Register | Log in | FAQ      [?] 

Tag semi-supervised [81 articles]

Recent papers classified by the tag semi-supervised.
  • The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks
    (2007), pp. 49-56.
    by Arik Azran
    posted to clustering learning markov random semi-supervised walks by vlachmore on 2007-10-26 14:40:37 as ****
  • Weakly Supervised Learning Methods for Improving the Quality of Gene Name Normalization Data
    (2005)
    by Ben Wellner
    posted to bionlp gene normalization semi-supervised by vlachmore on 2007-12-17 17:51:03 as **
  • Semi-supervised learning using Gaussian fields and harmonic functions
    (2003)
    by X Zhu, Z Ghahramani, J Lafferty
    posted to fields gaussian learning random semi-supervised by vlachmore on 2007-11-08 11:49:15 as read along with 2 people buescher76 ananthrk
  • Learning from labeled and unlabeled data on a directed graph
    (2005), pp. 1036-1043.
    by Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf
    posted to clustering graph semi-supervised spectral spectral_clustering by vlachmore on 2008-01-30 17:21:52 as ***** along with 2 people lfriedl georgiad
  • Limitations of Co-Training for Natural Language Learning from Large Datasets
    (# 2001)
    by David Pierce, Claire Cardie
    posted to co-training semi-supervised by vlachmore on 2007-10-04 18:28:14 as read along with 2 people jdu davidr
  • A high-performance semi-supervised learning method for text chunking
    (2005), pp. 1-9.
    by Rie K Ando, Tong Zhang
    posted to aso correspondence learning semi-supervised structural by vlachmore on 2007-10-08 20:31:31 as read along with 1 person bundschu
  • Partially labeled classification with Markov random walks
    Vol. 14 (2001)
    by Martin Szummer, Tommi Jaakkola
    posted to classification learning markov random semi-supervised walks by vlachmore on 2007-11-23 15:49:13 as **** along with 1 person ChaTo
  • Combining active learning and semi-supervised learning using gaussian fields and harmonic functions
    (2003)
    by X Zhu, J Lafferty, Z Ghahramani
    posted to active_learning active fields functions gaussian harmonic learning semi-supervised by vlachmore on 2007-11-07 15:19:00 as read
  • Active Semi-Supervised Learning = Robust Multi-View Learning
    (2002), pp. 435-442.
    by Ion Muslea, Steven Minton, Craig A Knoblock
    posted to active active_learning learning semi-supervised by vlachmore on 2008-01-24 02:20:08 as **
  • Combining labeled and unlabeled data with co-training
    (1998), pp. 92-100.
    by Avrim Blum, Tom Mitchell
    posted to co-training learning machine semi-supervised by vlachmore on 2007-10-04 17:30:57 as ** along with 5 people sithmein jccaicedo bfraser amargoli sids
  • Using EM to Classify Text from Labeled and Unlabeled Documents
    (1998)
    by K Nigam, A Mccallum, S Thrun, T Mitchell
    posted to classification expectation-maximization semi-supervised text by vlachmore on 2007-10-04 17:19:59 as read
  • Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    BMC Bioinformatics, Vol. 8, No. Suppl 10. (2007)
    by Ivan Costa, Roland Krause, Lennart Opitz, Alexander Schliep
    posted to course development drosophila expression gene in learning semi-supervised situ time by vanvanka on 2008-04-02 13:10:19 as ***
  • Unsupervised models for named entity classification
    (1999)
    by M Collins, Y Singer
    posted to semi-supervised by sugarexpletive on 2008-05-22 17:23:59 as read along with 4 people davidr andi_urra mukundn johnkork
  • Exploiting Unlabeled Data in Ensemble Methods
    by Kristin P Bennett, Ayhan Demiriz
    posted to semi-supervised ensemble by sugarexpletive on 2008-05-22 17:23:02 as read
  • Integrating constraints and metric learning in semi-supervised clustering
    (2004)
    by M Bilenko, S Basu, R Mooney
    posted to k-means semi-supervised unsupervised by sona on 2007-02-08 18:36:56 as ****
  • A Probabilistic Framework for Semi-Supervised Clustering
    (August 2004), pp. 59-68.
