2004	DBLP DOI BibTeX RDF
1	Tao Li, Shenghuo Zhu, Qi Li, Mitsunori Ogihara	Gene Functional Classification by Semisupervised Learning from Heterogeneous Data.	SAC	2003	DBLP BibTeX RDF
1	Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez	Feature selection for semisupervised learning applied to image retrieval.	ICIP	2003	DBLP BibTeX RDF