Search results for "Unlabeled data"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Zhi-Hua Zhou, Ming Li	Tri-Training: Exploiting Unlabeled Data Using Three Classifiers.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	learning from unlabeled data, tri-training, Data mining, machine learning, semi-supervised learning, Web page classification, co-training
3	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
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	Bijan Raahemi, Weicai Zhong, Jing Liu	Exploiting unlabeled data to improve peer-to-peer traffic classification using incremental tri-training method.	Peer-to-Peer Networking and Applications	2009	DBLP DOI BibTeX RDF	Windowing technique, Tri-training, Peer-to-peer traffic, IP traffic identification, Concept drift, Unlabeled data, Stream data mining
2	Wenliang Chen, Daisuke Kawahara, Kiyotaka Uchimoto, Yujie Zhang, Hitoshi Isahara	Using Short Dependency Relations from Auto-Parsed Data for Chinese Dependency Parsing.	ACM Trans. Asian Lang. Inf. Process.	2009	DBLP DOI BibTeX RDF	Chinese dependency parsing, semi-supervised learning, unlabeled data
2	Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu	Semi-supervised Learning from General Unlabeled Data.	ICDM	2008	DBLP DOI BibTeX RDF
2	Yanpeng Li, Hongfei Lin, Zhihao Yang	Enhancing Biomedical Named Entity Classification Using Terabyte Unlabeled Data.	AIRS	2008	DBLP DOI BibTeX RDF	biomedical named entity, polynomial kernel, classification, SVM, semi-supervised learning, discretization
2	Isaac J. Sledge, Jacalyn M. Huband, James C. Bezdek	(Automatic) Cluster Count Extraction from Unlabeled Data Sets.	FSKD	2008	DBLP DOI BibTeX RDF
2	Bangzuo Zhang, Wanli Zuo	Tri-Training Based Learning from Positive and Unlabeled Data.	ISIP	2008	DBLP DOI BibTeX RDF	Tri-training, Learning From Positive And Unlabeled Data, Semi-supervised Learning
2	Gang Wang, Tat-Seng Chua, Ming Zhao 0003	Exploring knowledge of sub-domain in a multi-resolution bootstrapping framework for concept detection in news video.	ACM Multimedia	2008	DBLP DOI BibTeX RDF	text semantics, bootstrapping, domain knowledge, transductive learning, multi-resolution analysis, unlabeled data
2	Rujie Liu, Yuehong Wang, Takayuki Baba, Yusuke Uehara, Daiki Masumoto, Shigemi Nagata	SVM-Based Active Feedback in Image Retrieval Using Clustering and Unlabeled Data.	CAIP	2007	DBLP DOI BibTeX RDF
2	Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng	Self-taught learning: transfer learning from unlabeled data.	ICML	2007	DBLP DOI BibTeX RDF
2	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
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	Xintao Wu	Incorporating large unlabeled data to enhance EM classification.	J. Intell. Inf. Syst.	2006	DBLP DOI BibTeX RDF	Classification, Bootstrap, Expectation maximization
2	Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi	Using Weighted Nearest Neighbor to Benefit from Unlabeled Data.	PAKDD	2006	DBLP DOI BibTeX RDF
2	Chang-Hwan Lee	A Semi-naive Bayesian Learning Method for Utilizing Unlabeled Data.	KES	2006	DBLP DOI BibTeX RDF
2	Zhi-Hua Zhou	Learning with Unlabeled Data and Its Application to Image Retrieval.	PRICAI	2006	DBLP DOI BibTeX RDF
2	Ping Gu, Qingsheng Zhu, Xiping He	Concept Based Text Classification Using Labeled and Unlabeled Data.	ADMA	2006	DBLP DOI BibTeX RDF
2	Vikas Sindhwani, S. Sathiya Keerthi	Large scale semi-supervised linear SVMs.	SIGIR	2006	DBLP DOI BibTeX RDF	support vector machines, global optimization, text categorization, unlabeled data
