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hcs library [47 articles]

最近 hcs さんのライブラリ .
  • Shrink: A Tool for Failure Diagnosis in IP Networks
    by Srikanth Kandula, Dina Katabi, Jean P Vasseur
    posted to machine_learning nws by hcs on 2008-02-01 21:54:04 as **
  • Structure from Failure
    by Ralf
    posted to machine_learning nws by hcs on 2008-02-01 21:27:30 as **
  • Gray’s Anatomy: Dissecting Scanning Activities Using IP Gray Space Analysis
    posted to machine_learning nws by hcs on 2008-02-01 21:20:26 as **
  • Convex optimization techniques for fitting sparse Gaussian graphical models
    (2006), pp. 89-96.
    by Onureena Banerjee, Laurent E Ghaoui, Alexandre D'aspremont, Georges Natsoulis
    posted to graphical_models machine_learning math optimization structure_learning by hcs on 2007-11-15 05:57:15 as **
  • Efficient Belief Propagation for Early Vision
    International Journal of Computer Vision, Vol. 70, No. 1. (October 2006), pp. 41-54.
    by Felzenszwalb, Pedro, Huttenlocher, Daniel
    posted to belief_propagation graphical_models inference by hcs on 2007-06-14 16:03:06 as ** along with 1 person dlmace
  • Fast Memory-Efficient Generalized Belief Propagation
    by Pawan M Kumar, PHS Torr
    posted to belief_propagation inference by hcs on 2007-06-14 16:02:18 as **
  • Scale-sensitive dimensions, uniform convergence, and learnability
    Journal of the ACM, Vol. 44, No. 4. (1997), pp. 615-631.
    by Noga Alon, Shai B David, Nicolò C Bianchi, David Haussler
    posted to learning_theory math by hcs on 2007-05-08 23:09:51 as **
  • More theorems about scale-sensitive dimensions and learning
    (1995), pp. 392-401.
    by Peter L Bartlett, Philip M Long
    posted to learning_theory math by hcs on 2007-05-08 23:08:57 as **
  • An elementary proof of the Johnson-Lindenstrauss Lemma
    No. TR-99-006. (1999)
    by Sanjoy Dasgupta, Anupam Gupta
    posted to learning_theory math by hcs on 2007-05-06 20:02:03 as ** along with 2 people sugarexpletive zouzias
  • Program verification as probabilistic inference
    SIGPLAN Not., Vol. 42, No. 1. (January 2007), pp. 277-289.
    by Sumit Gulwani, Nebojsa Jojic
    posted to graphical_models inference model_checking symbolic_encoding by hcs on 2007-05-06 19:20:43 as **
  • Semi-Supervised Learning -- A Statistical Physics Approach
    (5 Apr 2006)
    by Gad Getz, Noam Shental, Eytan Domany
    posted to free_energy graphical_models machine_learning semi_supervised_learning spectral_graph_theory by hcs on 2007-04-08 18:50:26 as ** along with 1 person proportional
  • Graph based semi supervised learning and spectral design
    by Tong Zhang, Rie Ando
    posted to kernels learning_theory machine_learning semi_supervised_learning spectral_graph_theory by hcs on 2007-04-08 18:48:30 as **
  • Learning Bounds for Kernel Regression Using Effective Data Dimensionality
    Neural Comput., Vol. 17, No. 9. (September 2005), pp. 2077-2098.
    by Tong Zhang
    posted to kernels learning_theory machine_learning semi_supervised_learning spectral_graph_theory by hcs on 2007-04-08 18:31:35 as ** along with 1 person davidr
  • A kernel view of the dimensionality reduction of manifolds
    (2004)
    by J Ham, D Lee, S Mika, B Scholkopf
    posted to learning_theory machine_learning semi_supervised_learning by hcs on 2007-04-08 18:28:10 as ** along with 3 people sugarexpletive scis0000001 Scis0000002
  • Fast Computational Methods for Visually Guided Robots
    Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on (2005), pp. 138-143.
