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Probabilistic Distributional Semantics with Latent Variable Models
Distributional Semantics Latent Variable Models
2015/9/14
We describe a probabilistic framework for acquiring selectional preferences of linguistic predicates and for using the acquired representations to model the effects of context on word meaning. Our fra...
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
Multilingual Joint Parsing Syntactic Semantic Latent Variable Model
2015/9/11
Current investigations in data-driven models of parsing have shifted from purely syntactic analysis to richer semantic representations, showing that the successful recovery of the meaning of text requ...
Discussion of “Latent Variable Graphical Model Selection via Convex Optimization”
Latent Variable Graphical Model Selection Convex Optimization
2015/6/17
We wish to congratulate the authors for their innovative contribution, which is bound to inspire much further research. We find latent variable model selection to be a fantastic application of matrix ...
Factors responsible for mortality variation in the United States: A latent variable analysis
factor analysis health behaviors health inequalities mortality obesity risk factors rural/urban residence smoking substance abuse
2014/12/2
Background: Factors including smoking, drinking, substance abuse, obesity, and health care have all been shown to affect health and longevity. The relative importance of each of these factors is dispu...
Factors responsible for mortality variation in the United States: A latent variable analysis
factor analysis health behaviors health inequalities mortality obesity risk factors rural/urban residence smoking substance abuse
2014/11/27
Background: Factors including smoking, drinking, substance abuse, obesity, and health care have all been shown to affect health and longevity. The relative importance of each of these factors is dispu...
Factors responsible for mortality variation in the United States: A latent variable analysis
mortality variation Factors responsible
2014/11/27
Factors including smoking, drinking, substance abuse, obesity, and health care have all
been shown to affect health and longevity. The relative importance of each of these
factors is disputed in t...
Estimation of latent variable models for ordinal data via fully exponential Laplace approximation
GLLVM Bartholomew response pattern parameters latent variable models Laplace
2011/6/17
Latent variable models represent a useful tool in the social sciences where the analyzed
constructs cannot be directly observed and, hence, they are not measurable. However, a set
of indicators rela...
Semiparametric Latent Variable Models for Guided Representation
Variable Models Semiparametric Latent Guided
2011/3/18
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for learning features re...
DE-BIASING WEIGHTED MLE VIA INDIRECT INFERENCE:THE CASE OF GENERALIZED LINEAR LATENT VARIABLE MODELS
factor analysis latent variables M-estimators
2009/2/25
In this paper we study bias-corrections to the weighted MLE (Dupuis and Morgen-
thaler, 2002), a robust estimator simply defined through a weighted score function.
Indeed, although the WMLE is relat...
Learning about a Categorical Latent Variable under Prior Near-Ignorance
Prior near-ignorance latent and manifest variables observational processes vacuous beliefs imprecise probability
2010/4/29
It is well known that complete prior ignorance is not compatible with
learning, at least in a coherent theory of (epistemic) uncertainty. What is less
widely known, is that there is a state similar ...