On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
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[1] Mohammad Maqusi,et al. Walsh Series Expansions of Probability Distributions , 1981, IEEE Transactions on Electromagnetic Compatibility.
[2] Jason Weston,et al. Kernel methods for Multi-labelled classification and Categ orical regression problems , 2001, NIPS 2001.
[3] Kenneth Y. Goldberg,et al. Eigentaste: A Constant Time Collaborative Filtering Algorithm , 2001, Information Retrieval.
[4] Xiaojin Zhu,et al. Learning Higher-Order Graph Structure with Features by Structure Penalty , 2011, NIPS.
[5] Larry Wasserman,et al. All of Statistics , 2004 .
[6] Stephen E. Fienberg,et al. Discrete Multivariate Analysis: Theory and Practice , 1976 .
[7] K. Sachs,et al. Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data , 2005, Science.
[8] S. Fienberg,et al. DESCRIBING DISABILITY THROUGH INDIVIDUAL-LEVEL MIXTURE MODELS FOR MULTIVARIATE BINARY DATA. , 2007, The annals of applied statistics.
[9] Daphne Koller,et al. Efficient Structure Learning of Markov Networks using L1-Regularization , 2006, NIPS.
[10] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[11] Michael I. Jordan. Graphical Models , 1998 .
[12] D. Edwards,et al. A fast procedure for model search in multidimensional contingency tables , 1985 .
[13] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[14] Masashi Kato,et al. A haplotype inference method based on sparsely connected multi-body ising model , 2010 .
[15] H. Andrews,et al. Hadamard transform image coding , 1969 .
[16] Mark W. Schmidt,et al. Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials , 2010, AISTATS.
[17] Pieter Abbeel,et al. Learning Factor Graphs in Polynomial Time and Sample Complexity , 2006, J. Mach. Learn. Res..
[18] Ali Jalali,et al. On Learning Discrete Graphical Models using Group-Sparse Regularization , 2011, AISTATS.
[19] J. Lafferty,et al. High-dimensional Ising model selection using ℓ1-regularized logistic regression , 2010, 1010.0311.
[20] Daniel N. Rockmore,et al. Some applications of generalized FFT's , 1997, Groups and Computation.
[21] Peter Bühlmann,et al. Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries , 2007, BMC Bioinformatics.