The Latent Variable Model (LVM)
A geoadditive Bayesian latent variable model for Poisson indicators
... the latent variables are modelled in simple linear parametric form, see Skrondal and Rabe-Hesketh (2004) for a recent comprehensive ...MIMIC model of J¨oreskog and Goldberger ...the latent variables ...
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A dynamic latent variable model for source separation
... novel latent variable model for learning latent bases for time-varying non-negative ...Our model uses a mixture multino- mial as the likelihood function and proposes a Dirichlet ...
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A Discriminative Latent Variable Model for Statistical Machine Translation
... our latent variable model and optimise the probability of all derivations of the reference translation, or choose a single derivation that yields the reference and optimise its probability ...our ...
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People Tracking with the Laplacian Eigenmaps Latent Variable Model
... Eigenmaps Latent Variable Model ...tion model that combines the advantages of latent variable models—a multimodal probability density for latent and observed variables, ...
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A Shift-Invariant Latent Variable Model for Automatic Music Transcription
... convolutive latent variable model for polyphonic music transcription, which extends the shift-invariant probabilistic latent com- ponent analysis ...proposed model can support multiple ...
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A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies
... history-based model to predict the most likely derivation of a synchronous dependency parser for both syntactic and semantic ...probabilistic model is based on Incremental Sig- moid Belief Networks (ISBNs), ...
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Evaluating Contextual Dependency of Paraphrases using a Latent Variable Model
... a latent variable model for paraphrases with their con- ...a latent vari- able of the model as a topic and that the likelihood of each variable can be ...
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Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
... history-based model to predict the most likely derivation of a dependency parser for both syntactic and semantic dependencies, in multiple ...joint model of these synchronized derivations, we make use of a ...
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Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
... history-based model to predict the most likely derivation of a dependency parser for both syntactic and semantic dependencies, in multiple ...joint model of these synchronized derivations, we make use of a ...
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A Latent Variable Model of Synchronous Syntactic Semantic Parsing for Multiple Languages
... exploited latent variables to avoid the costly process of hand-crafted feature engineering, allowing the latent variables to induce features from the ...ative latent variable model of ...
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A Latent Variable Model for Viewpoint Discovery from Threaded Forum Posts
... 5.4 User interaction network To gain some direct insight into our results, we show the user interaction network from one thread in Fig- ure 6. Here each node denotes a user, and its color denotes the predicted viewpoint ...
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Historical Analysis of Legal Opinions with a Sparse Mixed Effects Latent Variable Model
... a latent variable model to enhance historical analysis of large ...mixed-effects model im- proves on other state-of-the-art generative and discriminative models on the region and time period ...
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Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection
... multi-conditional latent variable model for simultaneous facial feature fusion and detec- tion of facial action ...The model learning is per- formed via an efficient, newly proposed Bayesian ...
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A Latent Variable Model for Geographic Lexical Variation
... 1 Introduction Sociolinguistics and dialectology study how lan- guage varies across social and regional contexts. Quantitative research in these fields generally pro- ceeds by counting the frequency of a handful of ...
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A Latent Variable Model for Generative Dependency Parsing
... ISBN model can automatically discover ...(TF-NA) model. The TF- NA model, like the MALT parser, is biased toward attachment to root; it attaches to root ...TF-NA model is also negatively ...
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Latent Variable Model for Multi modal Translation
... to model the interaction between visual and textual features through a latent ...This latent vari- able can be seen as a stochastic embedding which is used in the target-language decoder, as well as ...
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A Constrained Latent Variable Model for Coreference Resolution
... a model w on binary training data generated by tak- ing for each mention, the closest antecedent corefer- ent mention as a positive example, and all the other mentions as negative ...best-left-link model as ...
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A Hierarchical Latent Variable Model for Data Visualization
... Abstract—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projection from the data space down to a ...
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A gaussian process latent variable model for BRDF inference
... Application 2 - Flash-based photography. As a final experiment, we measured the BRDF of a real object with complex geometry. Fig. 7 shows a Buddha statue, the shape of which is extracted using Structure-from-Motion. ...
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A biological, latent variable model of health (EarlyBird 68)
... The factor analytic evidence indicates that multiple biomarkers covary along a primary dimension, a dimension we have labelled h. These biomarkers are also indicators of disease risk across a range of different diseases. ...
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