hcs's library 46 articles Export

	Shrink: A Tool for Failure Diagnosis in IP Networks [My Copy] 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 [My Copy] 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 [My Copy] posted to machine_learning nws by hcs on 2008-02-01 21:20:26 as
	Convex optimization techniques for fitting sparse Gaussian graphical models [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (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 along with 1 person daniel51
	Efficient Belief Propagation for Early Vision [My Copy] 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 6 people abachrac Krom17 ElQuijote42 assad79 przem dlmace
	Fast Memory-Efficient Generalized Belief Propagation [My Copy] by Pawan M. Kumar, P. H. S. Torr posted to belief_propagation inference by hcs on 2007-06-14 16:02:18 as
	Scale-sensitive dimensions, uniform convergence, and learnability [My Copy] 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 [My Copy] In COLT '95: Proceedings of the eighth annual conference on Computational learning theory (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 [My Copy] 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 [My Copy] 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 [My Copy] (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 [My Copy] 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 [My Copy] 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 [My Copy] (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 5 people m8j mahler scis0000001 Scis0000002 sugarexpletive
	Fast Computational Methods for Visually Guided Robots [My Copy] 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 [My Copy] In Proceedings of the Advances in Neural Information Processing Systems 2006 (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 [My Copy] 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 [My Copy] 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 [My Copy] 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 [My Copy] 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 [My Copy] (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. [My Copy] 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 [My Copy] In Proceedings of the 21th Annual Conference on Uncertainty in Artificial Intelligence (UAI-05) (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 [My Copy] 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 [My Copy] In Twelfth Annual International Symposium on Algorithms and Computation, Vol. 2223 (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 [My Copy] In Uncertainty in Artificial Intelligence (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 [My Copy] In Proceedings of the Workshop on Algorithms in Bioinformatics 2005 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 [My Copy] In EEE International Symposium on Information Theory (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 [My Copy] In SODA '01: Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms (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 [My Copy] 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 [My Copy] 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 [My Copy] 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 [My Copy] posted to lp optimization by hcs on 2007-03-08 20:29:40 as
	Mathematical methods for robotics and vision [My Copy] by Carlo Tomassi posted to math svd by hcs on 2007-03-07 18:17:16 as
	Efficient sparse coding algorithms [My Copy] In Neural Information Processing Systems (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 [My Copy] 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 [My Copy] 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 [My Copy] In Proceedings of the 39th Allerton Conference (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 [My Copy] (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 [My Copy] by Yedidia posted to graphical_models inference by hcs on 2007-02-22 01:57:34 as
	Geometric properties of graphs [My Copy] 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 [My Copy] In FOCS '99: Proceedings of the 40th Annual Symposium on Foundations of Computer Science (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 [My Copy] Formal Methods in System Design, Vol. V10, No. 2. (1 April 1997), pp. 149-169. by M. Fujita, P. C. Mcgeer, J. C. Y. 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 [My Copy] In SODA '01: Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms (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 [My Copy] 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 [My Copy] 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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graphical_models	21
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symbolic_encoding	6
belief_propagation	6
spectral_graph_theory	5
math	5
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optimization	3
graph_theory	3
nws	3
structure_learning	3
lp	2
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information_theory	1
survey	1
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game_theory	1

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