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Journal articles on the topic 'Examprep'

Author: Grafiati

Published: 29 July 2024

Last updated: 31 July 2025

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1

Surname, Bob, Henry Blarg, and Fuzzybub Feeney. "What's up buttercup." Journal of Test Deposits 1, no. 1 (2000): 17. http://dx.doi.org/10.50505/example2.

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Feeney, Fuzzybub. "ᇒ궜 and ᘮ in spring." Journal of Test Deposits 1, no. 1 (2000): 27. http://dx.doi.org/10.50505/example3.

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Surname, Bob, Henry Blarg, and Fuzzybub Feeneyey. "Test surname length." Journal of Test Deposits 1, no. 1 (2000): 1. http://dx.doi.org/10.50505/example.

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McGinn, Kelly M., Karin E. Lange, and Julie L. Booth. "A Worked Example for Creating Worked Examples." Mathematics Teaching in the Middle School 21, no. 1 (2015): 26–33. http://dx.doi.org/10.5951/mathteacmiddscho.21.1.0026.

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Repenning, Alexander, and Corrina Perrone. "Programming by example: programming by analogous examples." Communications of the ACM 43, no. 3 (2000): 90–97. http://dx.doi.org/10.1145/330534.330546.

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Cain, James. "A Frankfurt Example to End All Frankfurt Examples." Philosophia 42, no. 1 (2013): 83–93. http://dx.doi.org/10.1007/s11406-013-9471-0.

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van Gog, Tamara, Liesbeth Kester, and Fred Paas. "Effects of worked examples, example-problem, and problem-example pairs on novices’ learning." Contemporary Educational Psychology 36, no. 3 (2011): 212–18. http://dx.doi.org/10.1016/j.cedpsych.2010.10.004.

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Corless, Robert M., and Leili Rafiee Sevyeri. "The Runge Example for Interpolation and Wilkinson's Examples for Rootfinding." SIAM Review 62, no. 1 (2020): 231–43. http://dx.doi.org/10.1137/18m1181985.

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9

Engel, A. "Learning from Examples in Artificial Neural Networks: A Simple Example." Zeitschrift für Physikalische Chemie 204, Part_1_2 (1998): 19–26. http://dx.doi.org/10.1524/zpch.1998.204.part_1_2.019.

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ÖZEN, YASEMİN. "SECONDARY ANALYSIS ON GRAPHIC DESIGN PACKAGING EXAMPLES: DORITOS CHIPS PACKAGING EXAMPLE." EUROASIA JOURNAL OF SOCIAL SCIENCES & HUMANITIES 8, no. 23 (2021): 24–30. http://dx.doi.org/10.38064/eurssh.263.

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In the consumption culture, the ability of the packaging produced to affect the buyer depends entirely on the power of graphical design. Different brand packages on the market shelves; attracts attention, promotes, protects, promotes as well as advertises. For this reason, brand packaging; It has a high sales share with the success it has achieved with its color, illustration and typography in accordance with graphic design criteria. In this study; It is aimed to evaluate the visuals of doritos chips packaging, created in line with the graphic design elements, with semiotic analysis. At this s

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Roelle, Julian, Sara Hiller, Kirsten Berthold, and Stefan Rumann. "Example-based learning: The benefits of prompting organization before providing examples." Learning and Instruction 49 (June 2017): 1–12. http://dx.doi.org/10.1016/j.learninstruc.2016.11.012.

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Ozgur, Zekiye, Amy B. Ellis, Rebecca Vinsonhaler, Muhammed Fatih Dogan, and Eric Knuth. "From examples to proof: Purposes, strategies, and affordances of example use." Journal of Mathematical Behavior 53 (March 2019): 284–303. http://dx.doi.org/10.1016/j.jmathb.2017.03.004.