    by Sugato Basu, Mikhail Bilenko, Raymond J Mooney
    posted to hidden-markov-random-fields probabilistic semi-supervised unsupervised by sona on 2007-02-08 18:28:47 as **** along with 3 people anon_pl lfdoherty pkufranky
  • On Discovery of Extremely Low-Dimensional Clusters Using Semi-Supervised Projected Clustering
    by Kevin Y Yip, David W Cheung, Michael K Ng
    posted to semi-supervised unsupervised by sona on 2007-02-08 18:22:37 as ****
  • Semi-supervised clustering with user feedback
    (2003)
    by D Cohn, R Caruana, A Mccallum
    posted to active-learning probabilistic semi-supervised by sona on 2007-02-09 14:39:14 as **** along with 3 people ldietz anon_pl koles
  • Active semi-supervision for pairwise constrained clustering
    (2004)
    by S Basu, A Banerjee, R Mooney
    posted to active-learning k-means semi-supervised unsupervised by sona on 2007-02-09 14:33:04 as ***
  • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    (2002)
    by D Klein, S Kamvar, C Manning
    posted to bottom-up complete-link-clustering semi-supervised unsupervised by sona on 2007-02-08 17:37:13 as read along with 3 people sb-3000 fcamel vlachmore
  • Learning to cluster using local neighborhood structure
    by R Rosales, K Achan, B Frey
    posted to unsupervised text-classification semi-supervised probabilistic linked-input by sona on 2007-02-09 15:29:35 as ****
  • Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering
    (2003)
    by S Basu, M Bilenko, R Mooney
    posted to k-means probabilistic semi-supervised unsupervised by sona on 2007-02-09 15:21:47 as **
  • Constrained K-means Clustering with Background Knowledge
    (2001), pp. 577-584.
    by Kiri Wagsta, Claire Cardie, Seth Rogers, Stefan Schroedl
    posted to k-means semi-supervised unsupervised by sona on 2007-02-08 17:16:11 as read
  • Semi-supervised clustering by seeding
    (2002)
    by S Basu, A Banerjee, R Mooney
    posted to k-means semi-supervised unsupervised by sona on 2007-02-08 18:52:15 as **** along with 4 people samal anon_pl jread82 nklee
  • Clustering with Soft and Group Constraints
    by Martin L Alexander
    posted to probabilistic semi-supervised unsupervised by sona on 2007-02-08 18:50:02 as ****
  • Using Manifold Structure for Partially Labelled Classification
    (2002), 929.
    by Mikhail Belkin, Partha Niyogi
    posted to dimension-reduction semi-supervised spectral by sdvillal on 2006-10-15 12:48:52 as ** along with 1 person mthomure
  • A PAC-Style Model for Learning from Labeled and Unlabeled Data
    Lecture Notes in Computer Science, Vol. 3559 (June 2005), pp. 111-126.
    by Maria-Florina Balcan, Avrim Blum
    posted to semi-supervised by sdvillal on 2007-11-27 20:32:25 as ** along with 3 people davidr worldsun peterlowey
  • Spectral feature selection for supervised and unsupervised learning
    (2007), pp. 1151-1157.
    by Zheng Zhao, Huan Liu
    posted to dimension-reduction feature-selection locality lpp semi-supervised by sdvillal on 2007-10-12 20:16:11 as ** along with 2 people sugarexpletive jjrodriguez
  • Semi-supervised learning with graphs
    (2005)
    by Xiaojin Zhu
    posted to dimension-reduction semi-supervised spectral by sdvillal on 2006-09-29 11:15:43 as ** along with 1 person kozaki
  • Semi-Supervised Learning (Adaptive Computation and Machine Learning)
    (01 September 2006)
    edited by O Chapelle, B Schölkopf, A Zien
    posted to semi-supervised by sdvillal on 2006-11-30 11:16:38 as ** along with 6 people jdu jekky ecome bundschu worldsun jung_dalglish
  • Learning probabilistic classifiers for human-computer interaction applications
    Multimedia Systems, Vol. V10, No. 6. (10 October 2005), pp. 484-498.
    by Nicu Sebe, Ira Cohen, Fabio G Cozman, Theo Gevers, Thomas S Huang
    posted to acii-2007 emotion-recognition occ-applications occ-statistical semi-supervised by sdvillal on 2007-03-02 18:03:28 as **
  • Combining Labeled and Unlabeled Data with Co-training
    (1998)
    by Avrim Blum, Tom Mitchell
    posted to co-training semi-supervised by sdvillal on 2008-04-19 16:17:07 as ** along with 9 people and 2 groups jdu sugarexpletive markymaypo gangli davidr andi_urra mukundn bpacker gkvas ARTFL tulip
  • The Dissimilarity Representation for Pattern Recognition: Foundations And Applications (Machine Perception and Artificial Intelligence)
    (23 December 2005)
    by Elzbieta Pekalska, Robert PW Duin
    posted to acii-2007 dimension-reduction distance-metrics featureless occ-others semi-supervised by sdvillal on 2007-01-22 14:29:48 as **
  • Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    (2007)
    by Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos
    posted to dimension-reduction graphs learning-on-graphs occ-applications occ-high-dimensional occ-others scalability semi-supervised spectral by sdvillal on 2008-04-16 09:23:18 as ** along with 1 person duce
  • An algorithm for semi-supervised learning in image retrieval
    Pattern Recognition, Vol. 39, No. 4. (April 2006), pp. 717-720.
    by Ke Lu, Jidong Zhao, Deng Cai
    posted to dimension-reduction kernel-machines semi-supervised spectral by sdvillal on 2006-10-15 17:28:26 as ** along with 4 people and 1 group thienanh kozaki thsant seudonimo_falso video_retrieval
  • Regularization and Semi-supervised Learning on Large Graphs
    Lecture Notes in Computer Science, Vol. 3120 (January 2004), pp. 624-638.
