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Relevant bibliographies by topics / Context inference

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Academic literature on the topic 'Context inference'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Context inference"

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Chen, Dingding, Yanchen Deng, Ziyu Chen, Wenxing Zhang, and Zhongshi He. "HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7087–94. http://dx.doi.org/10.1609/aaai.v34i05.6195.

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Search and inference are two main strategies for optimally solving Distributed Constraint Optimization Problems (DCOPs). Recently, several algorithms were proposed to combine their advantages. Unfortunately, such algorithms only use an approximated inference as a one-shot preprocessing phase to construct the initial lower bounds which lead to inefficient pruning under the limited memory budget. On the other hand, iterative inference algorithms (e.g., MB-DPOP) perform a context-based complete inference for all possible contexts but suffer from tremendous traffic overheads. In this paper, (i) hy

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Mahmud, Umar, and Mohammed Younus Javed. "Context Inference Engine (CiE)." International Journal of Advanced Pervasive and Ubiquitous Computing 4, no. 3 (2012): 13–41. http://dx.doi.org/10.4018/japuc.2012070102.

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Context Awareness is the task of inferring contextual data acquired through sensors present in the environment. ‘Context’ encompasses all knowledge bounded by a scope and includes attributes of machines and users. A general context aware system is composed of context gathering and context inference modules. This paper proposes a Context Inference Engine (CiE) that classifies the current context as one of several recorded context activities. The engine follows a distance measure based classification approach with standard deviation based ranks to identify likely activities. The paper presents t

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Franks, Curtis. "The Context of Inference." History and Philosophy of Logic 39, no. 4 (2018): 365–95. http://dx.doi.org/10.1080/01445340.2018.1439257.

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Henzinger, Thomas A., Ranjit Jhala, and Rupak Majumdar. "Race checking by context inference." ACM SIGPLAN Notices 39, no. 6 (2004): 1–13. http://dx.doi.org/10.1145/996893.996844.

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Song, D., and P. D. Bruza. "Towards context sensitive information inference." Journal of the American Society for Information Science and Technology 54, no. 4 (2003): 321–34. http://dx.doi.org/10.1002/asi.10213.

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Padovani, Luca. "Context-Free Session Type Inference." ACM Transactions on Programming Languages and Systems 41, no. 2 (2019): 1–37. http://dx.doi.org/10.1145/3229062.

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Káldi, Tamás, and Anna Babarczy. "Linguistic exhaustivity inference is context dependent." Acta Linguistica Academica 65, no. 4 (2018): 547–95. http://dx.doi.org/10.1556/2062.2018.65.4.2.

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Shang, Yuanyuan, Ge Li, Zhong Luan, Xiuzhuang Zhou, and Guodong Guo. "Sky detection by effective context inference." Neurocomputing 208 (October 2016): 238–48. http://dx.doi.org/10.1016/j.neucom.2015.12.126.

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Fang, Yili, Hailong Sun, Guoliang Li, Richong Zhang, and Jingpeng Huai. "Context-aware result inference in crowdsourcing." Information Sciences 460-461 (September 2018): 346–63. http://dx.doi.org/10.1016/j.ins.2018.05.050.

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Qi Cao, Meng Hiot Lim, Ju Hui Li, Yew Soon Ong, and Wil Lie Ng. "A context switchable fuzzy inference chip." IEEE Transactions on Fuzzy Systems 14, no. 4 (2006): 552–67. http://dx.doi.org/10.1109/tfuzz.2006.876735.

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Dissertations / Theses on the topic "Context inference"

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Scicluna, James. "Grammatical inference of probalistic context-free grammars." Nantes, 2014. http://www.theses.fr/2014NANT2071.

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L’inférence grammaticale consiste à apprendre, à partir de données provenant d’un langage, une grammaire susceptible d’expliquer ou de générer le langage en question. Ce travail, concerne les grammaires incontextuelles (ou context-free) probabilistes, plus puissantes que les grammaires régulières, objet de la plupart des travaux en inférence grammaticale. L’apprentissage est non supervisé : aucune information structurelle n’est connue. Le travail comprend un état de l’art concernant l’inférence grammaticale, les grammaires probabilistes et les classes de grammaires permettant un apprentissage

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Michael, Mary Gordon Peter C. "Inference and context individual differences in interpretation and integration /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,1140.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2007.<br>Title from electronic title page (viewed Mar. 27, 2008). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Psychology." Discipline: Psychology; Department/School: Psychology.

