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kohei-h's library [47 articles]

Recent papers added to kohei-h's library.
  • Posterior Mode Estimation by Extended Kalman Filtering for Multivariate Dynamic Generalized Linear Models
    Journal of the American Statistical Association, Vol. 87, No. 418. (1992), pp. 501-509.
    by Ludwig Fahrmeir
    posted to state-space by kohei-h on 2008-07-25 10:37:41 as **
  • Multivariate Statistical Modelling Based on Generalized Linear Models (Springer Series in Statistics)
    (20 April 2001)
    by Ludwig Fahrmeir, Gerhard Tutz, W Hennevogl
    posted to state-space by kohei-h on 2008-07-25 03:57:37 as ** along with 1 person brian
  • A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking
    IEEE Transactions on Signal Processing, Vol. 50, No. 2. (February 2002), pp. 174-188.
  • Penalized likelihood estimation and iterative Kalman smoothing for non--Gaussian dynamic regression models
    (1997)
    posted to state-space by kohei-h on 2008-07-25 03:44:33 as **
  • Mining the Web: Analysis of Hypertext and Semi Structured Data
    (15 August 2002)
    by Soumen Chakrabarti
  • Bayesian Probabilistic Matrix Factorization using Markov chain Monte Carlo
    Vol. 25 (2008)
    by Ruslan Salakhutdinov, Andriy Mnih
    posted to file-import-08-05-14 by kohei-h on 2008-05-14 15:43:03 as **
  • Dynamic social network analysis using latent space models
    SIGKDD Explor. Newsl., Vol. 7, No. 2. (December 2005), pp. 31-40.
    by Purnamrita Sarkar, Andrew W Moore
  • Stochastic Relational Models for Discriminative Link Prediction
    (2007), pp. 1553-1560.
    by Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu
    edited by B Schölkopf, J Platt, T Hoffman
    posted to bibtex-import by kohei-h on 2008-04-10 06:43:19 as **
  • On spectral clustering: Analysis and an algorithm
    (2001)
    by A Ng, M Jordan, Y Weiss
  • A Tutorial on Spectral Clustering
    Statistics and Computing, Vol. 17, No. 4. (1 Nov 2007), pp. 395-416.
    by Ulrike von Luxburg
  • Link Prediction Based on Graph Topology: The Predictive Value of the Generalized Clustering Coefficient
    (2006)
    by Z Huang
    posted to link-prediction by kohei-h on 2008-03-03 04:44:19 as ** along with 1 person iris_2001
  • Exploration of Communication Networks from the Enron Email Corpus
    Proceedings of Workshop on Link Analysis, Counterterrorism and Security, SIAM International Conference on Data Mining 2005 (2005), pp. 3-14.
    by J Diesner, KM Carley
  • Recovering temporally rewiring networks: a model-based approach
    (2007), pp. 321-328.
    by Fan Guo, Steve Hanneke, Wenjie Fu, Eric P Xing
    posted to link-mining by kohei-h on 2008-02-28 08:30:25 as **
  • ネットワーク構造予測
    人工知能学会論文誌, Vol. 22, No. 3. (2007)
    posted to link-mining by kohei-h on 2008-02-28 06:19:09 as ** along with 1 person takeha-e
  • A p* primer: logit models for social networks
    Social Networks, Vol. 21, No. 1. (January 1999), pp. 37-66.
    by Carolyn J Anderson, Stanley Wasserman, Bradley Crouch
    posted to link-mining by kohei-h on 2008-02-28 02:39:02 as ** along with 1 person elsantosneto
  • Multiplicative latent factor models for description and prediction of social networks
    to appear in Computational and Mathematical Organization Theory (2007)
    by PD Hoff
    posted to _survey2 by kohei-h on 2008-01-28 04:54:18 as **
  • Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp
    Psychometrika, Vol. 61, No. 3. (1996), pp. 401-425.
    by Stanley Wasserman, Philippa Pattison
    posted to link-mining _survey2 by kohei-h on 2008-01-28 02:44:08 as ** along with 1 person iris_2001
  • The Web as a Graph: Measurements, Models, and Methods
    Computing and Combinatorics: 5th Annual International Conference, COCOON'99, Tokyo, Japan, July 1999. Proceedings (1999), 1.
    by Jon M Kleinberg, Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, Andrew S Tomkins
    posted to _survey2 by kohei-h on 2008-01-23 09:45:49 as ** along with 3 people theus balicea matteodellamico
  • Scalable modeling of real graphs using Kronecker multiplication
    (2007), pp. 497-504.
    by Jure Leskovec, Christos Faloutsos
    posted to _survey2 by kohei-h on 2008-01-23 08:22:52 as **
  • Exploratory study of a new model for evolving networks
    In proceedings of the ICML Workshop on Statistical Network Analysis (2006)
    by Anna Goldenberg, Alice Zheng
    posted to _survey2 by kohei-h on 2008-01-23 07:03:42 as **
  • The Enron email dataset database schema and brief statistical report
    Information Sciences Institute Technical Report, University of Southern California (2004)
    by J Shetty, J Adibi
    posted to bibtex-import _survey2 by kohei-h on 2008-01-23 06:43:39 as **
  • A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction
    (2006), pp. 340-349.
