新規登録 | ログイン | FAQ      [?] 
Recent | Unread | Search | Authors | Tags | Export

dimatura library [121 articles]

最近 dimatura さんのライブラリ .
  • A unifying theorem for spectral embedding and clustering
    (2003)
    by M Brand, K Huang
    posted to clustering by dimatura on 2007-06-18 06:46:09 as ** along with 2 people sterovetta kaineci
  • Generative Model-Based Clustering of Directional Data
    (2003), pp. 19-28.
    by A Banerjee, IS Dhillon, J Ghosh, S Sra
    posted to clustering by dimatura on 2007-06-18 06:23:48 as **
  • Frequency flows and the time-frequency dynamics of multivariate phase synchronization in brain signals.
    Neuroimage (10 January 2006)
    by David Rudrauf, Abdel Douiri, Christopher Kovach, Jean-Philippe P Lachaux, Diego Cosmelli, Mario Chavez, Claude Adam, Bernard Renault, Jacques Martinerie, Michel Le Van Quyen
  • notes Automated Modeling and Nonlinear Axis Scaling
    by Leejay Wu
  • Advances in Cluster Analysis of Microarray Data
    by Qizheng Sheng, Yves Moreau, Frank De Smet, Kathleen Marchal, Bart De Moor
    posted to clustering by dimatura on 2007-05-22 11:42:46 as **
  • Biclustering of Expression Data
    pp. 93-103.
    by Yizong Cheng, George M Church
    posted to clustering coclustering microarray by dimatura on 2007-05-22 11:31:08 as ** along with 2 people burtonwu dps
  • Learning Gaussian Networks
    No. MSR-TR-94-10. (1994)
    by Dan Geiger, David Heckerman
  • A tutorial on learning with bayesian networks
    (1995)
  • Feature Subset Selection by Bayesian network-based optimization
    Artificial Intelligence, Vol. 123, No. 1-2. (2000), pp. 157-184.
    by Inaki Inza, Pedro Larranaga, R Etxeberria, Basilio Sierra
  • Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters.
    Bioinformatics, Vol. 17, No. 5. (May 2001), pp. 405-414.
    by AV Lukashin, R Fuchs
    posted to clustering microarray time_series by dimatura on 2007-05-22 11:28:38 as **
  • A mixture model-based approach to the clustering of microarray expression data.
    Bioinformatics, Vol. 18, No. 3. (March 2002), pp. 413-422.
    by GJ McLachlan, RW Bean, D Peel
    posted to clustering feature_selection microarray by dimatura on 2007-05-22 11:27:43 as **
  • Validating Clustering for Gene Expression Data
    BIOINF: Bioinformatics, Vol. 17 (2001)
    posted to clustering microarray by dimatura on 2007-05-22 11:26:18 as **
  • Pattern Recognition Techniques in Microarray Data Analysis: A Survey
    Ann NY Acad Sci, Vol. 980, No. 1. (1 December 2002), pp. 41-64.
    by Faramarz Valafar
    posted to clustering machine_learning microarray survey by dimatura on 2007-05-22 11:23:46 as **
  • notes A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
    Bioinformatics, Vol. 21, No. 5. (01 March 2005), pp. 631-643.
    by Alexander Statnikov, Constantin F Aliferis, Ioannis Tsamardinos, Douglas Hardin, Shawn Levy
  • Cluster-Weighted Modeling: Probabilistic Time Series Prediction, Characterization and Synthesis
    by Bernd Schoner, Neil Gershenfeld
    posted to clustering time_series by dimatura on 2007-05-22 10:47:56 as **
  • Adaptive dimension reduction for clustering high dimensional data
    by Chris Ding, Xiaofeng He, Hongyuan Zha, Horst Simon
    posted to clustering time_series by dimatura on 2007-05-22 10:37:02 as **
  • Scaling Clustering Algorithms to Large Databases
    (1998), pp. 9-15.
    by Paul S Bradley, Usama M Fayyad, Cory Reina
  • Experiments with a New Boosting Algorithm
    (1996), pp. 148-156.
    by Yoav Freund, Robert E Schapire
  • Relationship-based clustering and visualization for high-dimensional data mining
    (2002)
    by A Strehl, J Ghosh
    posted to clustering by dimatura on 2007-05-22 10:04:53 as **
  • Landscape of clustering algorithms
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, Vol. 1 (2004), pp. 260-263 Vol.1.
    by AK Jain, A Topchy, MHC Law, JM Buhmann
  • HMMs and coupled HMMs for multi-channel EEG classification
    (2002)
    by S Zhong, J Ghosh
    posted to bci graphical_model by dimatura on 2007-05-22 10:04:22 as **
  • Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 583-617.
    by Alexander Strehl, Joydeep Ghosh
    posted to clustering by dimatura on 2007-05-22 09:53:55 as **
  • Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 11. (2006), pp. 1798-1808.
    by LI Kuncheva, DP Vetrov
    posted to clustering by dimatura on 2007-05-22 09:50:21 as **
  • Random Projection for High Dimensional Data Clustering:
    by Cluster E Approach
    posted to clustering by dimatura on 2007-05-22 09:49:40 as ** along with 2 people burtonwu sugarexpletive
  • Solving cluster ensemble problems by bipartite graph partitioning
    (2004)
    by Xiaoli Z Fern, Carla E Brodley
    posted to clustering by dimatura on 2007-05-22 09:49:18 as ** along with 1 person maralena
  • Cluster Ensembles -- A Knowledge Reuse Framework for Combining Partitionings