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	Maria-Florina Balcan, Avrim Blum	A PAC-Style Model for Learning from Labeled and Unlabeled Data.	COLT	2005	DBLP DOI BibTeX RDF
2	Matti Kääriäinen	Generalization Error Bounds Using Unlabeled Data.	COLT	2005	DBLP DOI BibTeX RDF
2	Tak-Lam Wong, Wai Lam	Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples.	ICMLC	2005	DBLP DOI BibTeX RDF
2	Tao Wu, Hanqing Zhao	Constructing Support Vector Classifiers with Unlabeled Data.	ISNN	2004	DBLP DOI BibTeX RDF
2	Fei Wu, Yonglei Zhou, Changshui Zhang	Relevant Linear Feature Extraction Using Side-information and Unlabeled Data.	ICPR	2004	DBLP DOI BibTeX RDF
2	Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang	Exploiting Unlabeled Data in Content-Based Image Retrieval.	ECML	2004	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	Tao Wu, Hanqing Zhao	Classifying Unlabeled Data with SVMs.	WSC	2004	DBLP DOI BibTeX RDF
2	Maokuan Li, Yusheng Cheng, Honghai Zhao	Unlabeled Data Classification via Support Vector Machines and k-means Clustering.	CGIV	2004	DBLP DOI BibTeX RDF	Data Mining, Support Vector Machines, k-means clustering
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	Naonori Ueda, Masashi Inoue	Extended Tied-Mixture HMMs for Both Labeled and Unlabeled Time Series Data.	VLSI Signal Processing	2004	DBLP DOI BibTeX RDF	extended tied-mixture model, extended Baum-Welch algorithm, pattern recognition, hidden Markov model, EM algorithm, unlabeled data
2	Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Zoran Obradovic	Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining.	ICDM	2003	DBLP DOI BibTeX RDF
2	Seong-Bae Park, Byoung-Tak Zhang	Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information.	PAKDD	2003	DBLP DOI BibTeX RDF
2	Seong-Bae Park, Byoung-Tak Zhang	Automatic Webpage Classification Enhanced by Unlabeled Data.	IDEAL	2003	DBLP DOI BibTeX RDF
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	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
2	Jean-Noël Vittaut, Massih-Reza Amini, Patrick Gallinari	Learning Classification with Both Labeled and Unlabeled Data.	ECML	2002	DBLP DOI BibTeX RDF
2	Massih-Reza Amini, Patrick Gallinari	The use of unlabeled data to improve supervised learning for text summarization.	SIGIR	2002	DBLP DOI BibTeX RDF	text-span extraction, machine learning, semi-supervised learning, text summarization
2	Andrew Skabar	Augmenting Supervised Neural Classifier Training Using a Corpus of Unlabeled Data.	KI	2002	DBLP DOI BibTeX RDF
2	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
2	Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang	PEBL: positive example based learning for Web page classification using SVM.	KDD	2002	DBLP DOI BibTeX RDF	Mapping-Convergence (M-C) algorithm, SVM (Support Vector Machine), labeled data, unlabeled data
2	C. H. Li	Constrained Minimum Cut for Classification Using Labeled and Unlabeled Data.	CVPR	2001	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	Seonho Kim, Juntae Yoon, Jungyun Seo, Seog Park	Improving Korean verb-verb morphological disambiguation using lexical knowledge from unambiguous unlabeled data and selective web counts.	Pattern Recognition Letters	2012	DBLP DOI BibTeX RDF
1	Youngja Park, Zijie Qi, Suresh Chari, Ian M. Molloy	Generating Balanced Classifier-Independent Training Samples from Unlabeled Data.	PAKDD	2012	DBLP DOI BibTeX RDF
1	Haoji Hu, Chaofeng Sha, Xiaoling Wang, Aoying Zhou	Estimate Unlabeled-Data-Distribution for Semi-supervised PU Learning.	APWeb	2012	DBLP DOI BibTeX RDF
