Results 11 to 20 of about 427,574 (89)
Psychological evidence suggests that people’s learning behavior is often prone to a “myside bias”or “irrational belief persistence”in contrast to learning behavior exclusively based on objective data.
Ludwig, Alexander, Zimper, Alexander
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Occam factors and model-independent Bayesian learning of continuous distributions
, 2002 Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its efficacy, and show that the data and the phase space factors arising from the ...
Bialek, William, Nemenman, Ilya
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Online Spatial Concept and Lexical Acquisition with Simultaneous Localization and Mapping
, 2017 In this paper, we propose an online learning algorithm based on a Rao-Blackwellized particle filter for spatial concept acquisition and mapping. We have proposed a nonparametric Bayesian spatial concept acquisition model (SpCoA).
Hagiwara, Yoshinobu +3 more
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Weight Priors for Learning Identity Relations [PDF]
, 2019 Learning abstract and systematic relations has been an open issue in neural network learning for over 30 years. It has been shown recently that neural networks do not learn relations based on identity and are unable to generalize well to unseen data. The
Kopparti, R. M., Weyde, T.
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Bayesian Learning of Sum-Product Networks
, 2019 Sum-product networks (SPNs) are flexible density estimators and have received significant attention due to their attractive inference properties. While parameter learning in SPNs is well developed, structure learning leaves something to be desired: Even ...
Ge, Hong +4 more
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On attitude polarization under Bayesian learning with non-additive beliefs [PDF]
Ample psychological evidence suggests that people’s learning behavior is often prone to a "myside bias" or "irrational belief persistence" in contrast to learning behavior exclusively based on objective data.
Alexander Ludwig, Alexander Zimper
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A Parsimonious Model of Subjective Life Expectancy [PDF]
This paper develops a theoretical model for the formation of subjective beliefs on individual survival expectations. Data from the Health and Retirement Study (HRS) indicate that, on average, young respondents underestimate their true survival ...
Ludwig, Alexander, Zimper, Alexander
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Learning Under Ambiguity [PDF]
This paper considers learning when the distinction between risk and ambiguity matters. It first describes thought experiments, dynamic variants of those provided by Ellsberg, that highlight a sense in which the Bayesian learning model is extreme - it ...
Larry Epstein, Martin Schneider
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A Bayesian DSGE Model with Infinite-Horizon Learning: Do "Mechanical" Sources of Persistence Become Superfluous? [PDF]
This paper estimates a monetary DSGE model with learning introduced from the primitive assumptions. The model nests infinite-horizon learning and features, such as habit formation in consumption and inflation indexation, that are essential for the model ...
Fabio Milani
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Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]
PLoS OneFulton L, Lyu P.
europepmc +1 more source