    by Hisashi Kashima, Naoki Abe
    posted to link-mining link-prediction _survey2 by kohei-h on 2008-01-23 06:37:18 as **
  • Probabilistic Matrix Factorization
    (2008)
    by Ruslan Salakhutdinov, Andriy Mnih
    edited by JC Platt, D Koller, Y Singer, S Roweis
    posted to bibtex-import matrix-factorization by kohei-h on 2007-12-19 16:14:13 as *****
  • COFI RANK-Maximum Margin Matrix Factorization for Collaborative Ranking
    Advances in Neural Information Processing Systems (2007)
    by M Weimer, A Karatzoglou, Q Le, A Smola
    posted to bibtex-import by kohei-h on 2007-12-19 16:00:17 as ***
  • On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
    (2002)
    by A Ng, M Jordan
    posted to crf graph by kohei-h on 2007-12-17 02:55:48 as ** along with 4 people j3xucite ecome iansimon 223rem
  • Introduction to Social Network Methods
    University of California (2001)
    by RA Hanneman
    posted to bibtex-import by kohei-h on 2007-12-14 04:38:33 as **
  • The case for anomalous link discovery
    SIGKDD Explor. Newsl., Vol. 7, No. 2. (December 2005), pp. 41-47.
    by Matthew J Rattigan, David Jensen
    posted to link-mining by kohei-h on 2007-12-14 02:12:27 as ** along with 2 people ldietz bigbossman
  • Generalized Blockmodeling (Structural Analysis in the Social Sciences)
    (2004)
    by Patrick Doreian, Vladimir Batagelj, Anuska Ferligoj, Mark Granovetter
    posted to link-mining by kohei-h on 2007-12-13 23:54:18 as **
  • Link-based Classification
    Technical Report CS-TR-4858 (February 2007)
    by Prithviraj Sen, Lise Getoor
    posted to link-mining by kohei-h on 2007-12-13 12:21:09 as **
  • Prediction and ranking algorithms for event-based network data
    SIGKDD Explor. Newsl., Vol. 7, No. 2. (December 2005), pp. 23-30.
    by Joshua O'Madadhain, Jon Hutchins, Padhraic Smyth
    posted to link-mining by kohei-h on 2007-12-12 06:55:31 as ** along with 3 people eldaly bigbossman iris_2001
  • The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank
    (2002)
    by Mathew Richardson, Pedro Domingos
  • The missing link - a probabilistic model of document content and hypertext connectivity
    (2001)
    by David Cohn, Thomas Hofmann
  • Learning to Probabilistically Identify Authoritative Documents
    (2000), pp. 167-174.
    by David Cohn, Huan Chang
    posted to link-mining by kohei-h on 2007-12-11 13:46:36 as **
  • Link mining: a survey
    SIGKDD Explor. Newsl., Vol. 7, No. 2. (December 2005), pp. 3-12.
    by Lise Getoor, Christopher P Diehl
  • Dimensionality Reduction: Beyond PCA
    posted to bibtex-import by kohei-h on 2007-11-05 05:27:23 as read
  • Generalized Low Rank Approximations of Matrices
    Machine Learning, Vol. 61, No. 1-3. (November 2005), pp. 167-191.
    by Jieping Ye
    posted to pca by kohei-h on 2007-11-05 04:40:16 as **** along with 3 people mukundn yinghua77 robincha
  • Maximum-Margin Matrix Factorization
    Advances in Neural Information Processing Systems, Vol. 17 (2005)
    posted to pca by kohei-h on 2007-11-05 04:28:43 as **
  • Probabilistic visualisation of high-dimensional binary data
    (1999)
    by M Tipping
    posted to pca by kohei-h on 2007-11-04 23:35:35 as **
  • Pattern Recognition and Machine Learning (Information Science and Statistics)
    (28 August 2006)
    by Christopher M Bishop
  • An Introduction to Conditional Random Fields for Relational Learning
    (2006)
    by Charles Sutton, Andrew Mccallum
    edited by Lise Getoor, Ben Taskar
    posted to crf by kohei-h on 2007-11-02 01:56:46 as read along with 1 person vlachmore
  • Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
    (2001), pp. 282-289.
    by John Lafferty, Andrew Mccallum, Fernando Pereira
  • Probabilistic principal component analysis
    Journal of the Royal Statistical Society. Series B, statistical methodology, Vol. 61, No. 3. (1999), pp. 611-622.
    by M Tipping, C Bishop
  • Generalized Linear Models, Second Edition
    (01 August 1989)
    posted to no-tag by kohei-h on 2007-10-16 08:25:24 as ** along with 4 people abbie_riner brian vplagnol dianella
  • Generalized 2 Linear 2 Models
    Vol. 15 (2003)
    by Geoffrey J Gordon
    posted to pca svd by kohei-h on 2007-10-08 04:17:14 as **
  • A generalized linear model for principal component analysis of binary data
    (2003)
    by A Schein, L Saul, L Ungar
    posted to pca by kohei-h on 2007-10-08 04:04:38 as *** along with 1 person archroad
  • A Generalization of Principal Components Analysis to the Exponential Family
    (2002)
    edited by TG Dietterich, S Becker, Z Ghahramani
    posted to pca by kohei-h on 2007-10-08 03:58:22 as read along with 1 person archroad
  • Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
    J. Mach. Learn. Res., Vol. 6 (2005), pp. 1783-1816.
    by Neil Lawrence
    posted to pca by kohei-h on 2007-10-08 03:49:30 as **
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