The Latent Factor Model
Deep latent factor model for collaborative filtering
... although it has never been used for collaborative filtering, it surpasses standard matrix factorization for other tasks. We have finally compared with the hierarchical latent factor model (HLFM) ...
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A Latent Factor Model for Board Recommendations in Pinterest
... new latent factor model for generating Pinterest board ...a latent factor model which factorizes the sparse matrix to give ratings for unrated user-board pairs and the top rated ...
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A discrete latent factor model of smoking, cancer and mortality
... The latent class model appears to separate out some groups of individuals who are highly likely to develop some form of cancer due to unobserved factors, and others of those highly unlikely to do ...
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A latent factor model for highly multi-relational data
... Our model is based on a bilinear structure, which captures var- ious orders of interaction of the data, and also shares sparse latent factors across different ...our model to learn efficient and ...
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Improving Cross-domain Recommendation through Probabilistic Cluster-level Latent Factor Model Extended Version
... Cluster-level Latent Factor (PCLF) model to enhance the cross-domain recommendation, which can learn the com- mon rating pattern shared across domains with the flexibility of controlling the optimal ...
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Generalized Latent Factor Models for Social Network Analysis
... on latent variable models [Bartholomew and Knott, 1999] which have been successfully applied to model social networks [Hoff, 2008; Nowicki and Snijders, 2001; Hoff et ...the latent class model ...
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Multi-view Latent Factor Models for Recommender Systems
... novel model named convolutional adversarial latent factor model (CALF), which uses adversarial training in generative and discriminative models for implicit feedback rec- ...to model ...
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Performance of Bayesian Latent Factor Models in Measuring Pricing Errors
... We model monthly industry portfolio returns, first with a static Bayesian latent factor model, then with a dynamic Bayesian factor model and lastly with a dynamic model ...
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Latent factor modelling of disability
... two-latent factor structural model to estimate equiva- lence scales for ...a latent construct which is measured imperfectly by a vector of survey indicators and is influenced by ob- served ...
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A latent model for collaborative filtering
... item-centered factor analysis model, results were best for small number of factors, and with q = 1 marginally better than q = 2 ...proposed model, where | M i| = 2 is ...the latent variables ...
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Latent Factor Models for Credit Scoring in P2P Systems
... In the literature there has been an extensive discussion on when it is appropriate to use an imputation function rather than following the complete case approach. In most cases, the choice depends on two main elements: ...
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Latent Factor Models for Credit Scoring in P2P Systems
... In the literature there has been an extensive discussion on when it is appropriate to use an imputation function rather than following the complete case approach. In most cases, the choice depends on two main elements: ...
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Model-based analysis of latent factors
... as model-based analyses of latent ...input–output model system in which the inputs are provided as latent model parameters and the output is specified by the ...of model ...
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Non-parametric Bayesian Latent Factor Models for Network Reconstruction
... statistical model for discrete-time networks is presented. The proposed model represents each node by a nonnegative node-community memberships vector that enables us to capture the underlying overlapping ...
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Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
... a latent factor Gaus- sian process model which addresses these challenges by learning a parsimonious representation of connectivity ...proposed model naturally allows for inference and ...
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An Independent Dynamic Latent Factor Approach to Yield Curve Modeling
... All three-factor models fit the yield curve well and produce good forecasts. ICAYM and PCAYM forecast short-term yields with a long forecast horizon significantly better than DNSM, across most forecast horizons. ...
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Re-evaluation of the latent structure of common childhood disorders: is there a general psychopathology factor (P-factor)?
... bi-factor model with the internal- izing and externalizing disorders showed good fit and was the optimum ...group factor for adolescents, (ii) a moderately strong internalizing group factor, ...
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Impact of prevention in a tuberculosis model with latent delay
... the factor is considered of the incidence rate, and we use βI/( + aS + bI + cE + dR) representing the effective contact rate between susceptible and infected ...the latent delay factor. The ...
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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 class model with application to speaker diarization
... The two algorithms are almost the same in the second step. However, in step 1, the calculation of Q is more accu- rate by introducing the PLDA or SVM. In recent speaker recognition evaluations (e.g., NIST SREs), the ...
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