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Ayu, Diah, Israq Maharani, and Siswadi Siswadi. "Upaya Meningkatkan Kemampuan Pemahaman Konsep Matematika Dengan Metode Example Non Examples." OMEGA: Jurnal Keilmuan Pendidikan Matematika 3, no. 1 (2024): 8–14. https://doi.org/10.47662/jkpm.v3i1.385.

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Tujuan penelitian ini adalah untuk mengetahui apakah terdapat perbedaan antara signifikasi pada pembelajaran matematika untuk meningkatkan kemapuan pemahaman konsep. penelitian ini dilakukan pada tahun 2022 di SMP Nusantara Lubuk Pakam. penelitian ini merupakan penelitian kuantitatif, menggunakan eksperimen, dengan menggunakan model Example Non Example. selanjutnya penelitian ini akan dibandingkan dengan hasil rata-rata pre-test = 62,30 dan nilai rata-rata post-test = 60,70. dari analisis Uji Validitas Soal Validitas instrument tes kemampuan pemahaman konsep matematis siswa pada penelitian ini

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Nevid, Jeffrey S., and Casey Armata. "Testing by Examples: Framing Example-Based Questions Either Inductively or Deductively." Journal of Education and Learning 15, no. 1 (2025): 32. https://doi.org/10.5539/jel.v15n1p32.

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The present study examined the relative difficulty of example-based test questions framed inductively and deductively in relation to each other and to basic knowledge questions in two introductory psychology courses across two semesters. Results showed that students had more difficulty with deductively-framed questions on exams than basic knowledge questions and inductively-framed questions, with inductive and basic knowledge questions not differing significantly in difficulty. Test items tapping deductive reasoning skills may pose a greater challenge to students than other types of exam conte

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Iyakrus, Ridwandani, Sri Sumarni, and Wahyu Indra Bayu. "Pengembangan Model Pembelajaran Lompat Jauh Melalui Metode Contoh dan Non-Contoh." Jurnal Pendidikan Kesehatan Rekreasi Vol. 8, No. 2 (June 24, 2022): 265–71. https://doi.org/10.5281/zenodo.6716871.

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The purpose of this study is to produce a long jump learning model using the sample and non-example methods during the Covid-19 pandemic period and to find out the effectiveness of the Long Jump Learning Model through the learning model. This research is development research with the subject of this study is a class VII-5 students of SMP Negeri 1 Talang Kelapa, South Sumatra, totaling 48 students by dividing 12 students for small group trials and 34 students in large group trials. The expert validity test provides recommendations that the developed model is appropriate to be applied to student

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Lange, Christopher, Norah Almusharraf, Yuliya Koreshnikova, and Jamie Costley. "The effects of example-free instruction and worked examples on problem-solving." Heliyon 7, no. 8 (2021): e07785. http://dx.doi.org/10.1016/j.heliyon.2021.e07785.

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Dienstag, Joshua Foa. "The Example of History and the History of Examples in Political Theory." New Literary History 48, no. 3 (2017): 483–502. http://dx.doi.org/10.1353/nlh.2017.0024.

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Sato, Satoshi. "MBT2: a method for combining fragments of examples in example-based translation." Artificial Intelligence 75, no. 1 (1995): 31–49. http://dx.doi.org/10.1016/0004-3702(94)00063-7.

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Kang, Kyungwan. "Examples of Synonym Analysis Using Linguistic Data: In Example of TOKUBETSU, TOKUSHU." Comparative Japanese Studies 56 (December 31, 2022): 127–47. http://dx.doi.org/10.31634/cjs.2022.56.127.

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Mustafa, Abdullatif Ahmed. "The Rhetorical study of the longest Quranic verse." Journal of University of Raparin 7, no. 1 (2020): 575–92. http://dx.doi.org/10.26750/vol(7).no(1).paper30.