    by M Mahdaviani, N de Freitas, B Fraser, F Hamze
    posted to semi_supervised_learning by hcs on 2007-03-31 21:47:29 as **
  • On the relation between low density separation, spectral clustering and graph cuts
    (2006)
    by Hariharan Narayanan, Mikhail Belkin, Partha Niyogi
    posted to learning_theory machine_learning semi_supervised_learning spectral_graph_theory structure_learning by hcs on 2007-03-31 21:37:52 as **
  • Semi-supervised learning literature survey
    by Jerry X Zhu
    posted to machine_learning semi_supervised_learning survey by hcs on 2007-03-31 19:23:22 as **
  • On the Shannon capacity of a graph
    Information Theory, IEEE Transactions on, Vol. 25, No. 1. (1979), pp. 1-7.
    by L Lovasz
    posted to graph_theory information_theory learning_theory machine_learning by hcs on 2007-03-28 20:02:48 as **
  • Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets
    Journal of Artificial Intelligence Research, Vol. 8 (1998), pp. 67-91.
    by Andrew W Moore, Mary S Lee
    posted to graphical_models inference machine_learning symbolic_encoding by hcs on 2007-03-27 20:54:58 as **
  • On the Mathematical Foundations of Learning
    Bulletin of the American Mathematical Society, Vol. 39 (2002), pp. 1-49.
    by F Cucker, S Smale
    posted to learning_theory machine_learning by hcs on 2007-03-27 20:25:03 as **
  • Manifold Regularization : A Geometric Framework for Learning From Examples
    (2004)
    by M Belkin, P Niyogi, V Sindhwani
    posted to learning_theory machine_learning semi_supervised_learning by hcs on 2007-03-27 20:16:50 as ** along with 1 person scis0000001
  • Graphical models, exponential families, and variational inference.
    by Martin Wainwright
    posted to belief_propagation free_energy graphical_models inference by hcs on 2007-03-20 00:18:51 as ** along with 3 people mshafiei bayes jvangael
  • Structured Region Graphs: Morphing EP into GBP
    (2005), pp. 609-616.
    by Max Welling, Thomas Minka, Yee W Teh
    posted to belief_propagation graphical_models inference by hcs on 2007-03-19 23:46:13 as **
  • Towards unbiased end-to-end network diagnosis
    SIGCOMM Comput. Commun. Rev., Vol. 36, No. 4. (October 2006), pp. 219-230.
    by Yao Zhao, Yan Chen, David Bindel
    posted to networks by hcs on 2007-03-19 18:26:45 as **
  • A Combinatorial Toolbox for Protein Sequence Design and Landscape Analysis in the Grand Canonical Model
    Vol. 2223 (JanuarySeptember--FebruaryJanuary~December 2001), pp. 403-415.
    by James Aspnes, Julia Hartling, Ming Y Kao, Junhyong Kim, Gauri Shah
    edited by Peter Eades, Tadao Takaoka
    posted to approximation_algorithms graph_theory optimization by hcs on 2007-03-16 23:59:02 as **
  • A differential approach to inference in bayesian networks
    (2000)
    by A Darwiche
    posted to belief_propagation graphical_models inference symbolic_encoding by hcs on 2007-03-16 18:33:49 as **
  • Rotamer-pair Energy Calculations using a Trie Data Structure
    by Andrew Leaver-Fay, Brian Kuhlman, Jack Snoeyink
    posted to symbolic_encoding by hcs on 2007-03-15 04:57:18 as **
  • Maximum Weight Matching via Max-Product Belief Propagation
    (September 2005), pp. 1763-1767.
    by Mohsen Bayati, Devavrat Shah, Mayank Sharma
    posted to belief_propagation free_energy graphical_models inference by hcs on 2007-03-10 23:00:49 as **
  • Approximation algorithms for the metric labeling problem via a new linear programming formulation
    (2001), pp. 109-118.
    by Chandra Chekuri, Sanjeev Khanna, Joseph Naor, Leonid Zosin
    posted to approximation_algorithms graphical_models inference by hcs on 2007-03-10 22:08:27 as **
  • On the optimality of tree reweighted max product message passing
    No. 2005.
