263,985 Hits in 3.0 sec

Learning Contextual-Variability Models

Paul Temple, Mathieu Acher, Jean-Marc Jezequel, Olivier Barais
2017 IEEE Software  
Modeling how contextual factors relate to the configuration space of a software system is most of the time a manual and error-prone task, highly dependent on expert knowledge.  ...  Machine learning techniques have the potential to automatically predict what are the acceptable software configurations of a given context.  ...  Learning Contextual Variability Models Second , we execute and observe each software configuration within the context configuration.  ... 
doi:10.1109/ms.2017.4121211 fatcat:ykrd4uordrep3n2baiyt3rpucq

Analysis of an integrated learning model: Relationships between contextual variables and the meta-beliefs of Secondary education pupils

José Antonio Cecchini-Estrada, Antonio Méndez-Giménez, Javier Fernández-Río
2014 Aula Abierta  
Variables contextuales del aprendizaje Recientemente, Cecchini et al. (2014) y Cecchini, Méndez-Giménez y Fernández-Río (2013) han propuesto y validado un modelo jerárquico contextual-disposicional del  ...  Estos resultados muestran que la acción docente (variables contextuales) repercute directamente en la actitud y aptitud del alumno (variables disposicionales).  ... 
doi:10.17811/rifie.42.2014.90-97 fatcat:lf63dgqymndndntnxtyirsie7u

A three-stage DEA model to evaluate learning-teaching technical efficiency: Key performance indicators and contextual variables

Ramón Fuentes, Begoña Fuster, Adelaida Lillo-Bañuls
2016 Expert systems with applications  
comparison to other models including contextual variables (such as Banker & Morey, 1986; Ruggiero, 1998 and Yang & Paradi, 2003) .  ...  First, it includes the effect of contextual variables when making the calculation of values of efficiency using the DEA model designed by Muñiz (2002) , having clear advantages over alternative models  ... 
doi:10.1016/j.eswa.2015.11.022 fatcat:czp4ehrqkjajxeyncphlxkzmcy

Contextual Policy Search for Micro-Data Robot Motion Learning through Covariate Gaussian Process Latent Variable Models

Juan Antonio Delgado-Guerrero, Adria Colome, Carme Torras
2020 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
Thus, contextual variables are considered in the latent search space, from which a surrogate model for the reward function is built.  ...  These robot motion learning procedures allow the encoding of such tasks by means of parameterized trajectory generators, usually a Movement Primitive (MP) conditioned on contextual variables.  ...  The aim of contextual PS is to learn how to vary ω n , depending on the context variables s n . B.  ... 
doi:10.1109/iros45743.2020.9340709 fatcat:aaq2jhjtnvcftc7tjoxajcda4q

The Living Values-Based Contextual Learning to Develop the Students' Character

2012 Journal of Social Sciences (New York, N.Y.)  
This study aimed at describing: (1) the living values-based contextual learning model conceptually in lecturing; (2) the implementation of the living values-based contextual learning model in lecturing  ...  lecturing evaluation conceptually; (2) the living values-based contextual learning model was implemented through value learning variation in contextual learning (problem-based learning, cooperative learning  ...  of the living valuesbased contextual learning model in lecturing (introduction, main activity and closing) • How is the effect of the living values-based contextual learning model on the students' character  ... 
doi:10.3844/jssp.2012.246.251 fatcat:mjisk7shbzai5ombpvandieifm

A statistical recommendation model of mobile services based on contextual evidences

Artzai Picón, Sergio Rodríguez-Vaamonde, Javier Jaén, Jose Antonio Mocholi, David García, Alejandro Cadenas
2012 Expert systems with applications  
A statistical recommendation model of mobile services based on contextual evidences. Expert Systems with Applications. 39(1):647-653.  ...  LEARNING LOGIC Given a Contextual Services Consumption Model (CSCM) that is defined by a taxonomy of services T, a specific discretization for the context variables through a matrix of contextual nodes  ...  among the different contextual variables, extend the implementation to a real mobile environment based on Android mobile phones and to integrate this learning model with a prediction system of future  ... 
doi:10.1016/j.eswa.2011.07.056 fatcat:fzdbcxka5vasdgk6alnvfvbpvy

Brain based learning with contextual approach to mathematics achievement

V Kartikaningtyas, T A Kusmayadi, Riyadi Riyadi
2017 International Journal of Science and Applied Science: Conference Series  
The results of the study showed that BBL-contextual is better than direct learning on mathematics achievement. It means BBL-contextual could be an effective and innovative model.</p>  ...  BBL-contextual is the learning model that designed to develop and optimize the brain ability for getting a new concept and solving the real life problem. This study method was a quasi-experiment.  ...  For another researcher, this study could develop with another variable or compare BBL-contextual and the other learning model.  ... 
doi:10.20961/ijsascs.v2i1.16760 fatcat:mzcugr5pxzcu5ccyyvfsxs7j5u

The effect of brain based learning with contextual approach viewed from adversity quotient

