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Learning from Indirect Observations
[article]
2019
arXiv
pre-print
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While existing work mainly focuses on utilizing a certain type of weak supervision, we present a probabilistic framework, learning from indirect observations, for learning from a wide range of weak supervision ...
Then, maximizing the likelihood given indirect observations leads to an estimator of the true target implicitly. ...
However, it is not the case for learning from indirect observations because Z can not be observed. ...
arXiv:1910.04394v1
fatcat:pygsp4lvnzam3aommhbhrspuo4
Learning Constitutive Relations from Indirect Observations Using Deep Neural Networks
[article]
2020
arXiv
pre-print
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We present a new approach for predictive modeling and its uncertainty quantification for mechanical systems, where coarse-grained models such as constitutive relations are derived directly from observation ...
Numerical examples on a multiscale fiber-reinforced plate problem and a nonlinear rubbery membrane problem from solid mechanics demonstrate the effectiveness of our framework. ...
The learned constitutive relations for these two fiber volume fraction distributions from the observation with load strength p = 20 are These learned constitutive relations C θ1 and C θ2 are averages ...
arXiv:1905.12530v4
fatcat:lapds3rjtjgohetn3bcnskld4e
Structure Learning in Graphical Models from Indirect Observations
[article]
2022
arXiv
pre-print
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Additionally, we obtain a non-asymptotic uniform bound on the estimation error of the CDF of X from indirect observations with inexact knowledge of the noise distribution. ...
Unlike the previous works which observe x directly, we consider the indirect observation scenario in which samples y are collected via a sensing matrix A ∈ R^d× p, and corrupted with some additive noise ...
To the best of our knowledge, our work is the first to consider learning the undirected graphical model structure of a high dimensional signal X from possibly low dimensional indirect observations of X ...
arXiv:2205.03454v1
fatcat:hzrbkdh3zrebxgxk5sedfdwhee
End-to-end differentiable learning of turbulence models from indirect observations
[article]
2021
arXiv
pre-print
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This paper demonstrates the viability of this approach and presents an end-to-end differentiable framework for training deep neural networks to learn eddy viscosity models from indirect observations derived ...
The emerging push of the differentiable programming paradigm in scientific computing is conducive to training deep learning turbulence models using indirect observations. ...
A major obstacle for gradient-based learning from indirect observations is that a RANS solver must be involved in the training and the RANS sensitivites are required to learn the model. ...
arXiv:2104.04821v1
fatcat:vj3wi2nsnfb6fbyb54t6lhylli
End-to-end differentiable learning of turbulence models from indirect observations
2021
Theoretical and Applied Mechanics Letters
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the viability of this approach and presents an end-to-end di_erentiable framework for training deep neural networks to learn eddy viscosity models from indirect observations derived from the velocity ...
This paper demonstrates the viability of this approach and presents an end-to-end differentiable framework for training deep neural networks to learn eddy viscosity models from indirect observations derived ...
This leads to an end-to-end differentiable framework that provides the gradient information needed to learn turbulence models from indirect observations. ...
doi:10.1016/j.taml.2021.100280
fatcat:g6nuqiqfbzgphijev2gusbmu5a
Do chimpanzees learn reputation by observation? Evidence from direct and indirect experience with generous and selfish strangers
2008
Animal Cognition
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Can chimpanzees learn the reputation of strangers indirectly by observation? Or are such stable behavioral attributions made exclusively by Wrst-person interactions? ...
While chimpanzees did not initially prefer to beg for food from the generous donor (Experiment 1), after continued opportunities to observe the same behavioral exchanges, four chimpanzees developed a preference ...
This research was supported in part by a Centennial Fellowship from the James S. McDonnell Foundation to DJP and a Research Award from the James S. McDonnell Foundation to H.S. Terrace, J. ...
doi:10.1007/s10071-008-0151-6
pmid:18357476
fatcat:hfundrcporhy5eyoyoqh7gmyga
The Role of Direct Strategy Instruction and Indirect Activation of Self-Regulated Learning—Evidence from Classroom Observation Studies
2020
Educational Psychology Review
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the application of these strategies successfully into their learning process, and (2) the necessity of complementing classroom observation research with data gathered from student and teacher self-report ...
their learning. ...
from constructivist learning theory: (1) activating prior knowledge & creating cognitive conflict, (2) learning in context, (3) cooperative learning, and (4) self-directed learning. ...
doi:10.1007/s10648-020-09534-0
fatcat:upsyonumuzgnvcaadqlrp62t3y
Learning horizon and optimal alliance formation
2015
Computational and mathematical organization theory
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We compare theoretical optima for a 'close' learning horizon, where a firm learns only from direct alliance partners, and a 'distant' learning horizon, where a firm learns both from direct and indirect ...