    (July 2002), pp. 93-98.
    by Alexander Strehl, Joydeep Ghosh
    posted to clustering by dimatura on 2007-05-22 09:41:16 as **
  • Modelling gene expression data using dynamic Bayesian networks
    (1999)
    by K Murphy, S Mian
  • Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data.
    Nat Genet, Vol. 34, No. 2. (June 2003), pp. 166-176.
  • Graphical Models
    (2003)
    by M Jordan
    posted to graphical_model by dimatura on 2007-05-18 18:16:15 as ** along with 1 person naegele
  • Machine learning in bioinformatics.
    Brief Bioinform, Vol. 7, No. 1. (March 2006), pp. 86-112.
  • ENCLUS: Entropy-based Subspace Clustering for Mining Numerical Data
    Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-99) (1999)
    posted to clustering subspace by dimatura on 2007-05-18 17:44:02 as ** along with 1 person burtonwu
  • Irrelevant Features and the Subset Selection Problem
    (1994), pp. 121-129.
    by George H John, Ron Kohavi, Karl Pfleger
  • Learning with many irrelevant features
    Vol. 2 (1991), pp. 547-552.
    posted to feature_selection by dimatura on 2007-05-18 17:39:29 as **
  • Bayesian Graphical Models for Adaptive Filtering
    by Yi Zhang
  • Feature Selection for High-Dimensional Genomic Microarray Data
    (2001), pp. 601-608.
    by Eric P Xing, Michael I Jordan, Richard M Karp
  • Feature extraction by non parametric mutual information maximization
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1415-1438.
    by Kari Torkkola
    posted to feature_selection by dimatura on 2007-05-18 12:45:57 as **
  • Testing the Significance of Attribute Interactions
    (2004), pp. 409-416.
    by A Jakulin, I Bratko
    edited by R Greiner, D Schuurmans
    posted to feature_selection by dimatura on 2007-05-18 12:45:16 as ** along with 1 person eacosta
  • Searching for Interacting Features
    (2007)
    by Z Zhao, H Liu
    posted to feature_selection by dimatura on 2007-05-18 12:45:02 as ** along with 3 people sdvillal eacosta h-chi
  • An introduction to variable and feature selection
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182.
    by Isabelle Guyon, Andr&\#233; Elisseeff
  • Toward integrating feature selection algorithms for classification and clustering
    Knowledge and Data Engineering, IEEE Transactions on, Vol. 17, No. 4. (2005), pp. 491-502.
    by Huan Liu, Lei Yu
  • An Algorithm for Non-Distance Based Clustering in High Dimensional Spaces
    No. TR763. (2002)
    by Shenghuo Zhu, Tao Li
    posted to clustering subspace by dimatura on 2007-05-18 12:37:50 as **
  • Improving medical/biological data classification performance by wavelet preprocessing
    Data Mining, 2002. ICDM 2002. Proceedings. 2002 IEEE International Conference on (2002), pp. 657-660.
    by Qi Li, Tao Li, Shenghuo Zhu, C Kambhamettu
    posted to clustering wavelet by dimatura on 2007-05-18 12:36:37 as ** along with 1 person beete
  • A survey on wavelet applications in data mining
    SIGKDD Explor. Newsl., Vol. 4, No. 2. (December 2002), pp. 49-68.
    by Tao Li, Qi Li, Shenghuo Zhu, Mitsunori Ogihara
    posted to kdd wavelet by dimatura on 2007-05-18 12:35:30 as ** along with 4 people bigbossman mfuchs teds gimbiri
  • Mining event-related brain dynamics.
    Trends Cogn Sci, Vol. 8, No. 5. (May 2004), pp. 204-210.
    by S Makeig, S Debener, J Onton, A Delorme
  • Correlation clustering
    (2002)
    by N Bansal, A Blum, S Chawla
    posted to clustering by dimatura on 2007-05-18 11:13:32 as ** along with 3 people scis0000001 maralena jooce
  • Phase synchronization for the recognition of mental tasks in a brain-computer interface
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on [see also IEEE Trans. on Rehabilitation Engineering], Vol. 12, No. 4. (2004), pp. 406-415.
    by E Gysels, P Celka
    posted to bci synchrony by dimatura on 2007-05-18 10:59:03 as **
  • Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features
    (2006), pp. 857-864.
    by Le Song, Julien Epps
    posted to bci time_series by dimatura on 2007-05-18 10:53:29 as **
  • Learning to Decode Cognitive States from Brain Images: Special Issue: Data Mining Lessons Learned (Guest Editors: Nada Lavrac, Hiroshi Motoda and Tom Fawcett)
    Machine Learning, Vol. 57, No. 1-2., 145.
    by Tom M Mitchell, Rebecca Hutchinson, Radu S Niculescu, Francisco Pereira, Xuerui Wang, Marcel Just, Sharlene Newman
    posted to decoding by dimatura on 2007-05-18 10:32:49 as ** along with 2 people librain schulz
  • Segmentation using Eigenvectors: A Unifying View
    (1999), pp. 975-982.
    by Yair Weiss
    posted to clustering spectral by dimatura on 2007-05-18 10:25:32 as ** along with 1 person chrisatcite
  • On spectral clustering: Analysis and an algorithm
    (2001)
    by A Ng, M Jordan, Y Weiss
  • 注: このページを引用する時は次のURLでどうぞ: http://www.citeulike.org/user/dimatura

    Result page: 1 2 3 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.