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deysandeep library [35 articles]

Статьи, недавно добавленные в библиотеку deysandeep .
  • Using Machine Learning Techniques to Combine Forecasting Methods
    by Ricardo Prudencio, Teresa Ludermir
    posted to poisson models combination by deysandeep on 2008-07-14 19:37:07 as **
  • A comparison of document clustering techniques
    (2000)
    posted to no-tag by deysandeep on 2008-07-11 01:16:32 as ** along with 1 person koles
  • Social networks, incentives, and search
    (2006), pp. 210-211.
    by Jon Kleinberg
  • The Small-World Phenomenon: An Algorithmic Perspective
    (# 2000)
    by Jon Kleinberg
  • Patterns of influence in a recommendation network
    (2005)
  • Influential Nodes in a Diffusion Model for Social Networks
    Automata, Languages and Programming (2005), pp. 1127-1138.
    by David Kempe, Jon Kleinberg, Éva Tardos
    posted to analysis network social by deysandeep on 2007-10-04 11:03:44 as ** along with 2 people ldietz krisl
  • Group Formation in Large Social Networks: Membership, Growth, and Evolution
    by Lars Backstrom, Dan Huttenlocher, Jon Kleinberg, Et
  • Maximizing the spread of influence through a social network
    (2003)
  • Inferring Web Communities from Link Topology
    (1998), pp. 225-234.
    by David Gibson, Jon M Kleinberg, Prabhakar Raghavan
  • The link prediction problem for social networks
    (2003), pp. 556-559.
    by David Liben-Nowell, Jon Kleinberg
  • Navigation in a small world
    Nature, Vol. 406, No. 6798. (24 August 2000)
    by JM Kleinberg
  • Graph evolution: Densification and shrinking diameters
    ACM Trans. Knowl. Discov. Data, Vol. 1, No. 1. (March 2007)
    by Jure Leskovec, Jon Kleinberg, Christos Faloutsos
  • Hubs, authorities, and communities
    ACM Comput. Surv., Vol. 31, No. 4es. (1999)
    by Jon M Kleinberg
  • Group formation in large social networks: membership, growth, and evolution
    (2006), pp. 44-54.
    by Lars Backstrom, Dan Huttenlocher, Jon Kleinberg, Xiangyang Lan
  • Query Incentive Networks
    by Jon K Prabhakar
    posted to analysis network social by deysandeep on 2007-09-27 15:52:03 as **
  • Scaling regression inputs by dividing by two standard deviations
    by Andrew Gelman
    posted to regression statistics by deysandeep on 2007-08-29 15:05:51 as **
  • Bayesian Measures of Explained Variance and Pooling in Multilevel (Hierarchical) Models
    posted to bayesian models network statistics by deysandeep on 2007-08-29 15:04:58 as **
  • What are cross-validation and bootstrapping?
    posted to learning machine by deysandeep on 2007-06-26 16:54:34 as ** along with 1 person maryee
  • Machine Learning, Neural and Statistical Classification
    edited by Michie
    posted to learning machine networks neural by deysandeep on 2007-06-26 16:52:49 as **
  • THE MATHEMATICS OF GAMBLING
    by Edward Thorp
    posted to gambling mathematics probability by deysandeep on 2007-06-26 16:51:35 as **
  • Coding for Errors and Erasures in Random Network Coding
    (13 Mar 2007)
    by Ralf Koetter, Frank Kschischang
    posted to coding cs network by deysandeep on 2007-06-26 16:49:20 as ** along with 1 person morriswang
  • Edges and Switches, Tunnels and Bridges
    (3 May 2007)
    by David Eppstein, Marc van Kreveld, Elena Mumford, Bettina Speckmann
    posted to graphs by deysandeep on 2007-05-06 20:12:51 as **
  • On Verifying and Engineering the Well-gradedness of a Union-closed Family
    (23 Apr 2007)
    by David Eppstein, Jean-Claude Falmagne, Hasan Uzun
    posted to computer science by deysandeep on 2007-04-28 17:00:23 as **
  • Space-Efficient Straggler Identification in Round-Trip Data Streams via Newton's Identities and Invertible Bloom Filters
    (25 Apr 2007)
    by David Eppstein, Michael T Goodrich
    posted to computer science by deysandeep on 2007-04-28 16:59:05 as ***
  • Graph Theory
    by Reinhard Diestel
    posted to graph theory by deysandeep on 2007-04-17 05:49:20 as ***
  • notes On Numbers and Games
    (01 December 2000)
    by John H Conway
    posted to combinatorial game theory by deysandeep on 2007-04-13 00:50:02 as ***** along with 2 people NitinCR Fin
  • Functional Programming and Graph Algorithms
    (1996)
    by D King
  • Amazon.com: Introduction to Mathematical Statistics (5th Edition): Books: Robert V. Hogg,Allen Craig
    posted to mathematical statistics by deysandeep on 2007-04-11 02:31:01 as **
  • Geometric Algebra (Wiley Classics Library)
    (30 April 1988)
    by E Artin
    posted to algebra geometry by deysandeep on 2007-04-10 22:29:46 as ** along with 1 person NitinCR
  • Functional Analysis
    (01 January 1991)
    by Walter Rudin
    posted to analysis functional by deysandeep on 2007-04-10 22:29:30 as **
  • Modern Geometry - Methods and Applications: Part I: The Geometry of Surfaces, Transformation Groups, and Fields (Graduate Texts in Mathematics)
    (11 November 1991)
    by BA Dubrovin, AT Fomenko, SP Novikov
    posted to algebra geometry by deysandeep on 2007-04-10 22:29:03 as **
  • Mathematical Methods of Classical Mechanics (Graduate Texts in Mathematics)
    (05 September 1997)
    by VI Arnold
  • The Elements of Statistical Learning
    (09 August 2001)
  • Random Walks on Weighted Graphs and Applications to On-line Algorithms
    Journal of the ACM, Vol. 40, No. 3. (1993), pp. 421-453.
    by Don Coppersmith, Peter Doyle, Prabhakar Raghavan, Marc Snir
    posted to algorithms graphs on-line random walks weighted by deysandeep on 2007-04-10 05:48:40 as **
  • Technical Note on Cooperative Game Theory: Characteristic Functions, Allocations, Marginal Contribution
    posted to cooperative game theory by deysandeep on 2007-04-10 05:39:55 as **
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