We develop a theoretical Bayesian learning model to examine how a firm's learning horizon, defined as the maximum distance in a network of alliances across which the firm learns from other firms, conditions ...
has a close learning horizon if it is unable to learn from indirect partners. ...
doi:10.1007/s10588-015-9203-z
fatcat:kmibjetdp5eezebnigj7uttfja
Learning from Mixed Signals in Online Innovation Communities
2018
Organization science (Providence, R.I.)
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Our data set also contains almost 150 million ratings that reflect signals for learning from observing the completed work of others. We have three key findings. ...
Second, we find that individuals consistently improve their performance from observing others' good examples. ...
The project benefitted from feedback from seminar participants at Harvard Business School, Boston College, Mines Paris Tech, and the University of Massachusetts at Amherst. ...
doi:10.1287/orsc.2018.1219
fatcat:uto5xoasn5cunnsc4p5favxkx4
Social learning in design teams: The importance of direct and indirect communications
2013
Artificial intelligence for engineering design, analysis and manufacturing
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The findings reported in this paper are based on a computational model that simulates the formation of transactive memory (TM) through social learning from direct and indirect communications. ...
observations of the actions of others. ...
Busyness reduces the opportunities for learning from social observation (indirect communication). ...
doi:10.1017/s0890060413000061
fatcat:mrprair365fqhbewpbqcpr2ixm
Vocabulary Acquisition through Direct and Indirect Learning Strategies
2015
English Language Teaching
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Vocabulary learning has long been considered as one of the essential components for developing language learning. ...
Subsequently, the current reserch was an attempt to investigate the effectiveness of implementing direct versus indirect vocabulary learning strategies on vocabulary acquisition of pre-intermediate language ...
According to the observations of the researcher, they requested more assistant from the teacher in order to understand how to use the indirect strategies. ...
doi:10.5539/elt.v8n10p142
fatcat:jsy4yodftbcozmqucczdwbpqva
TEACHER TALK IN TEACHING WRITING INTERACTION OF TECHNICAL ENGINEEERING STUDENTS IN SMK SWASTA TELADAN MEDAN
2019
MEDAN MAKNA: Jurnal Ilmu Kebahasaan dan Kesastraan
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Moreover, this study is conducted on the form of descriptive qualitative research where the researcher as the non-participant observer on the classroom. ...
In this research, the FLINT is used to identify the categories of teacher talk occur during the learning process. ...
Observation
Observation is one of the techniques
of collecting data which is from direct
experience. ...
doi:10.26499/mm.v17i1.2295
fatcat:xawrmxv3zbcmhg5wltngy3rxbi
ANALYSIS OF CLASSROOM INTERACTION USING FLANDER INTERACTION ANALYSIS CATEGORIES SYSTEM (FIACS) IN ENGLISH CLASS-UNKRISWINA SUMBA
2021
JELL (Journal of English Language Learning)
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most of the teaching-learning time was devoted to questions, lectures and praises. ...
Last, indirect and direct ratio (ID) was 166, 67%. ...
from the students. ...
doi:10.31949/jell.v5i2.3486
fatcat:vchhrvcofbgs7eu65iwgqqpjmu
Learning Strategies in Speaking Skill Applied by A Student in Second Grade of SMK Pelita Nusantara Kediri
2016
ENGLISH EDUCATION JOURNAL OF ENGLISH TEACHING AND RESEARCH
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The writer did some observations and interview to get the data. There are two kinds of learning strategies that applied; they are direct strategies and indirect strategies. ...
Direct strategies are language learning strategies that directly involve the target language, and indirect strategies are language learning strategies that support and manage language learning without ...
From the observation and interview , it can concluded that the stiudent used direct strategies and indirect strategies. ...
doi:10.29407/jetar.v1i1.276
fatcat:3sdy3h7cbbe77ijzikdtj5n3uu
Assessment Measures in Game-based Learning Research
2021
International Journal of Serious Games
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Learning is mainly evaluated by direct measures, while indirect measures mostly assess engagement and usability. ...
The use of indirect measures and instruments without psychometric qualities compromises the strength of the evidence for the effectiveness of game-based learning. ...
I = Indirect D = Direct DI = Direct and Indirect UN = Unidentified
Table 1 . 1 Measures used to assess learning (N =91 articles)
Category
N (%)
Instruments
Description
Adapted
from
Test scores ...
doi:10.17083/ijsg.v8i1.383
fatcat:o2u6bvniarcjvi4uark3knvv2q
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