V Kartikaningtyas, T A Kusmayadi, R Riyadi
2018 Journal of Physics, Conference Series  
BBL-contextual is the model to optimize the brain in the new concept learning and real life problem solving by making the good environment.  ...  there is no interaction between learning model and AQ on mathematics achievement.  ...  For other researcher, they could research about another variables or comparing BBL-contextual and the other learning model or approach. Figure 1 . 1 Figure 1.  ... 
doi:10.1088/1742-6596/1022/1/012014 fatcat:duaflc5745g3xog2p2kuw442w4

How Contextual Teaching and Learning (CTL) Correlates with Students' Learning Creativities

Iswan -, Herwina Bahar, Farihen -, Riza Yanti
2021 Frontiers of Contemporary Education  
This research aimed to investigate whether or not there was an effect of Contextual Teaching and Learning (CTL) model towards the improvement of students' learning creativities.  ...  The hypothesis of the study stated that there was an influence of Contextual Teaching and Learning (CTL) model towards 4th grade students' learning creativities improvement.  ...  Model Contextual Teaching and Learning (CTL) 1, The data of Contextual Teaching and Learning (CTL) as variable X and students' learning creativities as variable Y were obtained through the distribution  ... 
doi:10.22158/fce.v2n2p21 fatcat:2uybi4ypdfddbkvgynluqyioxa

Team learning and context; assessing the relationship between team-learning activities and contextual factors of team-learning environment and team-configurations

Olaf Timmermans, Van Linge, Van Petegem, Denekens
2011 Nursing : Research and Reviews  
Contextual variables affect the prevalence of team-learning activities in nursing teams.  ...  One contextual variable represented the overall environment for learning, and the other four contextual variables characterized basic configurations of organizational characteristics of nursing teams.  ...  The combination of the independent variables in this model explains 88.9% of the total regression effect (%R 2 ) on team learning.  ... 
doi:10.2147/nrr.s23475 fatcat:gngu3orpuvgqdcln7ihp3r3zte

Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction [article]

Mingmin Zhao, Chengxu Zhuang, Yizhou Wang, Tai Sing Lee
2015 arXiv   pre-print
The model learns latent contextual representations by maximizing the predictability of visual events based on local and global contextual information through both top-down and bottom-up processes.  ...  We propose a new neurally-inspired model that can learn to encode the global relationship context of visual events across time and space and to use the contextual information to modulate the analysis by  ...  Such a module can be used to build recurrent neural networks to model the temporal evolution of the contextual variables, or be stacked up to form deep networks to learn hierarchical features, each layer  ... 
arXiv:1411.3815v6 fatcat:5lwhdgcqmncbtfrwad65pd2b54


Moh. Farizqo Irvan, Mohammad Adam Jerusalem, Habibullah Habibullah
2020 Jurnal Aksioma  
This research aimed to know the appropriate learning model was applied in early grade mathematics learning by showed the differences in mathematics learning outcomes of students who use contextual teaching-learning  ...  So, this model was suitable to apply in early grade mathematics learning.  ...  The independent variable in this study is the learning model that is applied in mathematics learning in elementary grades (contextual teaching and learning and problem-based learning) in the first experimental  ... 
doi:10.24127/ajpm.v9i3.2779 fatcat:ltbiiwrbtrgddnrmlwb7tpob4q

Interpreting Contextual Effects By Contextual Modeling In Recommender Systems [article]

Yong Zheng
2017 arXiv   pre-print
In this paper, we specifically focus on different contextual modeling approaches, reshape the structure of the models, and exploit how to utilize the existing contextual modeling to interpret the contextual  ...  However, there are limited research which explore and discuss the capability of interpreting the contextual effects by the recommendation models.  ...  In this case, the model will learn the similarity between every two context conditions in the same context variable.  ... 
arXiv:1710.08516v1 fatcat:afft2h3cpjhh3hhnhvf5ki5wiu


Nizmi Putri, Reh Bungana Br. Perangin-angin, Daulat Saragi
2021 Jurnal Ilmiah Teunuleh  
This study aims to analyze: (1) the influence of the Contextual Teaching and Learning Model is higher compared to the Direct learning model; (2) PPKn learning outcomes of students who have high social  ...  The results showed: (1) There is an influence of Contextual Teaching and Learning Model on the learning outcomes of PPKn students in grade IV SD Negeri 101788 Marindal I; (2) PPKn learning outcomes of  ...  While the free variables in this study is a learning model that will be distinguished from the learning model "contextual teaching and learning" and direct learning model.  ... 
doi:10.51612/teunuleh.v2i1.36 fatcat:unvppamwljgt3gfz2fss7jlb4q

attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines

Fabio Petroni, Vassilis Plachouras, Timothy Nugent, Jochen L. Leidner
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)  
The key approach of popular models such as word2vec and GloVe is to learn dense vector representations from the context of words.  ...  However, these models typically integrate only limited additional contextual information, and often in ad hoc ways. * work conducted whilst the author was at Thomson Reuters.  ...  ., w |W | } and the set of all contextual variables denoted by C = {c 1 , ..., c |C| }. We denote V = W ∪ C the set of all considered words and contextual variables.  ... 
doi:10.18653/v1/n18-1042 dblp:conf/naacl/PetroniPNL18 fatcat:pzzpagyksbhtvjsfllevpg6kuq
« Previous Showing results 1 — 15 out of 263,985 results