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Natali, Stefano. "Integrating Context Inference and Planning in a Network Robot System." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45441.

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Context Inference and Planning are becoming more and more valuable in robot oriented technology and several artificial intelligence techniques exist for solving both context inference and planning problems. However, not many combinations of context inference and planning solving have been tried and evaluated as well as comparison between these combinations. This thesis aims to compare two different algorithms, using two different approaches to the problems of context inference and planning. The algorithms studied are Graphplan, which is a classical planning approach to context inference and pl

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Tabet, Chiara. "Inferences in context : contextualism, inferentialism and the concept of universal quantification." Thesis, St Andrews, 2008. http://hdl.handle.net/10023/688.

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Wagner, Sander. "Cautious inference : random life course events of parents and children in context." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/277361.

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Esta tesis aborda el tema de los experimentos naturales o políticos que afectan el curso de la vida de padres e hijos y de las limitaciones de inferencia en tales experimentos. El primer trabajo "A non-linear Assessment of Preschool Effects" evalúa de forma no lineal la asignación de diferentes programas pre-escolares para niños daneses. Constatando que los resultados anteriores de encontrar efectos débiles se mantienen, pero que los niños y niñas muestran sorprendentemente diferentes efectos no lineales. El segundo papel "Rusty Instruments?" muestra que el método estándar para estimar los efe

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Gweon, Hyowon. "Learning in the social context : inference, exploration and evaluation in early childhood." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77642.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 107-116).<br>Some of the biggest achievements in our lives are made even before we learn to tie our shoes. Within a few years of life, we master a language, acquire cultural norms, and develop naïve, yet rich, abstract, coherent theories about how

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Flint, Alexander John. "Geometric context from single and multiple views." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:f6c11e50-c059-4254-9dfc-5cbd2ee8147f.

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In order for computers to interact with and understand the visual world, they must be equipped with reasoning systems that include high–level quantities such as objects, actions, and scenes. This thesis is concerned with extracting such representations of the world from visual input. The first part of this thesis describes an approach to scene understanding in which texture characteristics of the visual world are used to infer scene categories. We show that in the context of a moving camera, it is common to observe images containing very few individually salient image regions, yet overall text

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Frasure, Ivan. "Static Evaluation of Type Inference and Propagation on Global Variables with Varying Context." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1559667148325266.

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Berti, Marcos Luiz [UNESP]. "Competência referencial nitidamente inferencial na produção dos sentidos do texto escolar." Universidade Estadual Paulista (UNESP), 2007. http://hdl.handle.net/11449/102481.

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Made available in DSpace on 2014-06-11T19:32:09Z (GMT). No. of bitstreams: 0 Previous issue date: 2007-02-23Bitstream added on 2014-06-13T20:03:12Z : No. of bitstreams: 1 berti_ml_dr_assis.pdf: 530715 bytes, checksum: 3898e59d8cc563b376b6a8d3af2c6d1d (MD5)<br>O trabalho procura investigar os mecanismos de referenciação usados em produções de alunos de Ensino Médio para deixar pistas para que seu leitor faça inferências durante a leitura para produzir sentidos ao que lê. A reconstrução por inferenciação permite estabelecer o elo entre as informações explícitas e as implícitas no co-texto, em

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Becerra, Bonache Leonor. "On the learnibility of Mildly Context-Sensitive languages using positive data and correction queries." Doctoral thesis, Universitat Rovira i Virgili, 2006. http://hdl.handle.net/10803/8780.

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Con esta tesis doctoral aproximamos la teoría de la inferencia gramatical y los estudios de adquisición del lenguaje, en pos de un objetivo final: ahondar en la comprensión del modo como los niños adquieren su primera lengua mediante la explotación de la teoría inferencial de gramáticas formales.<br/><br/>Nuestras tres principales aportaciones son:<br/><br/>1. Introducción de una nueva clase de lenguajes llamada Simple p-dimensional external contextual (SEC). A pesar de que las investigaciones en inferencia gramatical se han centrado en lenguajes regulares o independientes del contexto, en nue

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Books on the topic "Context inference"

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Schulze, Cornelia, and Frank Liedtke. Beyond words: Content, context, and inference. De Gruyter Mouton, Walter De Gruyter GmbH, 2013.

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Methodological problems with the academic sources of popular psychology: Context, inference, and measurement. Lexington Books, 2016.