1	Thanh-Binh Le, Sang-Woon Kim	On Improving Semi-supervised Marginboost Incrementally using Strong Unlabeled Data.	ICPRAM	2012	DBLP BibTeX RDF
1	Donghai Guan, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee	Identifying mislabeled training data with the aid of unlabeled data.	Appl. Intell.	2011	DBLP DOI BibTeX RDF
1	Enmin Song, Dongshan Huang, Guangzhi Ma, Chih-Cheng Hung	Semi-supervised multi-class Adaboost by exploiting unlabeled data.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Xiukuan Zhao, Min Li, Jinwu Xu, Gangbing Song	An effective procedure exploiting unlabeled data to build monitoring system.	Expert Syst. Appl.	2011	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	Hai-jiang He	A Co-Ranking Algorithm for Learning Listwise Ranking Functions from Unlabeled Data.	JCP	2011	DBLP DOI BibTeX RDF
1	Yanjuan Li, Maozu Guo	Web Page Classification Using Relational Learning Algorithm and Unlabeled Data.	JCP	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	Niloofar Mozafari, Sattar Hashemi, Ali Hamzeh	A Precise Statistical approach for concept change detection in unlabeled data streams.	Computers & Mathematics with Applications	2011	DBLP DOI BibTeX RDF
1	Chien-Hsing Chen	Feature Selectionfor Unlabeled Data.	ICSI	2011	DBLP DOI BibTeX RDF
1	Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad T. Manzuri, Mohammad H. Rohban	Active Learning from Positive and Unlabeled Data.	ICDM Workshops	2011	DBLP DOI BibTeX RDF
1	Yunbo Cao, Zhiyuan Chen, Jiamin Zhu, Pei Yue, Chin-Yew Lin, Yong Yu	Leveraging Unlabeled Data to Scale Blocking for Record Linkage.	IJCAI	2011	DBLP BibTeX RDF
1	Weiwei Sun, Jia Xu	Enhancing Chinese Word Segmentation Using Unlabeled Data.	EMNLP	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	Zhi-Hua Zhou	Unlabeled Data and Multiple Views.	PSL	2011	DBLP DOI BibTeX RDF
1	Young Tae Lee, Yong Joon Shin, Cheong Hee Park	Extending Linear Discriminant Analysis by Using Unlabeled Data.	CIT	2011	DBLP DOI BibTeX RDF
1	Michaela Regneri, Alexander Koller, Josef Ruppenhofer, Manfred Pinkal	Learning Script Participants from Unlabeled Data.	RANLP	2011	DBLP BibTeX RDF
1	Tomoya Iwakura	A Named Entity Recognition Method using Rules Acquired from Unlabeled Data.	RANLP	2011	DBLP BibTeX RDF
1	Ruth Urner, Shai Shalev-Shwartz, Shai Ben-David	Access to Unlabeled Data can Speed up Prediction Time.	ICML	2011	DBLP BibTeX RDF
1	Yu-Feng Li, Zhi-Hua Zhou	Towards Making Unlabeled Data Never Hurt.	ICML	2011	DBLP BibTeX RDF
1	Maria A. Zuluaga, Don Hush, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz	Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images.	MICCAI	2011	DBLP DOI BibTeX RDF
1	David Tomás, Claudio Giuliano	Exploiting Unlabeled Data for Question Classification.	NLDB	2011	DBLP DOI BibTeX RDF
1	Mohamed Farouk Abdel Hady	Semi-supervised learning with committees: exploiting unlabeled data using ensemble learning algorithms.		2010	RDF
1	Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang	Learning an enriched representation from unlabeled data for protein-protein interaction extraction.	BMC Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Luigi Cerulo, Charles Elkan, Michele Ceccarelli	Learning gene regulatory networks from only positive and unlabeled data.	BMC Bioinformatics	2010	DBLP DOI BibTeX RDF
1	Asif Ekbal, Sivaji Bandyopadhyay	Named Entity Recognition Using Appropriate Unlabeled Data, Post-processing and Voting.	Informatica (Slovenia)	2010	DBLP 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		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	Min-Ling Zhang, Zhi-Hua Zhou	Exploiting Unlabeled Data to Enhance Ensemble Diversity.	ICDM	2010	DBLP DOI BibTeX RDF
