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Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
 JOURNAL OF MACHINE LEARNING RESEARCH
, 2008
"... We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to solve a maximum likelihood problem with an added ℓ1norm penalty term. The problem as formulated is convex but the memor ..."
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Cited by 334 (2 self)
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We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to solve a maximum likelihood problem with an added ℓ1norm penalty term. The problem as formulated is convex
Mining KnowledgeSharing Sites for Viral Marketing
, 2002
"... Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mining these networks from data, building probabilistic models of them, and using these models to choose the best viral mar ..."
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Cited by 368 (8 self)
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Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mining these networks from data, building probabilistic models of them, and using these models to choose the best viral
Reveal, A General Reverse Engineering Algorithm For Inference Of Genetic Network Architectures
, 1998
"... Given the immanent gene expression mapping covering whole genomes during development, health and disease, we seek computational methods to maximize functional inference from such large data sets. Is it possible, in principle, to completely infer a complex regulatory network architecture from input/o ..."
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Cited by 344 (5 self)
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/output patterns of its variables? We investigated this possibility using binary models of genetic networks. Trajectories, or state transition tables of Boolean nets, resemble time series of gene expression. By systematically analyzing the mutual information between input states and output states, one is able
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2007
"... Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures have attracted growing attention. In this paper, a novel approach for recognizing dynamic textures is proposed and its simplifications and extensions to facial image analysis are also ..."
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Cited by 291 (35 self)
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are also considered. First, the textures are modeled with volume local binary patterns (VLBP), which are an extension of the LBP operator widely used in ordinary texture analysis, combining motion and appearance. To make the approach computationally simple and easy to extend, only the co
Stereo matching using belief propagation
, 2003
"... In this paper, we formulate the stereo matching problem as a Markov network and solve it using Bayesian belief propagation. The stereo Markov network consists of three coupled Markov random fields that model the following: a smooth field for depth/disparity, a line process for depth discontinuity, ..."
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Cited by 350 (4 self)
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In this paper, we formulate the stereo matching problem as a Markov network and solve it using Bayesian belief propagation. The stereo Markov network consists of three coupled Markov random fields that model the following: a smooth field for depth/disparity, a line process for depth discontinuity
On the Use of Correlated Binary Model in Social Network Analysis
"... Abstract—In social network analysis the mean nodal degree and density of the graph can be considered as a measure of the activity of all actors in the network and this is an important property of a graph and for making comparisons among networks. Since subjects in a family or organization are subjec ..."
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are subject to common environment factors, it is prime interest to study the association between responses. Therefore, we study the distribution of the mean nodal degree and density of the graph under correlated binary units. The cross product ratio is used to capture the intraunits association among
Binary Models with Endogenous Explanatory Variables Class Notes
, 2007
"... In Part I we considered linear and nonlinear models with additive errors and endogenous explanatory variables. A simple case was a linear relationship between Y and X and an error U, whereUwas potentially correlated with X but not with an instrument Z: Y = α + βX + U, E (U) =0,E(ZU)=0. (1) ..."
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Cited by 1 (0 self)
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In Part I we considered linear and nonlinear models with additive errors and endogenous explanatory variables. A simple case was a linear relationship between Y and X and an error U, whereUwas potentially correlated with X but not with an instrument Z: Y = α + βX + U, E (U) =0,E(ZU)=0. (1)
A binary model for the UVupturn of elliptical galaxies
, 704
"... A longstanding problem in the study of elliptical galaxies is the farultraviolet (UV) excess in their spectra. Traditionally, elliptical galaxies were supposed to be passively evolving and not contain any young stars that radiate in the farUV. Therefore, the discovery ..."
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A longstanding problem in the study of elliptical galaxies is the farultraviolet (UV) excess in their spectra. Traditionally, elliptical galaxies were supposed to be passively evolving and not contain any young stars that radiate in the farUV. Therefore, the discovery
Disc wind in the HH 30 binary models
, 804
"... The Herbig–Haro object HH 30 is a well–known YSO with a flared circumstellar (CS) disc seen practically edge–on (Burrows et al. 1996; Ray et al. 1996) and highly collimated optical jets propagating perpendicular to the disc, firstly observed ..."
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The Herbig–Haro object HH 30 is a well–known YSO with a flared circumstellar (CS) disc seen practically edge–on (Burrows et al. 1996; Ray et al. 1996) and highly collimated optical jets propagating perpendicular to the disc, firstly observed
Holistic twig joins: optimal XML pattern matching
 in: Proceedings of ACM SIGMOD International Conference on Management of Data, 2002
"... XML employs a treestructured data model, and, naturally, XML queries specify patterns of selection predicates on multiple elements related by a tree structure. Finding all occurrences of such a twig pattern in an XML database is a core operation for XML query processing. Prior work has typically de ..."
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Cited by 344 (8 self)
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XML employs a treestructured data model, and, naturally, XML queries specify patterns of selection predicates on multiple elements related by a tree structure. Finding all occurrences of such a twig pattern in an XML database is a core operation for XML query processing. Prior work has typically
Results 11  20
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16,090