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Learning from multiple sources of inaccurate data [chapter]

Ganesh Baliga, Sanjay Jain, Arun Sharma
1992 Lecture Notes in Computer Science  
The present paper argues in favor of a more realistic learning model in which data emanates from multiple sources, some or all of which may be inaccurate.  ...  , learning from multiple texts, some of which may be inaccurate, is equivalent to learning from a single inaccurate text.  ...  We would also like to thank Andrea Lobo for careful reading of an earlier draft of the paper.  ... 
doi:10.1007/3-540-56004-1_8 fatcat:xqbo5ahfrbegzjvsx6rmlzh5qe

Learning from Multiple Sources of Inaccurate Data

Ganesh Baliga, Sanjay Jain, Arun Sharma
1997 SIAM journal on computing (Print)  
The present paper argues in favor of a more realistic learning model in which data emanates from multiple sources, some or all of which may be inaccurate.  ...  , learning from multiple texts, some of which may be inaccurate, is equivalent to learning from a single inaccurate text.  ...  We would also like to thank Andrea Lobo for careful reading of an earlier draft of the paper.  ... 
doi:10.1137/s0097539792239461 fatcat:yr7g6smtcbgdpltccxbfjprdwe

Page 1866 of Mathematical Reviews Vol. , Issue 98C [page]

1998 Mathematical Reviews  
from multiple sources of inaccurate data.  ...  The present paper argues in favor of a more realistic learning model in which data emanates from multiple sources, some or all of which may be inaccurate.  ... 

The biological content accuracy of natural science textbooks for VIII grade

Puspa Mega Candra, Ixora Sartika Mercuriani, Endik Deni Nugroho, V. Vlorensius
2020 JPBI (Jurnal Pendidikan Biologi Indonesia)  
Furthermore, there were 5 inaccurate concepts found in the textbook published by private publisher.  ...  The properness of concepts, principles, and biological contents of natural science textbooks is essential.  ...  Researchers present data in narrative text, data analysis tables and charts. Data is presented from the results of the analysis in depth and based on the reference sources used in the research.  ... 
doi:10.22219/jpbi.v6i1.10837 fatcat:fovmcnvapzdw3pqrernl4ruscy

Video Synopsis by Heterogeneous Multi-source Correlation

Xiatian Zhu, Chen Change Loy, Shaogang Gong
2013 2013 IEEE International Conference on Computer Vision  
Specifically, our unsupervised framework is capable of seamlessly uncovering latent correlations among heterogeneous types of data sources, despite the non-trivial heteroscedasticity and dimensionality  ...  In contrast to existing video synopsis approaches that rely on visual cues alone, we propose a novel multi-source synopsis framework capable of correlating visual data and independent non-visual auxiliary  ...  elsewhere from multiple sources, with inherent challenges of being inaccurate and incomplete, unsynchronised to and may also be in conflict with the observed visual data.  ... 
doi:10.1109/iccv.2013.17 dblp:conf/iccv/ZhuLG13 fatcat:efnep6ehejexdlgb4zxhlwyfly

Robust Object Detection With Inaccurate Bounding Boxes [article]

Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang
2022 arXiv   pre-print
As the crowd-sourcing labeling process and the ambiguities of the objects may raise noisy bounding box annotations, the object detectors will suffer from the degenerated training data.  ...  In this work, we aim to address the challenge of learning robust object detectors with inaccurate bounding boxes.  ...  This work was supported by the National Natural Science Foundation of China under Grant No. 61876211, No. U1913602, and No. 62106080.  ... 
arXiv:2207.09697v1 fatcat:c35gtdmkvvh5de2if64uagdlqe

Lighting transfer across multiple views through local color transforms

Qian Zhang, Pierre-Yves Laffont, Terence Sim
2016 SIGGRAPH ASIA 2016 Technical Briefs on - SA '16  
Instead of directly propagating color, we learn local color transforms from corresponding patches in pairs of images and propagate these transforms in an edge-aware manner in regions with no correspondences  ...  Our color transforms model the large variability of appearance changes in local regions of the scene, and are robust to missing or inaccurate correspondences.  ...  Propagation of local color transforms We then propagate the transforms learned from correspondences to other regions of the source image (Fig. 2) .  ... 
doi:10.1145/3005358.3005360 fatcat:wd4uifvdrfdlplsrwfvbbi3bay

Prevalence, Predictors and Sources of Information Regarding Neuromyths in an Australian Cohort of Preservice Teachers

Mark Carter, Macquarie University, Penny Van Bergen, Jennifer Stephenson, Carol Newall, Naomi Sweller, Macquarie University, Macquarie University, Macquarie University, Macquarie University
2020 Australian Journal of Teacher Education  
To date, little research has considered the sources of these beliefs.  ...  The term neuromyths refers to misconceptions about learning and the brain. Educator neuromyths may result in inappropriate instruction, labelling of learners, and wasted resources.  ...  Less encouraging was the fact that 48.9% of inaccurate responders also reported communication from academics as a source.  ... 
doi:10.14221/ajte.2020v45n10.6 fatcat:wfamkp6s3bal7lhhrijgtebitq