1	Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki	Efficient Kernel Learning from Constraints and Unlabeled Data.	ICPR	2010	DBLP DOI BibTeX RDF
1	Mehmed M. Kantardzic, Joung Woo Ryu, Chamila Walgampaya	Building a New Classifier in an Ensemble Using Streaming Unlabeled Data.	IEA/AIE	2010	DBLP DOI BibTeX RDF
1	Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester, Aoying Zhou	Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy.	WAIM	2010	DBLP DOI BibTeX RDF
1	Ki Chan, Wai Lam, Tak-Lam Wong	Discovery of logic relations for text mining adaptation using unlabeled data.	RIAO	2010	DBLP BibTeX RDF
1	Ki Chan, Tak-Lam Wong, Wai Lam	Adapting relational logic models using unlabeled data.	ICMLC	2010	DBLP DOI BibTeX RDF
1	Tak-Lam Wong, Kai-On Chow, Fu Lee Wang, Philip M. Tsang	Improving Markov Logic Network learning using unlabeled data.	ICMLC	2010	DBLP DOI BibTeX RDF
1	Shuhui Wang, Qingming Huang, Shuqiang Jiang, Qi Tian	Nearest-neighbor classification using unlabeled data for real world image application.	ACM Multimedia	2010	DBLP DOI BibTeX RDF
1	Pei-Pei Li, Xindong Wu, Xuegang Hu	Learning from Concept Drifting Data Streams with Unlabeled Data.	AAAI	2010	DBLP BibTeX RDF
1	Mingjie Qian, Bo Chen, Hongzhi Xu, Hongwei Qi	How about utilizing ordinal information from the distribution of unlabeled data.	CIKM	2010	DBLP DOI BibTeX RDF
1	Snigdha Chaturvedi, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania	Estimating accuracy for text classification tasks on large unlabeled data.	CIKM	2010	DBLP DOI BibTeX RDF
1	Tomoya Iwakura	A Named Entity Extraction using Word Information Repeatedly Collected from Unlabeled Data.	CICLing	2010	DBLP DOI BibTeX RDF
1	Jun Wu, Zheng-Kui Lin, Mingyu Lu	Asymmetric semi-supervised boosting for SVM active learning in CBIR.	CIVR	2010	DBLP DOI BibTeX RDF	image retrieval, relevance feedback, active learning, semi-supervised learning, boosting
1	Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, Peng Liu	Semi-supervised sparse metric learning using alternating linearization optimization.	KDD	2010	DBLP DOI BibTeX RDF	alternating linearization, semi-supervised sparse metric learning, sparse inverse covariance estimation, metric learning
1	Annalisa Appice, Michelangelo Ceci, Donato Malerba	Transductive learning for spatial regression with co-training.	SAC	2010	DBLP DOI BibTeX RDF	spatial regression, co-training, transductive learning
1	Jun Yan, Zeyu Zheng, Li Jiang, Yan Li, Shuicheng Yan, Zheng Chen	A co-learning framework for learning user search intents from rule-generated training data.	SIGIR	2010	DBLP DOI BibTeX RDF	classification, search engine, user intent
1	Yi Zhen, Dit-Yan Yeung	SED: supervised experimental design and its application to text classification.	SIGIR	2010	DBLP DOI BibTeX RDF	supervised experimental design, active learning, text classification, convex optimization
1	Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka	Relational duality: unsupervised extraction of semantic relations between entities on the web.	WWW	2010	DBLP DOI BibTeX RDF	relational duality, relational similarity, web mining, relation extraction
1	Hongwen Kang, Kuansan Wang, David Soukal, Fritz Behr, Zijian Zheng	Large-scale bot detection for search engines.	WWW	2010	DBLP DOI BibTeX RDF	bot detection, click logs, search engine, semi-supervised learning, query logs, captcha
1	Liang Wang 0001, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek	Automatically Determining the Number of Clusters in Unlabeled Data Sets.	IEEE Trans. Knowl. Data Eng.	2009	DBLP DOI BibTeX RDF