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Two New Frameworks for Learning [chapter]

B.K. Natarajan, P. Tadepalli
1988 Machine Learning Proceedings 1988  
This paper presents two new formal frameworks for learning.  ...  With the above in mind, this paper presents two new frameworks for !earning (a) a learning frnmew,.  ... 
doi:10.1016/b978-0-934613-64-4.50046-3 fatcat:y3fxqbr7cjdcjbsmoyl4mo3bli

Two new frameworks for learning

Balaubramaniam Kausik. Natarajan
Meta-Algorithm Conclusion This paper introduced two new frameworks for learning.  ...  With the above in mind, this paper presents two new frameworks for learning (a) a learning framework that captures the essential ingredients of what is called a "learning architecture" in the Al literature  ... 
doi:10.1184/r1/6561437.v1 fatcat:crmbmbrxujg55oln5x4lrhf6dm

Medical educators' beliefs about teaching, learning, and knowledge: development of a new framework

Marleen W. Ottenhoff- de Jonge, Iris van der Hoeven, Neil Gesundheit, Roeland M. van der Rijst, Anneke W. M. Kramer
2021 BMC Medical Education  
The new framework sharpens the boundary between teaching-centred and learning-centred belief orientations.  ...  We used the original framework of Samuelowicz and Bain as a starting point for context-specific adaptation.  ...  Bart Mertens for their advice on statistics, and Prof Dr. Yvonne Steinert for her worthwhile feedback on the manuscript.  ... 
doi:10.1186/s12909-021-02587-x pmid:33745444 fatcat:s6ud5z4eprckznakobw7ijsbfa

Review of Components from Frameworks and Models for DGBL for History Based Courses

Sumbul Ghulamani, Asadullah Shah, Kamran Khowaja
2020 University of Sindh Journal of Information and Communication Technology  
This paper explores the existing frameworks and models that are being used for the development of games for the classroom and identifies the 13 components that can be used for the development of history  ...  Digital Game Based Learning (DGBL) can also be useful as a supportive choice for traditional class lectures.  ...  EXISTING FRAMEWORK FOR GAME BASED LEARNING This section describes the framework being used for the DGBL.  ... 
doaj:4af9e40e12114162a0385608f4f2bd51 fatcat:soupve2zofgw5ipska5vqdpzvi

A New Framework for Learning Approaches Toward Social Evolution of Organizations

Mohammad Ali Kashefi, Mohammd Sanjaghi
2013 Social Science Research Network  
Indeed we are looking to propose a specific learning framework for the firms that are tackling with CSR issues.  ...  A new framework is designed in order to gain insight on the relationships between the typical organizational learning approaches-which have been discussed extensively so far in the literature-and the brand-new  ...  Hence, firms should monitor this new trend seriously and learn how to tackle with this change. For this purpose, they need to equip themselves with proper organizational learning frameworks.  ... 
doi:10.2139/ssrn.2207294 fatcat:j4cnv7yivzd3tnsqthxztxu5hm

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction [article]

Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu
2019 arXiv   pre-print
In this paper, to capture the first two principles, we designed a Hybrid Attention Networks to predict the stock trend based on the sequence of recent related news.  ...  efficient learning.  ...  We present empirical analysis to reveal principles for designing news-oriented stock prediction framework in Section 3, based on which we propose a new deep learning framework with details in Section 4  ... 
arXiv:1712.02136v3 fatcat:44hdsqv7jbcbpak3e4iyger6ha

Object Detection-Based One-Shot Imitation Learning with an RGB-D Camera

Shao, Qi, Ma, Fang, Wang, Hu
2020 Applied Sciences  
End-to-end robot learning has achieved a great success for robots to obtain various manipulation skills. It learns a function which maps visual information to robotic action directly.  ...  This approach mainly has two modules: the object detection network and the motion policy network.  ...  In this paper, an object detection-based framework is proposed for one-shot imitation learning, and it can obtain a good performance for novel objects and new environments.  ... 
doi:10.3390/app10030803 fatcat:m54bsnac2ncbja3fy6x2oiptoe

A Framework for Model Search Across Multiple Machine Learning Implementations [article]

Yoshiki Takahashi, Masato Asahara, Kazuyuki Shudo
2019 arXiv   pre-print
It has been designed with the following two attractive features: i) new machine learning implementations can be added easily via common interfaces between the framework and ML implementations and ii) it  ...  They also show that ours was the fastest framework for the HIGGS dataset, and the second-fastest for the SECOM dataset.  ...  ACKNOWLEDGMENT This work was supported by New Energy and Industrial Technology Development Organization (NEDO).  ... 
arXiv:1908.10310v1 fatcat:3yuyqst7a5dgplb5npxjiojp5e

Evaluation of a new e-learning framework for teaching nuclear medicine and radiology to undergraduate medical students