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This paper is a rhetorical study of a single verse of the Qur’an. Which is the verse of debts. It is the longest verse of the Qura'n. It contains many splendid rules and great values. that this verse is one of the most Comprehensive verses of the Qur’an. It makes the life of people more organised and ensures a good destiny in the hereafter. Allah exalted has emphasised good treatment which is the main aspect of Islam and its pillar. He overstated the recommendation to maintain halal money and the methods which need to be taken to keep it safe from being destroyed. Therefore, it includes forms

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Benton, Laura, George Varotsis, and Asimina Vasalou. "Leading by example: Exploring the influence of design examples on children's creative ideation." International Journal of Human-Computer Studies 122 (February 2019): 174–83. http://dx.doi.org/10.1016/j.ijhcs.2018.09.007.

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Hermuttaqien, Bhakti Prima Findiga, Eva Faradisa, and Arifin Manggau. "Pengaruh Model Pembelajaran Example Non-Examples Berbasis Project Citizen Terhadap Hasil Belajar Siswa." Jurnal Ilmiah Mimbar Demokrasi 22, no. 1 (2022): 140–44. http://dx.doi.org/10.21009/jimd.v22i1.26876.

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Penelitian ini mempunyai tujuan untuk mengetahui ada tidaknya pengaruh signifikan penerapan model pembelajaran example non-examples berbasis project citizen terhadap hasil belajar siswa pada mata pelajaran PPKn kelas X di MA Al-Islam Bantur. Metode quasi experiment adalah metode yang digunakan oleh peneliti dengan jumlah siswa sebanyak 44. Pengambilan sampel menggunakan teknik clusterrandom dengan taraf kesalahan sebesar 5%. Adapun teknik pengumpulan data yang digunakan ialah tes dan angket. Sedangkan teknik analisis data yang digunakan ialah uji hipotesis yang terdiri dari uji T dan uji F. Be

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Yuan, Huan, Kelong Lu, Mengsi Jing, Cuirong Yang, and Ning Hao. "Examples in creative exhaustion: The role of example features and individual differences in creativity." Personality and Individual Differences 189 (April 2022): 111473. http://dx.doi.org/10.1016/j.paid.2021.111473.

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Salsabila Fauziyah, Ari Suryawan, Putri Meinita Triana, and Rr. Ratna Hapsari Puspitawati. "Pengaruh Model Pembelajaran Example Non Examples Berbantuan Media Gambar Terhadap Hasil Belajar PPKn Siswa." JPG: Jurnal Pendidikan Guru 5, no. 1 (2024): 103–12. http://dx.doi.org/10.32832/jpg.v5i1.15414.

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Penelitian ini bertujuan untuk mengetahui pengaruh model pemebelajaran example non examples berbantuan media gambar terhadap hasil belajar peserta didik kelas II. Populasi pada penelitian ini sebanyak 13 peserta didik kelas II Madrasah Ibtidaiyah Muhammadiyah Al-Muttaqien. Pemenilitan ini adalah penelitian kuantitatif menggunakan metode Pre-Eksperimental Design dengan One Group Pre-Test Post-Test Desing. Teknik pengumpulan data pada penelitian ini menggunakan instrumen soal pilihan ganda yang diuji prasyarat analisis data dan pengujian hipotesis. Sebelum pengambilan data lembar instrumen soal

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Renkl, Alexander, Robin Stark, Hans Gruber, and Heinz Mandl. "Learning from Worked-Out Examples: The Effects of Example Variability and Elicited Self-Explanations." Contemporary Educational Psychology 23, no. 1 (1998): 90–108. http://dx.doi.org/10.1006/ceps.1997.0959.

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KHOLIS, SITI NUR, Sarwo Edy, and Sri Suryanti. "PENGARUH PENGGUNAAN MODEL PEMBELAJARAN EXAMPLE NON EXAMPLES BERBASIS KONTEKSTUAL TERHADAP PEMAHAMAN MATEMATIKA PESERTA DIDIK." Postulat : Jurnal Inovasi Pendidikan Matematika 4, no. 1 (2023): 60. http://dx.doi.org/10.30587/postulat.v4i1.5917.