    by V Kolmogorov, M Wainwright
    posted to free_energy graphical_models inference by hcs on 2007-03-10 21:26:05 as **
  • Convergent Tree-Reweighted Message Passing for Energy Minimization
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 28, No. 10. (October 2006), pp. 1568-1583.
    by Vladimir Kolmogorov
    posted to free_energy graphical_models inference by hcs on 2007-03-10 21:21:31 as ** along with 1 person iris_2001
  • Estimation and Marginalization Using the Kikuchi Approximation Methods
    Neural Computation, Vol. 17, No. 8. (August 2005), pp. 1836-1873.
    by Payam Pakzad, Venkat Anantharam
    posted to inference machine_learning free_energy graphical_models by hcs on 2007-03-10 21:04:41 as **
  • An introduction to submodular functions and optimization
    posted to lp optimization by hcs on 2007-03-08 20:29:40 as **
  • Mathematical methods for robotics and vision
    by Carlo Tomassi
    posted to math svd by hcs on 2007-03-07 18:17:16 as **
  • Efficient sparse coding algorithms
    (2006)
    by Honglak Lee, Alexis Battle, Rajat Raina, Andrew Y Ng
    posted to machine_learning by hcs on 2007-03-07 18:10:06 as **
  • Stochastic reasoning, free energy and information geometry
    by Ikeda Shiro, Tanaka Toshiyuki, Amari Shun-Ichi
    posted to free_energy graphical_models inference information_geometry by hcs on 2007-03-07 02:46:33 as **
  • On entropy decomposition and new bounds on the partition function
    Proceedings of International Symposium on Information Theory, 2005. ISIT 2005. (September 2005), pp. 1578-1582.
    by M Molkaraie, P Pakzad
    posted to free_energy graphical_models inference by hcs on 2007-03-07 01:52:27 as ** along with 1 person soundray
  • The Generalized distributive law and free energy minimization
    (2001)
    by Srinivas M Aji, Robert J Mceliece
    posted to free_energy graphical_models inference by hcs on 2007-03-07 01:46:39 as ** along with 1 person pcarbo
  • Playing large games using simple strategies
    (2003)
    by R Lipton, E Markakis, A Mehta
    posted to game_theory learning_theory by hcs on 2007-03-05 01:12:38 as ** along with 1 person and 4 groups euclid Algorithms metric_embeddings TCS Polytopes
  • MERL – TR2000-027 – An Idiosyncratic Journey Beyond Mean Field Theory
    by Yedidia
    posted to graphical_models inference by hcs on 2007-02-22 01:57:34 as **
  • Geometric properties of graphs
    by Laszlo Lovasz
    posted to graph_theory spectral_graph_theory by hcs on 2007-02-21 16:13:59 as ****
  • Approximation Algorithms for Classification Problems with Pairwise Relationships: Metric Labeling and Markov Random Fields
    (1999)
    by Jon Kleinberg, Eva Tardos
    posted to approximation_algorithms graphical_models by hcs on 2007-02-20 18:06:11 as ** along with 1 person iris_2001
  • Multi-Terminal Binary Decision Diagrams: An Efficient Data Structure for Matrix Representation
    Formal Methods in System Design, Vol. V10, No. 2. (1 April 1997), pp. 149-169.
    by M Fujita, PC Mcgeer, JCY Yang
    posted to symbolic_encoding by hcs on 2007-02-19 23:50:17 as **
  • Approximation algorithms for the metric labeling problem via a new linear programming formulation
    (2001), pp. 109-118.
    by Chandra Chekuri, Sanjeev Khanna, Joseph Naor, Leonid Zosin
    posted to approximation_algorithms graphical_models lp by hcs on 2007-02-19 15:32:01 as **
  • Learning Bayesian Networks with Local Structure
    pp. 252-262.
    by Nir Friedman, Moises Goldszmidt
    posted to structure_learning graphical_models by hcs on 2007-02-03 23:45:38 as ** along with 1 person wnpx
  • Recursive Conditioning Any-space conditioning method with treewidth-bounded complexity
    Artificial Intelligence Journal, Vol. 126 (2001), pp. 5-41.
    by Adnan Darwiche
    posted to symbolic_encoding graphical_models by hcs on 2007-02-03 23:43:43 as **
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