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Sound Probabilistic Inference via Guide Types
[article]
2021
arXiv
pre-print
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For Bayesian inference to be sound, guide programs must be compatible with model programs. ...
Modern languages support programmable inference, which allows users to customize inference algorithms by incorporating guide programs to improve inference performance. ...
Soundness of Inference Algorithms We now describe how guide types can help us reason about inference algorithms. Importance sampling (IS). ...
arXiv:2104.03598v1
fatcat:vpobeqiwhnb5bbvaxpicwzvyle
Personalizing video recorders using multimedia processing and integration
2001
Proceedings of the ninth ACM international conference on Multimedia - MULTIMEDIA '01
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The retrieval module relies on users' personal preferences to deliver both full programs and video segments of interest. ...
We tested retrieval concepts with real users and discovered that they see more value in segmenting non-narrative programs (e.g. news) than narrative programs (e.g. movies). ...
The Bayesian Engine performed a bi-partite inference between financial news and talk shows on these sub-program units. ...
doi:10.1145/500213.500243
fatcat:ggqcor7gg5bw7lo6wtl5rr7wve
Personalizing video recorders using multimedia processing and integration
2001
Proceedings of the ninth ACM international conference on Multimedia - MULTIMEDIA '01
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The file type is application/pdf.
The retrieval module relies on users' personal preferences to deliver both full programs and video segments of interest. ...
We tested retrieval concepts with real users and discovered that they see more value in segmenting non-narrative programs (e.g. news) than narrative programs (e.g. movies). ...
The Bayesian Engine performed a bi-partite inference between financial news and talk shows on these sub-program units. ...
doi:10.1145/500141.500243
fatcat:3pbyufxzujf3njihwjpjsuulcm
Doubly Bayesian Optimization
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1812.04562v3 fatcat:dk3ens2cxnfyxn42qmxxgu2faaOther Versions
Probabilistic programming systems enable users to encode model structure and naturally reason about uncertainties, which can be leveraged towards improved Bayesian optimization (BO) methods. ...
Not only can we utilize programmable structure to incorporate domain knowledge to aid optimization, but dealing with uncertainties and implementing advanced BO techniques become trivial, crucial for use ...
We use the negative log of the EC50 for numerical reasons. ...
arXiv:1812.04562v4
fatcat:jaatj5drsbe5njwpl3fhs7tjeq
The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users
[article]
2013
arXiv
pre-print
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We review work on Bayesian user models that can be employed to infer a users needs by considering a user's background, actions, and queries. ...
Several problems were tackled in Lumiere research, including (1) the construction of Bayesian models for reasoning about the time-varying goals of computer users from their observed actions and queries ...
We discussed our studies with human subjects to elucidate sets of distinctions that are useful for making inferences about a user's goals and needs and our construction of Bayesian user models. ...
arXiv:1301.7385v1
fatcat:h6gtgwgb45aetm43puumcpc7vu
WiseR: An end-to-end structure learning and deployment framework for causal graphical models
[article]
2021
arXiv
pre-print
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We present wiseR, an open source application for learning, evaluating and deploying robust causal graphical models using graph neural networks and Bayesian networks. ...
These can be used both for probabilistic reasoning and causal inference depending upon the study design. ...
An intuitive left-to-right ordering of tabs guides the user into the analysis. ...
arXiv:2108.07046v2
fatcat:e5mnptvy65cd3j7kaa3alamela
A modular design of Bayesian networks using expert knowledge: Context-aware home service robot
2012
Expert systems with applications
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The proposed approach supplements uncertain sensor input using Bayesian network modeling and enhances the efficiency in modeling and reasoning processes using modular design based on domain knowledge. ...
a number of Bayesian networks. ...
Acknowledgements This research was supported by the Original Technology Research Program for Brain Science through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science ...
doi:10.1016/j.eswa.2011.08.118
fatcat:dtqcaan2kffhfjgiddz46ajnkm
Bayesian Cultural Consensus Theory
2014
Field Methods
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In this paper we present a Bayesian inference framework for Cultural Consensus Theory (CCT) models for dichotomous (True/False) response data, and we provide an associated, user friendly software package ...