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Perception beyond inference: The information content of visual processes. MIT Press, 2011.

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Schulze, Cornelia, and Frank Liedtke. Beyond Words: Content, Context, and Inference. De Gruyter, Inc., 2013.

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Douven, Igor. Inference to the Best Explanation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198746904.003.0002.

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This chapter discusses how critics of Inference to the Best Explanation (IBE) complain that the rule has never been properly articulated. Another common complaint is that whatever the precise formulation of the rule, we can do without it for it must be inferior to Bayes’ rule. It is here suggested that IBE is best thought of as a slogan that can be fleshed out in different ways, where different fleshings-out may have different merits and drawbacks, depending on the context of usage. Some reasons are given for believing that, in some contexts, versions of IBE outperform Bayes’ rule in all impor

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Ausch, Robert. Methodological Problems with the Academic Sources of Popular Psychology: Context, Inference, and Measurement. Rowman & Littlefield Publishers, Incorporated, 2019.

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Rogowski, Jon C., and Betsy Sinclair. Causal Inference in Political Networks. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.6.

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Though scholars have developed an increasingly rich set of research findings regarding the structure of political networks, identifying causal associations between these networks and political outcomes of interest presents a variety of challenges. Addressing these challenges is especially important given the prominence of networks in theories of individual and collective behavior. This chapter uses the framework of the Neyman-Rubin causal model (potential outcomes framework) to discuss challenges to identification researchers face when studying how networks affect political outcomes. It then d

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Goodman, Steven N., and Jonathan M. Samet. Causal Inference in Cancer Epidemiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0007.

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Judgments about causality are central to the development of interventions intended to reduce exposure to risk factors that cause cancer. Because causation is not directly observable in medicine, scientists and philosophers have had to develop sets of constructs and heuristics that define “cause” operationally. The criteria in this framework, often attributed to the British medical statistician Sir Austin Bradford Hill or to the 1964 Report of the US Surgeon General on tobacco, include consistency, strength of association, specificity, temporality, coherence/plausibility/analogy, biological gra

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Golan, Amos. Causal Inference via Constraint Satisfaction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.003.0011.

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In this chapter I introduce a number of ideas connected to causal inference that are inherently connected to info-metrics. In the context of this chapter, causal inference means the causality inferred from the available information. I begin by introducing and examining nonmonotonic and default logics, which were developed to deal with extremely high conditional probabilities. Other facets of info-metrics and causal inference are then discussed. I also show the direct effect of the complete set of input information on the inferred solution. I conclude the chapter with a detailed Markov example

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Hart, Daniel, and Anne van Goethem. The Role of Civic and Political Participation in Successful Early Adulthood. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190260637.003.0012.

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Phenotypic positive youth civic development varies dramatically according to the political context in which it occurs. In democratic societies, successful individual development is reflected in commitment to and participation in existing civic structures. In contexts of oppression, however, positive youth civic development can include resistance and opposition. Research featuring designs that allow causal inferences is reviewed to identify developmental factors leading to positive youth civic development and political engagement. The impacts of family transitions, education, work, and communit

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Book chapters on the topic "Context inference"

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Emerald, J. D., K. G. Subramanian, and D. G. Thomas. "Learning a subclass of context-free languages." In Grammatical Inference. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0054078.

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Monz, Christof. "Contextual Inference in Computational Semantics." In Modeling and Using Context. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48315-2_19.

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Clark, Alexander, and Ryo Yoshinaka. "Distributional Learning of Context-Free and Multiple Context-Free Grammars." In Topics in Grammatical Inference. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48395-4_6.

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Yousefi, Bahram, Muhammad Imran, and Kathryn B. Laskey. "Synthesizing Inference Enterprises from Redacted Data." In Systems Engineering in Context. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00114-8_52.

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Yokomori, Takashi. "Learning context-free languages efficiently." In Analogical and Inductive Inference. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51734-0_54.

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Costa, Horacio Arló. "Epistemic Context, Defeasible Inference and Conversational Implicature." In Modeling and Using Context. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48315-2_2.

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Welbourne, Evan, Jonathan Lester, Anthony LaMarca, and Gaetano Borriello. "Mobile Context Inference Using Low-Cost Sensors." In Location- and Context-Awareness. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11426646_24.

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Padovani, Luca. "Context-Free Session Type Inference." In Programming Languages and Systems. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54434-1_30.

