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Belief dynamics extraction
[article]
2019
arXiv
pre-print
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with the belief dynamics of the agent. ...
To demonstrate the utility of our approach, we apply it to the observations of a simulated optimal agent performing a foraging task, and find that latent dynamics extracted by the model has correspondences ...
Fig 6c shows states extracted for the action 'stay'. Beliefs precede an action and the extracted states reflect beliefs for the next action. ...
arXiv:1902.00673v1
fatcat:di3rrhiqpjcjvggx5kdr5nhtg4
Belief dynamics extraction
2019
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with the belief dynamics of the agent. ...
To demonstrate the utility of our approach, we apply it to the observations of a simulated optimal agent performing a foraging task, and find that latent dynamics extracted by the model has correspondences ...
Fig 7c shows states extracted for the action 'stay'. Beliefs precede an action and the extracted states reflect beliefs for the next action. ...
pmid:33367289
pmcid:PMC7754614
fatcat:ubo2iovhfbfqnf33dgaomzv7rm
Dynamic Switching Belief Network based on IoT Knowledge Capsule
2016
Indian Journal of Science and Technology
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and data extraction. ...
Methods/Statistical Analysis: In this paper Dynamic Switching Belief Network based on IoT Knowledge Capsule is proposed. ...
and data extraction. ...
doi:10.17485/ijst/2016/v9i35/101759
fatcat:brfebgf6zfhg7jspsdjuxatvzm
Introduction to dynamic belief elicitation
2015
ACM SIGecom Exchanges
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We present a protocol for eliciting dynamic beliefs from forecasters. At time t = 0, forecasters hold beliefs about a random variable of interest that will realize publicly at time t = 1. ...
The information elicited can be used to solve optimally an arbitrary dynamic decision problem. ...
Alternatively, the decision maker may extract beliefs from the agents and then use these beliefs to decide on the best course of action. ...
doi:10.1145/2845926.2845930
fatcat:qde4adws7zhm5oiixkdu6sprhm
A fusion architecture based on TBM for camera motion classification
2007
Image and Vision Computing
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To ensure the temporal coherence of motions, a filtering of belief masses according to TBM is achieved. The second stage carries out a separation between static and dynamic frames. ...
We propose in this paper an original method of camera motion classification based on Transferable Belief Model (TBM). ...
Thus a new BBA is defined and is based on the following rule: if a certain number of frames around the frame studied have a belief on the static hypothesis (respectively dynamic) then a belief mass will ...
doi:10.1016/j.imavis.2007.01.001
fatcat:scau7oyayre4hayp3u3bwus54q
Object tracking based on evidential dynamic occupancy grids in urban environments
2017
2017 IEEE Intelligent Vehicles Symposium (IV)
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This work presents an object tracking approach based on dynamic occupancy grids. ...
New object tracks are extracted using a clustering strategy and a velocity variance analysis of neighboring occupied cells to reduce false positives. ...
or not. 1) Extraction of Dynamic Cells: Only measurement cells of G where the measured dynamic occupancy mass m(D c ) is above a defined minimum threshold m D,min are extracted, i. e., the set {z c |c ...
doi:10.1109/ivs.2017.7995855
dblp:conf/ivs/SteyerTW17
fatcat:qb5aehcypjbz3g7wpo7lfzamqa
Structured Belief Propagation for NLP
2015
Tutorials
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Belief Propagation Basics [40 min., Eisner] • Messages and beliefs • Sum-product, max-product, and deterministic annealing • Relation to forward-backward and insideoutside • Acyclic vs. loopy graphs • ...
Incorporating Structure into Factors and Variables [30 min., Gormley] • Embedding dynamic programs (e.g. inside-outside) within factors • String-valued and tree-valued variables 5. ...
In particular, he and his students introduced structured belief propagation, which integrates classical NLP models and their associated dynamic programming algorithms, as well as loss-calibrated training ...
doi:10.3115/v1/p15-5002
dblp:conf/acl/GormleyE15
fatcat:sfwbq3v7cvdmxctkinv5b4tywe
Public Goods Provision with Rent-Extracting Administrators
2017
Social Science Research Network
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Analysing the dynamic interactions between the contributors and the administrator, we demonstrate that rent-extraction and cooperation shocks trigger short-run adjustments in the agents' behaviour. ...
This explains the long-run resilience of cooperation to rent extraction. ...