Ankush Gulati, Thomas Schwarzlmüller, Elsa du Plessis, Eirik Søfteland, Robert Gray, Martin Biermann
2019 Acta Radiologica Open  
To emphasize skills in the students' learning process, we developed and evaluated a new e-learning framework for teaching medical imaging.  ...  The new e-learning framework teaches students basic competency in PET/CT navigation and interpretation and is associated with a high degree of student satisfaction.  ...  Acknowledgements The authors thank Professor Ketil Grong, Karen Budal, and Anne Berit Kolmannskog for conducting the OSCE pilot in 2017 and establishing OSCE in the new medical curriculum at the University  ... 
doi:10.1177/2058460119860231 pmid:31360540 pmcid:PMC6640061 fatcat:5yldsrwiqzf2rlydcjcyhjarbe

A Deep Learning Framework for Lifelong Machine Learning [article]

Charles X. Ling, Tanner Bohn
2021 arXiv   pre-print
Thus, while our framework is still conceptual, and our experiment results are surely not SOTA, we hope that this unified lifelong learning framework inspires new work towards large-scale experiments and  ...  and backward transfer of knowledge, and learning a new concept or task with only a few examples.  ...  Acknowledgments We are thankful for the constructive discussion and comments from lab members and colleagues on the many drafts of this work.  ... 
arXiv:2105.00157v1 fatcat:jnfc3jy7zjbovleubzu2vrfo7a

A Framework for Research on Technology-Enhanced Special Education

Ilkka Jormanainen, Eija Karna-Lin, Lauri Lahti, Kaisa Pihlainen-Bednarik, Erkki Sutinen, Jorma Tarhio, Marjo Virnes
2007 Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)  
Based on results from the Technologies for Children with Individual Needs Project and two case projects, we propose a new multidisciplinary framework for research between computer science, educational  ...  The framework presents a way to conduct research that aims at developing new methods for technology-enhanced special education and for developing adaptable software and hardware tools for individual needs  ...  Acknowledgement The financial support for the Technologies for Children with Individual Needs Project  ... 
doi:10.1109/icalt.2007.12 dblp:conf/icalt/JormanainenKLPSTV07 fatcat:lvdzt4r23jb5po2vgo2todnmgq

DMLRid – An XML-Based Proof-of-Concept MobileDRM Framework for Sharing Learning Contents amongMobile Networks

Vladan Nincic
2013 International Journal of Information and Electronics Engineering  
This new framework for Digital Rights Management in systems for mobile learning enhances the ability to define, manage, and share the licensed learning multimedia content among different mobile networks  ...  The new framework introduces a new approach that while the university may have a Web portal page for mobile learning material, it should not host or provide the complete delivery service.  ...  METHODOLOGY The main goal of the project is to develop a new framework for delivery of the DRM-protected content in an m-learning environment.  ... 
doi:10.7763/ijiee.2013.v3.294 fatcat:34hivhxndbbwtdurm4bnq3vj2e

A Feature Vector Approach for Inter-Query Learning for Content-Based Image Retrieval

Kien-Ping Chung, Chun Che Fung
2007 Journal of Advanced Computational Intelligence and Intelligent Informatics  
In the previous work [1], we developed a feature vector framework for inter-query learning using statistical discriminant analysis.  ...  One weakness of the previous framework is that the criteria for exploring and merging with an existing visual group are based on two constant thresholds, which are selected through trial and error.  ...  Test Results and Discussion Conclusion We have introduced a new criterion and threshold in a statistical discriminant analysis framework for inter-query learning in CBIR.  ... 
doi:10.20965/jaciii.2007.p0289 fatcat:uerj5mrvyne33fdqu53tmo5auq

Two-path Deep Semi-supervised Learning for Timely Fake News Detection [article]

Xishuang Dong, Uboho Victor, Lijun Qian
2020 arXiv   pre-print
In order to achieve timely detection of fake news in social media, a novel framework of two-path deep semi-supervised learning is proposed where one path is for supervised learning and the other is for  ...  To verify this framework, we implement a Word CNN based semi-supervised learning model and test it on two datasets, namely, LIAR and PHEME.  ...  In order to achieve timely detection of fake news in social media, a novel framework of two-path deep semi-supervised learning is proposed where one path is for supervised learning and the other is for  ... 
arXiv:2002.00763v1 fatcat:m7bnz4boyfeyxdaafhmicdgyze

On co-training online biometric classifiers

Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, Mayank Vatsa, Afzel Noore, Arun Ross
2011 2011 International Joint Conference on Biometrics (IJCB)  
Online learning has been used for updating the classifier decision boundary. However, this requires labeled data that is only available during new enrolments.  ...  The proposed co-training online classifier update algorithm is presented as a semi-supervised learning task and is applied to a face verification application.  ...  The authors thank the reviewers for their constructive feedback. This work was supported by a grant from the US Army Research Laboratory, Contract No. W911NF-10-2-0021.  ... 
doi:10.1109/ijcb.2011.6117519 dblp:conf/icb/BhattBSVNR11 fatcat:u4mqa7qierhsjn7hhbcjrnic5u
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