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Nagy, Benedek. "Graphical Representations of Context-Free Languages." In Diagrammatic Representation and Inference. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44043-8_7.

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Im, So-Young, Ryum-Duck Oh, and Yoon-Cheol Hwang. "Inference Engine Design for USN Based Wetland Context Inference." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20998-7_33.

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Conference papers on the topic "Context inference"

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Chatterjee, Ramkrishna, Barbara G. Ryder, and William A. Landi. "Relevant context inference." In the 26th ACM SIGPLAN-SIGACT symposium. ACM Press, 1999. http://dx.doi.org/10.1145/292540.292554.

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Reis, Arsénio, Dennis Paulino, Paulo Martins, Hugo Paredes, and João Barroso. "eHealth Context Inference." In International Workshop on Artificial Intelligence for Health. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006752707070714.

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Gundry, Adam, Conor McBride, and James McKinna. "Type inference in context." In the third ACM SIGPLAN workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1863597.1863608.

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Silva, Fabricio, Thais Silva, Antonio Loureiro, and Linnyer Ruiz. "Internal contexts inference system for ubiquitous context-aware applications." In the 12th International Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1967486.1967612.

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Henzinger, Thomas A., Ranjit Jhala, and Rupak Majumdar. "Race checking by context inference." In the ACM SIGPLAN 2004 conference. ACM Press, 2004. http://dx.doi.org/10.1145/996841.996844.

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Frank, Korbinian, Nikos Kalatzis, Ioanna Roussaki, and Nicolas Liampotis. "Challenges for context management systems imposed by context inference." In the 6th international workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1555321.1555329.

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Wu, Chao-Lin, Mao-Yung Weng, Ching-Hu Lu, and Li-Chen Fu. "Hierarchical generalized context inference or context-aware smart homes." In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iros.2012.6385739.

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Gorin, A. L., C. E. Priebe, and J. Grothendieck. "Random attributed graphs for statistical inference from content and context." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5494917.

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Roy, Nirmalya. "Quality-of-Inference aware context determination." In 2009 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 2009. http://dx.doi.org/10.1109/percom.2009.4912815.

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Suh, Donghyok, and Younghwan Oh. "Continuous Signal Preprocessing for Context Inference." In Advanced Information Technology and Sensor Application 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.53.67.

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Reports on the topic "Context inference"

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Rajarajan, Kunasekaran, Alka Bharati, Hirdayesh Anuragi, et al. Status of perennial tree germplasm resources in India and their utilization in the context of global genome sequencing efforts. World Agroforestry, 2020. http://dx.doi.org/10.5716/wp20050.pdf.

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Tree species are characterized by their perennial growth habit, woody morphology, long juvenile period phase, mostly outcrossing behaviour, highly heterozygosity genetic makeup, and relatively high genetic diversity. The economically important trees have been an integral part of the human life system due to their provision of timber, fruit, fodder, and medicinal and/or health benefits. Despite its widespread application in agriculture, industrial and medicinal values, the molecular aspects of key economic traits of many tree species remain largely unexplored. Over the past two decades, researc

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McDonald, David, and James Pustejovsky. C3: The Compositional Construction of Context. 'A More Effective and Efficient Way to Marshal Inferences from Background Knowledge'. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada592198.

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McDonald, David, and James Pustejovsky. C3: The Compositional Construction of Context. A New, More Effective and Efficient Way to Marshal Inferences from Background Knowledge. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada613236.

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McDonald, David D., and James D. Pustejovsky. C3: The Compositional Construction of Content: A New, More Effective and Efficient Way to Marshal Inferences from Background Knowledge that will Enable More Natural and Effective Communication with Automomous Systems. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada596162.

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DeJaeghere, Joan, Bich-Hang Duong, and Vu Dao. Teaching Practices That Support and Promote Learning: Qualitative Evidence from High and Low Performing Classes in Vietnam. Research on Improving Systems of Education (RISE), 2021. http://dx.doi.org/10.35489/bsg-rise-ri_2021/024.

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This Insight Note contributes to the growing body of knowledge on teaching practices that foster student learning and achievement by analysing in-depth qualitative data from classroom observations and teacher interviews. Much of the research on teachers and teaching in development literature focuses on observable and quantified factors, including qualifications and training. But simply being qualified (with a university degree in education or subject areas), or trained in certain ways (e.g., coaching versus in-service) explains very little of the variation in learning outcomes (Kane and Staige

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