    by Mikhail Belkin, Irina Matveeva, Partha Niyogi
    posted to semi-supervised spectral by sdvillal on 2006-10-05 19:25:34 as ** along with 5 people trunov tmmurali Redrobot craigtalbert student_t
  • Agnostic active learning
    (2006), pp. 65-72.
    by Maria-Florina Balcan, Alina Beygelzimer, John Langford
    posted to reductions semi-supervised by sdvillal on 2006-09-15 12:22:01 as ** along with 1 person Mohan-S
  • Feature selection for semisupervised learning applied to image retrieval
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, Vol. 2 (2003), pp. II-559-62 vol.3.
    by M Najjar, C Ambroise, JP Cocquerez
    posted to dimension-reduction feature-selection multimedia-ir semi-supervised by sdvillal on 2006-09-26 15:40:51 as ** along with 1 person mdifranc
  • Semi-supervised nonlinear dimensionality reduction
    (2006), pp. 1065-1072.
    by Xin Yang, Haoying Fu, Hongyuan Zha, Jesse Barlow
    posted to dimension-reduction semi-supervised spectral by sdvillal on 2006-09-15 12:14:55 as **
  • A semi-supervised document clustering algorithm based on EM
    Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on (2005), pp. 200-206.
    by L Rigutini, M Maggini
    posted to dimension-reduction semi-supervised by sdvillal on 2006-09-26 15:40:30 as ** along with 1 person kozaki
  • Finding Transport Proteins in a General Protein Database
    Knowledge Discovery in Databases: PKDD 2007 (2007), pp. 54-66.
    by Sanmay Das, Milton Saier, Charles Elkan
    posted to bioinformatics occ-to-supervised partially-labeled-data semi-supervised by sdvillal on 2007-12-25 15:56:14 as **
  • Semisupervised learning using feature selection based on maximum density subgraphs
    Systems and Computers in Japan, Vol. 38, No. 9. (2007), pp. 32-43.
    by Yoshiyuki Nakatani, Kuangyi Zhu, Kuniaki Uehara
    posted to dimension-reduction feature-selection learning-on-graphs locality semi-supervised by sdvillal on 2008-04-16 10:01:47 as **
  • Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 12. (2004), pp. 1553-1566.
    by I Cohen, FG Cozman, N Sebe, MC Cirelo, TS Huang
    posted to emotion-recognition semi-supervised by sdvillal on 2006-10-05 18:13:59 as **
  • A semi-supervised framework for mapping data to the intrinsic manifold
    Tenth IEEE International Conference on Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 98-105 Vol. 1.
    by Haifeng Gong, Chunhong Pan, Qing Yang, Hanqing Lu, Songde Ma
    posted to dimension-reduction semi-supervised by sdvillal on 2006-12-01 13:26:46 as ** along with 2 people and 1 group walkking sancho Computer_Graphics
  • Semi-supervised time series classification
    (2006), pp. 748-753.
    by Li Wei, Eamonn Keogh
    posted to semi-supervised time-series by sdvillal on 2006-09-04 16:54:41 as **
  • Building Text Classifiers Using Positive and Unlabeled Examples
    (2003)
    by Bing Liu, Yang Dai, Xiaoli Li, Wee S Lee, Philip S Yu
    posted to unsupervised-dr-for-classification text-classification semi-supervised occ-others occ-applications by sdvillal on 2008-06-09 10:23:19 as **
  • Single-Class Classification with Mapping Convergence
    Machine Learning, Vol. 61, No. 1-3. (November 2005), pp. 49-69.
    by Hwanjo Yu
    posted to occ-applications occ-support-vector occ-to-supervised semi-supervised by sdvillal on 2007-03-01 09:53:36 as **
  • Cluster kernels for semi-supervised learning
    Vol. 15 (2003)
    by O Chapelle, J Weston, B Schölkopf
    posted to semi-supervised distance-metrics by sdvillal on 2007-01-19 14:34:20 as ** along with 1 person scis0000001
  • Feature Selection and the Class Imbalance Problem in Predicting Protein Function from Sequence
    Applied Bioinformatics., Vol. 4, No. 3. (2005), pp. 195-203.
    by Ali Al-Shahib
    posted to bioinformatics dimension-reduction feature-selection semi-supervised by sdvillal on 2006-10-13 14:07:24 as **
  • Using the information embedded in the testing sample to break the limits caused by the small sample size in microarray-based classification
    BMC Bioinformatics, Vol. 9 (14 June 2008), 280.
    by Manli Zhu, Aleix M Martinez
    posted to size semi-supervised sample lda classification by ptrobajo on 2008-07-03 12:55:46 as **
    • Note: You may cite this page as: http://www.citeulike.org/tag/semi-supervised

    Result page: 1 2 Next RIS BibTeX RSS
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.