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The purpose of this study was to determine the effect of using a learning model using the contextualbased Example non Examples method on students understanding of matemathics. The type of research used is Quantitative Research with a correlational research desighn, namely a study to determine the influence and level of influence between two or more variables. The sample in this study were 32 students, with data cllection techniques using observation instruments and questionnaires. The results of this study indicate that there is an affect of using the example non examples learning model on stu

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Liu, Yixin, Kaidi Xu, Xun Chen, and Lichao Sun. "Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (2024): 3783–91. http://dx.doi.org/10.1609/aaai.v38i4.28169.

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The open sourcing of large amounts of image data promotes the development of deep learning techniques. Along with this comes the privacy risk of these image datasets being exploited by unauthorized third parties to train deep learning models for commercial or illegal purposes. To avoid the abuse of data, a poisoning-based technique, "unlearnable example", has been proposed to significantly degrade the generalization performance of models by adding imperceptible noise to the data. To further enhance its robustness against adversarial training, existing works leverage iterative adversarial train

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Choi, Seok-Hwan, Tae-u. Bahk, Sungyong Ahn, and Yoon-Ho Choi. "Clustering Approach for Detecting Multiple Types of Adversarial Examples." Sensors 22, no. 10 (2022): 3826. http://dx.doi.org/10.3390/s22103826.

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With intentional feature perturbations to a deep learning model, the adversary generates an adversarial example to deceive the deep learning model. As an adversarial example has recently been considered in the most severe problem of deep learning technology, its defense methods have been actively studied. Such effective defense methods against adversarial examples are categorized into one of the three architectures: (1) model retraining architecture; (2) input transformation architecture; and (3) adversarial example detection architecture. Especially, defense methods using adversarial example

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Viswanathan, Vimal, Megan Tomko, and Julie Linsey. "A study on the effects of example familiarity and modality on design fixation." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 2 (2016): 171–84. http://dx.doi.org/10.1017/s0890060416000056.

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AbstractDesign fixation is a factor that negatively influences the generation of novel design concepts (Jansson & Smith, 1991). When designers fixate, they tend to reproduce example features or features from their initial ideas. In order to mitigate design fixation, it is crucial to identify the factors that influence the extent of design fixation. This paper investigates two such factors: the modality of examples and the familiarity of designers with the example features. To investigate this, an experiment is conducted with mechanical engineering students who were asked to generate ideas

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Herawati, Anisa, Nurul Astuty Yensy, and Rusdi Rusdi. "PENGARUH HASIL BELAJAR MATEMATIKA SISWA DENGAN MENGUNAKAN PEMBELAJARAN EXAMPLE NON EXAMPLE DI SMPN 7 KOTA BENGKULU." Jurnal Penelitian Pembelajaran Matematika Sekolah (JP2MS) 3, no. 1 (2019): 58–65. http://dx.doi.org/10.33369/jp2ms.3.1.58-65.

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AbstrakPenelitian ini bertujuan untuk mengetahui apakah ada perbedaan rata-rata hasil belajara matematika siswa dengan mengunakan model pembelajaran example non example dan model pembelajaran ekspositori di SMP Negeri 7 Kota Bengkulu. Populasi pada penelitian ini adalah siswa kelas VII SMP Negeri 7 Kota Bengkulu. Sampel penelitian ini adalah siswa kelas VII A sebagai kelas sampel 1 yang mengunakan model pemebalajan example non exampel dan Kelas VII H sebagai kelas sampel 2 dengan mengunakan model pembelajaran ekspositori. Teknik pengumpulan data dengan mengunakan instrument tes. Untuk analisis

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Hou, Shou Ming, Li Juan He, Wen Peng Xu, Hua Tao Fan, and Zhong Qi Sheng. "Computation Model of Case Similarity Based on Uneven Weight Distance Coefficient." Applied Mechanics and Materials 44-47 (December 2010): 3965–69. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3965.

