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Tag unsupervised [114 articles]

Recent papers classified by the tag unsupervised.
  • Learning by googling
    SIGKDD Explor. Newsl., Vol. 6, No. 2. (December 2004), pp. 24-33.
    by Philipp Cimiano, Steffen Staab
    posted to ie unsupervised web by yoavg on 2007-02-28 09:43:40 as **** along with 2 people and 1 group dropit fmccown NLP
  • Maximum Likelihood from Incomplete Data via the EM Algorithm
    Journal of the Royal Statistical Society. Series B (Methodological), Vol. 39, No. 1. (1977), pp. 1-38.
    by AP Dempster, NM Laird, DB Rubin
  • Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces
    (2004), pp. 41-48.
    by Amruta Purandare, Ted Pedersen
    posted to clustering unsupervised word-sense word-sense-discrimination by ykuoka on 2008-01-14 12:03:34 as **
  • Word Sense Induction: Triplet-Based Clustering and Automatic Evaluation
    (2006)
    by Stefan Bordag
  • Automatic Word Sense Discrimination
    Computational Linguistics, Vol. 24, No. 1. (1998), pp. 97-123.
    by Hinrich Schutze
  • Automatic cluster stopping with criterion functions and the gap statistic
    (2006), pp. 276-279.
    by Ted Pedersen, Anagha Kulkarni
    posted to clustering number-of-clusters unsupervised by ykuoka on 2008-01-09 13:07:57 as read
  • Probabilistic latent semantic indexing
    (1999), pp. 50-57.
    by Thomas Hofmann
  • Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections
    (1992), pp. 318-329.
    by Douglass R Cutting, Jan O Pedersen, David Karger, John W Tukey
  • notes Think globally, fit locally: unsupervised learning of low dimensional manifolds
    J. Mach. Learn. Res., Vol. 4 (2003), pp. 119-155.
    by Lawrence K Saul, Sam T Roweis
  • notes Nonlinear Dimensionality Reduction by Locally Linear Embedding
    Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326.
    by Sam T Roweis, Lawrence K Saul
  • A Unifying Review of Linear Gaussian Models
    (1997)
    by Sam Roweis, Zoubin Ghahramani
  • Unsupervised models for named entity classification
    (1999)
    by M Collins, Y Singer
  • Sufficient Dimensionality Reduction
    by Amir Globerson, Naftali Tishby
  • Comparing clusterings--an information based distance
    Journal of Multivariate Analysis, Vol. 98, No. 5. (May 2007), pp. 873-895.
    by Marina Meila
  • Detecting Stable Clusters Using Principal Component Analysis
    Functional Genomics (2003), pp. 159-182.
    by Asa Ben-Hur, Isabelle Guyon
  • Unsupervised Feature Selection Using Feature Similarity
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 4. (2002)
    by P Mitra, CA Murthy, SK Pal
  • Variable Selection for Model-Based Clustering
    Journal of the American Statistical Association, Vol. 101, No. 473. (March 2006), pp. 168-178.
    by Adrian E Raftery, Nema Dean
  • Unsupervised Forward Selection: A Method for Eliminating Redundant Variables
    J. Chem. Inf. Comput. Sci., Vol. 40, No. 5. (25 September 2000), pp. 1160-1168.
    by DC Whitley, MG Ford, DJ Livingstone
  • CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts
    (2001)
    by Eric P Xing, Richard M Karp
  • Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields
    Geoscience and Remote Sensing, IEEE Transactions on, Vol. 41, No. 3. (2003), pp. 675-686.
    posted to classification fields markov random sar unsupervised by tyler on 2006-11-15 15:56:16 as *****
  • An unsupervised neural network model for the development of reflex co-ordination.