We believe that the time is ripe for Bayesian statistical inference to become the default choice in the field of CCT. ...
A document that downloads with the software package guides the user step by step through the installation. BCCT uses two accompanying programs that extract automatically. ...
doi:10.1177/1525822x13520280
fatcat:uhtkqat3nfbifgvzzidrqyc35e
WOLFE: An NLP-friendly Declarative Machine Learning Stack
2015
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
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Existing probabilistic program languages (PPLs) only provide partial solutions; most of them do not support commonly used models such as matrix factorization or neural networks, and do not facilitate interactive ...
and iterative programming that is crucial for rapid development of these models. ...
(FCRP) a Semiconductor Research Corporation program sponsored by MARCO and DARPA. ...
doi:10.3115/v1/n15-3013
dblp:conf/naacl/SinghRHNR15
fatcat:uenwiqvy55fotp3xxdt4un6psy
A TV Program Recommender Framework
2013
Procedia Computer Science
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The proposed framework could be used to help designers/developers to build TV program recommender systems/engines for smart TV. ...
In this paper, we focus on TV program recommender systems. ...
They used Bayesian classifier to generate recommendations based on initial user profile and adaptive user profile. ...
doi:10.1016/j.procs.2013.09.136
fatcat:dj2jdwrsjzecjnba4a2zfcb26m
Designing an Internet-based group decision support system
2003
Robotics and Computer-Integrated Manufacturing
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Then, the users can use the decision inference module to derive plausible alternatives while referring to collected and classified information. ...
reasoning model for a certain situation or by a Bayesian network-based reasoning model for a probabilistic situation. ...
This function is implemented on a web base in which ASP is used to build programs to operate the user interface, knowledge acquisition interface and inference engine. ...
doi:10.1016/s0736-5845(02)00063-7
fatcat:ealqhh3uznfp3kg3nsictiqagi
ENTDEx: ENT Diagnosis Expert System Using Bayesian Networks
2014
Journal of Advances in Computer Networks
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This application uses Bayesian Networks in diagnosing the diseases. ...
This kind of innovation gave rise to the researchers in creating ENTDEx: ENT Diagnosis Expert System using Bayesian Networks, a system developed to help ENT patients and non-patients to diagnose common ...
These programs use a collection of facts, rules of thumb, and other knowledge about limited field to help make inferences in the field. ...
doi:10.7763/jacn.2014.v2.108
fatcat:dthhnlcr7fbk5lsjopa75ohes4
Accounting Theory as a Bayesian Discipline
2018
Foundations and Trends® in Accounting
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(Barth, 2006b, p. 95) It could be argued that using information for decision-making -and hence logical (i.e. Bayesian) reasoning -all goes without saying. ...
It is not only the presumed rule of reasoning in analytical models of accounting disclosure but also the default position for empiricists when hypothesizing about how the users of financial statements ...
doi:10.1561/1400000056
fatcat:pxalq27sobcyhcy7qnajpc6ndy
Decreased Business Uncertainty by Using Bayesian Networks for the Paradigm Shift in Business Simulator
2016
Research in Computing Science
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Strategies as the use of Bayesian networks are associated with the behaviors are linked with the variables and scenarios that can be a presenter during the life of the business. ...
He served as the basis for Microsoft Office wizard when the user used the aid, since the inference engine considers the Bayesian network user actions, application events and user profiles. ...
The simulators are mostly computer programs that are using a programming language. ...
doi:10.13053/rcs-122-1-7
fatcat:ht37smifbbeatm426fb32znopm
A Two-Stage Bayesian Network for Effective Development of Conversational Agent
[chapter]
2003
Lecture Notes in Computer Science
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Actually implementing it for a guide of web pages, we can confirm the usefulness of the proposed architecture for conversational agent. ...
Composing Bayesian network as two stages, we aim to design conversational agent easily and analyze user's query in detail. ...
This paper was supported by Biometrics Engineering Research Center, and Brain Science and Engineering Research Program sponsored by Korean Ministry of Science and Technology. ...
doi:10.1007/978-3-540-45080-1_1
fatcat:4hg6sfkqpzcwvgnn7db6cnhwfu
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