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In order to solve the retrieval problem of design example in rapid response design, similarity computation model among design examples is given, computation of attribute weight of design example is done based on the method of uneven weight distance coefficient, computation of similarity between product structure model that meet the requirement of customers and design examples existed is done by the method of combination weight. This method has been applied in rolling guide conceptual design based on example inference, the result indicated that the weight computational method proposed is simple

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Nainan, Mariam, Balamuralithara Balakrishnan, and Ahmad Zamzuri Mohamad Ali. "Design of Worked Examples for Learning Programming." International Journal of Instruction, Technology and Social Sciences 1, no. 3 (2021): 8–16. http://dx.doi.org/10.47577/ijitss.v1i.26.

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Learning from worked examples, or example-based learning, has been found to be effective for learning problem solving. Several instructional principles for worked example design have been proposed based on research studies conducted in several domains. However, research on the design of worked examples for programming education is limited. This study reviews research studies on worked examples proposed for teaching and learning how to solve programming problems and analyses the proposed designs with respect to the instructional principles for example-based learning. This paper presents the res

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Naumenko, S. "FAKE DRIVERS AND CERTIFICATES FOR REGISTRATION OF VEHICLES MANUFACTURED ON POLYMER III GENERATION, EXAMPLE EXAMPLES." Criminalistics and Forensics, no. 65 (May 18, 2020): 777–81. http://dx.doi.org/10.33994/kndise.2020.65.78.

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Thus, the described documents on a plastic basis have a number of significant drawbacks. These factors contribute to the legalization of stolen and non-cleared vehicles, which in turn leads to costly losses and shortfalls in the budget of significant funds, as well as the use of fake driver’s licenses. To correct this situation, it is necessary to strengthen the protection of this type of documents by applying additional protection methods, for example: inscriptions or images that will be damaged when deleting personal data, leaving traces of erasing, applying personal data by laser engraving.

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Suherman, Nanang. "Upaya Meningkatkan Kemampuan Berpikir Geometri Van Hiele Siswa SMP Melalui Model Pembelajaran Example Non Examples." Jurnal Analisa 2, no. 2 (2016): 69–80. http://dx.doi.org/10.15575/ja.v2i2.5379.

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Pokok bahasan geometri yang berhubungan dengan visualisasi gambar seringkali mengakibatkan siswa tidak senang dalam menghadapi pelajaran matematika. Jika dihubungkan dengan kemampuan berpikir matematis maka kemampuan yang paling cocok untuk dikembangkan berdasarkan masalah tersebut adalah kemampuan berpikir geometri Van Hiele. Tahapan berpikir geometri Van Hiele terdiri dari tahap pengenalan, analisis, pengurutan dan deduksi. Untuk mengaplikasikannya peneliti menggunakan model pembelajaran Example non Examples yang sejalan dengan berpikir geometri Van Hiele karena menggunakan media gambar. Tuj

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Booth, Julie L., Karin E. Lange, Kenneth R. Koedinger, and Kristie J. Newton. "Using example problems to improve student learning in algebra: Differentiating between correct and incorrect examples." Learning and Instruction 25 (June 2013): 24–34. http://dx.doi.org/10.1016/j.learninstruc.2012.11.002.

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Prado, Jefferson, and Robbin C. Moran. "(049) Proposal to amend Article 60.11 and its Examples, and to add a new Example." TAXON 69, no. 6 (2020): 1392. http://dx.doi.org/10.1002/tax.12392.

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Atkinson, Robert K., and Alexander Renkl. "Interactive Example-Based Learning Environments: Using Interactive Elements to Encourage Effective Processing of Worked Examples." Educational Psychology Review 19, no. 3 (2007): 375–86. http://dx.doi.org/10.1007/s10648-007-9055-2.

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Wu, Yuhang, Sunpreet S. Arora, Yanhong Wu, and Hao Yang. "Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (2021): 2969–77. http://dx.doi.org/10.1609/aaai.v35i4.16404.