Extremely Weak Supervision Inversion of Multi-physical Properties [article]

Shihang Feng, Peng Jin, Xitong Zhang, Yinpeng Chen, David Alumbaugh, Michael Commer, Youzuo Lin
2022 arXiv   pre-print
Moreover, the label data on three geophysical properties can be significantly reduced by 50 times (from 100 down to only 2 locations).  ...  We explore a multi-physics inversion problem from two distinct measurements (seismic and EM data) to three geophysical properties (velocity, conductivity, and CO_2 saturation).  ...  With pseudo labels built from the sparse labeling of the properties, we can train an endto-end network that learns the mapping from the measurement to the property.  ... 
arXiv:2202.01770v2 fatcat:kgo4ymxtwnhoneck7pubb3j6vi

Self-Explaining Photosynthesis to Achieve Conceptual Change: An Analysis of Explanation Content

Merrin Oliver, Virginia Troemel
2022 International Journal of Learning, Teaching and Educational Research  
We examined data from an online assignment in introductory biology where 118 college undergraduates answered multiple-choice questions related to commonly misconceived processes in photosynthesis and respiration  ...  This study investigates how the content of learners' explanations of photosynthesis processes affects learning.  ...  Inaccurate explanations could range from the incorrect usage of a term, to the statement of an incorrect fact, to the application of multiple pieces of inaccurate information.  ... 
doi:10.26803/ijlter.21.7.22 fatcat:juhdp4w2jfbj3pqkcotnihd5sm

Translation Repair Method for Improving Accuracy of Translated Sentences

2014 IEICE transactions on information and systems  
In addition, it selects an accurate translation from among the multiple translations using the results of a Web search.  ...  Our method creates multiple translations by adding personal pronouns to the source sentence and by using a word dictionary and a parallel corpus.  ...  based on a statistical translation model. • We will investigate the accuracy of Japanese-Chinese PTs and Japanese-Korean PTs.  ... 
doi:10.1587/transinf.e97.d.1528 fatcat:e5gsjptazzd3lgvvmffq3ucmre

New threats to health data privacy

Fengjun Li, Xukai Zou, Peng Liu, Jake Y Chen
2011 BMC Bioinformatics  
information pieces from multiple sources against health data privacy become practical.  ...  In particular, we show that private healthcare information could be collected by aggregating and associating disparate pieces of information from multiple online data sources including online social networks  ...  This article has been published as part of BMC Bioinformatics Volume 12 Supplement 12, 2011: Selected articles from the 9th International Workshop on Data Mining in Bioinformatics (BIOKDD).  ... 
doi:10.1186/1471-2105-12-s12-s7 pmid:22168526 pmcid:PMC3247088 fatcat:aaskhxyp5jbvrmk3noitmzqrka

Generalizable Model-agnostic Semantic Segmentation via Target-specific Normalization [article]

Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao
2021 arXiv   pre-print
Besides, considering the data-distribution discrepancy between seen source and unseen target domains, we develop the target-specific normalization scheme to enhance the generalization ability.  ...  Extensive experiments highlight that the proposed method produces state-of-the-art performance for the domain generalization of semantic segmentation on multiple benchmark segmentation datasets, i.e.,  ...  In the setting of UDA, the model was trained with 1) labeled data from the source domain and 2) unlabeled data from the target domain.  ... 
arXiv:2003.12296v2 fatcat:t65rdkl6r5drhgiywrmer73qa4

MEG Source Localization Via Deep Learning

Dimitrios Pantazis, Amir Adler
2021 Sensors  
The proposed deep model architectures are tuned to single and multiple time point MEG data, and can estimate varying numbers of dipole sources.  ...  , inter-source correlation values, and number of sources.  ...  Acknowledgments: The second author wishes to thank Braude College of Engineering for supporting this research. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/s21134278 pmid:34206620 fatcat:nyr745pfazhqtbezdtlvmuvide

Exploring Undergraduates' Understanding of Photosynthesis Using Diagnostic Question Clusters

Joyce M. Parker, Charles W. Anderson, Merle Heidemann, John Merrill, Brett Merritt, Gail Richmond, Mark Urban-Lurain, Deborah Allen
2012 CBE - Life Sciences Education  
Data on students' responses to the cluster items and uses of some of the questions in multiple-choice, multiple-true/false, and essay formats are compared.  ...  Collectively, the data show that many undergraduates lack both a basic understanding of the role of photosynthesis in plant metabolism and the ability to reason with scientific principles when learning  ...  The authors gratefully acknowledge the contributions of Chris Wilson, Amy Lark, Duncan Sibley, and the rest of Center for Research on College Science Teaching and Learning community.  ... 
doi:10.1187/cbe.11-07-0054 pmid:22383617 pmcid:PMC3292062 fatcat:berz4twuirdztf5llhfrp7crj4
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