Importantly, the form of belief updating by contributors drives the dynamics in our game. ...
doi:10.2139/ssrn.3111920
fatcat:q5d75bqn2bhbtemeqchplgzc5m
Subclinical Paranoid Beliefs and Enhanced Neural Response during Processing of Unattractive Faces
2020
NeuroImage: Clinical
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Using functional magnetic resonance imaging (fMRI), we investigated neural activation patterns of 99 healthy subjects during the passive perception of a dynamic presentation of faces with different attractiveness ...
The results showed that increased activation of limbic brain regions is linked to paranoid beliefs. ...
HRF extraction To visualize the degree of neural response by the parametric modulation of perceived attractiveness, we extracted the HRF. ...
doi:10.1016/j.nicl.2020.102269
pmid:32413810
pmcid:PMC7226880
fatcat:vcol24fhmzhbtd65llqz2sf6ay
Structured Belief Propagation for NLP
2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials
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Belief Propagation Basics [40 min., Eisner] • Messages and beliefs • Sum-product, max-product, and deterministic annealing • Relation to forward-backward and insideoutside • Acyclic vs. loopy graphs • ...
Incorporating Structure into Factors and Variables [30 min., Gormley] • Embedding dynamic programs (e.g. inside-outside) within factors • String-valued and tree-valued variables 5. ...
In particular, he and his students introduced structured belief propagation, which integrates classical NLP models and their associated dynamic programming algorithms, as well as loss-calibrated training ...
doi:10.3115/v1/p14-6006
dblp:conf/acl/GormleyE14
fatcat:y63jbn36vzdb3dcpkclo36dt6e
Android Malware Analysis and Detection Based on Attention-CNN-LSTM
2019
Journal of Computers
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Besides, the above two types of features are merged to enhance the expression capability of texture fingerprint information , and Deep Belief Network is used to screen the above features. ...
For example, TaintDroid, DroidRanger and DroidScope are dynamic analysis method. ...
The current feature extraction method is usually divided into serval types: static analysis [5] , [6] , dynamic analysis [7] , [8] , dynamic and static fused analysis [9] - [11] , the graphs-based ...
doi:10.17706/jcp.14.1.31-43
fatcat:v3q3ukdjsjfe5mj2ee6p7ppk7q
Camera Motion Classification Based On Transferable Belief Model
2006
Zenodo
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Static/dynamic separation The second stage ( fig. 2) consists in separating the static frames from the dynamic frames (zoom, translation) by taking into account the temporal neighborhood of beliefs allocated ...
Thus a new BBA is defined and is based on the following rule: if a certain number of frames around the frame studied have a belief on the static hypothesis (respectively dynamic) then a belief mass will ...
doi:10.5281/zenodo.53275
fatcat:kgp2zptipje5rks56ctcaduyga
Page 241 of JAMA Pediatrics Vol. 50, Issue 1
[page]
1935
JAMA Pediatrics
Preserved Fulltext
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Some have noted an increase in specific dynamic action following the administration of extract of the anterior pituitary gland. ...
No benefit was demonstrated from the doses of cortical extract used
JACOBSEN, Buffalo.
DETERMINATION OF THE SPECIFIC DYNAMIC ACTION OF PROTEIN AND ITS VALUE IN THE DIAGNOSIS OF PITUITARY DISEASE. M. ...
Progressive Attention Memory Network for Movie Story Question Answering
[article]
2019
arXiv
pre-print
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modality fusion that adaptively determines the contribution of each modality for answering the current question, and (3) belief correction answering scheme that successively corrects the prediction score ...
challenges, PAMN involves three main features: (1) progressive attention mechanism that utilizes cues from both question and answer to progressively prune out irrelevant temporal parts in memory, (2) dynamic ...
Combined with progressive attention and dynamic modality fusion, this multi-step reasoning approach of PAMN strengthens the model's ability to extract high-level meaning from the multimodal data. ...
arXiv:1904.08607v1
fatcat:hvl6hinczjhuhid2ynumvhe4wm
Divestment may burst the carbon bubble if investors' beliefs tip to anticipating strong future climate policy
[article]
2019
arXiv
pre-print
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Using a stochastic agent-based model of co-evolving financial market and investors' beliefs about future climate policy on an adaptive social network, here we find that the dynamics of divestment from ...
A common feature of types B-F and a central finding of this study is that the feedback between social dynamics of investors' beliefs on carbon policy and financial market dynamics can lead to the burst ...
Social dynamics of investors: social learning of beliefs about climate policy and homophilic social network adaptation Investors adjust their beliefs about climate policy via social learning through pairwise ...
arXiv:1902.07481v1
fatcat:45rnmklrzfc7zk62k342pdjh7e
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