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Adversarial examples are input examples that are specifically crafted to deceive machine learning classifiers. State-of-the-art adversarial example detection methods characterize an input example as adversarial either by quantifying the magnitude of feature variations under multiple perturbations or by measuring its distance from estimated benign example distribution. Instead of using such metrics, the proposed method is based on the observation that the directions of adversarial gradients when crafting (new) adversarial examples play a key role in characterizing the adversarial space. Compare

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Kafrita, Nova, and Sari Fatul Husnah. "Efek Penerapan Model Example Non Example Terhadap Hasil Belajar Kognitif Fisika pada Materi Getaran, Gelombang dan Bunyi." JEMST (Jurnal of Education in Mathematics, Science, and Technology) 3, no. 1 (2020): 1–8. http://dx.doi.org/10.30631/jemst.v3i1.27.

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Penelitian ini dilatar belakangi oleh temuan lapangan peneliti di mana siswa mengalami kesulitan dalam memahami konsep fisika yang menyebabkan rendahnya motivasi belajar siswa, sebagai dampak akhir yaitu rendahnya hasil belajar fisika. Salah satu penyebab permasalahan tersebut adalah ketidaksesuaian model yang digunakan guru dalam proses pembelajaran, sehingga perlu diterapkan model yang sesuai untuk mengatasi masalah yang ditemukan. Salah satu model yang sesuai untuk mengatasi masalah yang ditemukan yaitu model Exampel Non Exampel. Penelitian ini berujuan untuk mengetahui seberapa besar penga

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Fu, Yingjie, Bozhou Li, Linyi Li, Wentao Zhang, and Tao Xie. "The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-Based Code Generation." Proceedings of the ACM on Software Engineering 2, ISSTA (2025): 1583–606. https://doi.org/10.1145/3728947.

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The capabilities of Large Language Models (LLMs) in code generation have been extensively studied, particularly for implementing target functionalities from natural-language descriptions. As an alternative to natural language, input-output (I/O) examples provide an accessible, unambiguous, and flexible way to describe functionalities. However, their inherent diversity, opaqueness, and incompleteness impose greater challenges for understanding and implementing the target requirements. Therefore, generating code from I/O examples (i.e., example-based code generation) provides a new perspective,

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Corral, Daniel, and Shana K. Carpenter. "Facilitating transfer through incorrect examples and explanatory feedback." Quarterly Journal of Experimental Psychology 73, no. 9 (2020): 1340–59. http://dx.doi.org/10.1177/1747021820909454.

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This article examines whether studying correct versus incorrect examples produces differential learning. A prediction that follows from behaviourism is that learning should be best from studying correct examples. A contrasting prediction is that incorrect examples can highlight a concept’s properties that are missing in the example, and thereby enable concept learning. We test these ideas across two experiments, wherein subjects were shown hypothetical study scenarios and were asked to determine whether each was a true experiment. In Experiment 1, some subjects were only presented correct exam

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Dinca, Nadia Luiza. "THE INTERNAL RULES OF THE EXAMPLE DATABASE DESIGN." Professional Communication and Translation Studies 3 (May 9, 2023): 67–74. http://dx.doi.org/10.59168/wtnf8464.

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One of the internal rules of the example-based translation is the dependence of the translation quality on the length and representation of translation examples. These are managed by an example database, for which the linguist should answer two questions when s/he intends to design it: (1) what is the representation chosen for the translation example? and (2) what are the possibilities to generalize the translation examples stored in the database? In this paper my intent is to propose two answers, in fact – a synergetical research direction for Romanian, English and French language. I will con

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Huang, Shuaina, Zhiyong Zhang, and Bin Song. "A Novel Adversarial Example Detection Method Based on Frequency Domain Reconstruction for Image Sensors." Sensors 24, no. 17 (2024): 5507. http://dx.doi.org/10.3390/s24175507.