    Biol Cybern, Vol. 70, No. 5. (1994), pp. 417-425.
    posted to development learning reflex spinal unsupervised by synergenz on 2006-06-23 18:50:34 as **
  • Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
    Vol. 38 (2005)
    by Kingsly Leung, Christopher Leckie
    posted to anomalydetection intrusiondetection unsupervised by sparikh on 2007-03-20 03:53:38 as **
  • 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
  • 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 ****
  • 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 ***
  • Data clustering: a review
    ACM Computing Surveys, Vol. 31, No. 3. (1999), pp. 264-323.
    by AK Jain, MN Murty, PJ Flynn
  • 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
  • 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
  • Cluster-based concept invention for statistical relational learning
    (2004)
    by A Popescul, L Ungar
    posted to relational-learning unsupervised by sona on 2007-06-11 09:31:40 as **
  • Learning to cluster using local neighborhood structure
    by R Rosales, K Achan, B Frey
  • 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 **
  • Semi-supervised clustering by seeding
    (2002)
    by S Basu, A Banerjee, R Mooney
  • 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 ****
  • PCA-based feature selection scheme for machine defect classification
    Instrumentation and Measurement, IEEE Transactions on, Vol. 53, No. 6. (2004), pp. 1517-1525.
    by A Malhi, RX Gao
  • Monitoring and diagnosis of rolling element bearings using artificial neural networks
    Industrial Electronics, IEEE Transactions on, Vol. 40, No. 2. (1993), pp. 209-217.
  • Induction machine fault detection using SOM-based RBF neural networks
    Industrial Electronics, IEEE Transactions on, Vol. 51, No. 1. (2004), pp. 183-194.
    by S Wu, TWS Chow
  • The self-organizing map
    Proceedings of the IEEE, Vol. 78, No. 9. (1990), pp. 1464-1480.
    by T Kohonen
  • The ASTOOT approach to testing object-oriented programs
    ACM Transactions on Software Engineering and Methodology, Vol. 3, No. 2. (1994), pp. 101-130.
    by Roong K Doong, Phyllis G Frankl
  • Discovering Algebraic Specifications from Java Classes
    (July 2003)
    by Johannes Henkel, Amer Diwan
    edited by Luca Cardelli
  • Automatic Extraction of Object-Oriented Component Interfaces
    (July 2002)
    by John Whaley, Michael C Martin, Monica S Lam
  • Unsupervised and auto-adaptive neural architecture for on-line monitoring. Application to a hydraulic process
    Engineering Applications of Artificial Intelligence, Vol. 16, No. 5-6. ( 2003), pp. 441-451.
    by Christophe Lurette, Stephane Lecoeuche
  • Unsupervised Learning of Image Manifolds by Semidefinite Programming
    International Journal of Computer Vision, Vol. 70, No. 1. (October 2006), pp. 77-90.
    by Kilian Weinberger, Lawrence Saul
  • Features for unsupervised document classification
    (2002), pp. 1-7.
  • Unsupervised learning on k-partite graphs
    (2006), pp. 317-326.
    by Bo Long, Xiaoyun Wu, Zhongfei ( Zhang, Philip S Yu
  • A Graph Model for Unsupervised Lexical Acquisition
    (August 2002), pp. 1093-1099.
    by Dominic Widdows, Beate Dorow
  • Recent Studies in Automatic Text Analysis and Document Retrieval
    J. ACM, Vol. 20, No. 2. (April 1973), pp. 258-278.
    by G Salton
    posted to unsupervised rulebased informationretrieval fulltext dictionary by satre on 2008-07-27 04:55:09 as ***
  • Feature Weighting in <i>k</i>-Means Clustering
    Mach. Learn., Vol. 52, No. 3. (September 2003), pp. 217-237.
    by Dharmendra S Modha, Scott W Spangler
  • Simultaneous Feature Selection and Clustering Using Mixture Models
    by Martin HC Law, Mario AT Figueiredo, Anil K Jain
  • Clustering by compression
    Information Theory, IEEE Transactions on, Vol. 51, No. 4. (2005), pp. 1523-1545.
    by R Cilibrasi, PMB Vitanyi
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