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Convolutional neural networks (CNNs) have been extensively used in numerous remote sensing image detection tasks owing to their exceptional performance. Nevertheless, CNNs are often vulnerable to adversarial examples, limiting the uses in different safety-critical scenarios. Recently, how to efficiently detect adversarial examples and improve the robustness of CNNs has drawn considerable focus. The existing adversarial example detection methods require modifying CNNs, which not only affects the model performance but also greatly enhances training cost. With the purpose of solving these problem

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Lopes, Artur, and Sílvia Lopes. "Parametric estimation and spectral analysis of piecewise linear maps of the interval." Advances in Applied Probability 30, no. 3 (1998): 757–76. http://dx.doi.org/10.1239/aap/1035228128.

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We present an estimation procedure and analyse spectral properties of stochastic processes of the kind Zt = Xt + ξt = ϕ(Tt(ψ)) + ξt, for t ∊ Z, where T is a deterministic map, ϕ is a given function and ξt is a noise process. The examples considered in this paper generalize the classical harmonic model Zt = Acos(ω0t + ψ) + ξt, for t ∊ Z. Two examples are developed at length. In the first one, the spectral measure is discrete and in the second it is continuous. In the second example, the time series is obtained from a chaotic map. These two examples exhibit the extremal cases of different possib

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Liu, Tao, Xiaoyong Du, Yongdong Xu, Minghui Li, and Xiaolong Wang. "Partially Supervised Text Classification with Multi-Level Examples." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 890–95. http://dx.doi.org/10.1609/aaai.v25i1.7969.

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Partially supervised text classification has received great research attention since it only uses positive and unlabeled examples as training data. This problem can be solved by automatically labeling some negative (and more positive) examples from unlabeled examples before training a text classifier. But it is difficult to guarantee both high quality and quantity of the new labeled examples. In this paper, a multi-level example based learning method for partially supervised text classification is proposed, which can make full use of all unlabeled examples. A heuristic method is proposed to as

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Cesa-Bianchi, Nicolò, Shai Shalev-Shwartz, and Ohad Shamir. "Quantity Makes Quality: Learning with Partial Views." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 1547–50. http://dx.doi.org/10.1609/aaai.v25i1.7953.

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In many real world applications, the number of examples to learn from is plentiful, but we can only obtain limited information on each individual example. We study the possibilities of efficient, provably correct, large-scale learning in such settings. The main theme we would like to establish is that large amounts of examples can compensate for the lack of full information on each individual example. The type of partial information we consider can be due to inherent noise or from constraints on the type of interaction with the data source. In particular, we describe and analyze algorithms for

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Lin, Christopher, Mausam Mausam, and Daniel Weld. "Active Learning with Unbalanced Classes and Example-Generation Queries." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 (June 15, 2018): 98–107. http://dx.doi.org/10.1609/hcomp.v6i1.13334.

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Machine learning in real-world high-skew domains is difficult, because traditional strategies for crowdsourcing labeled training examples are ineffective at locating the scarce minority-class examples. For example, both random sampling and traditional active learning (which reduces to random sampling when just starting) will most likely recover very few minority-class examples. To bootstrap the machine learning process, researchers have proposed tasking the crowd with finding or generating minority-class examples, but such strategies have their weaknesses as well. They are unnecessarily expens

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Bradecki, Tomasz, and Paulina Konsek. "Examples and Concepts of Floating Architecture in the Face of Climate Change - The Example of Szczecin." IOP Conference Series: Materials Science and Engineering 960 (December 10, 2020): 032062. http://dx.doi.org/10.1088/1757-899x/960/3/032062.

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D’Angelo, Jennifer K., Kristin Diehl, and Lisa A. Cavanaugh. "Lead by Example? Custom-Made Examples Created by Close Others Lead Consumers to Make Dissimilar Choices." Journal of Consumer Research 46, no. 4 (2019): 750–73. http://dx.doi.org/10.1093/jcr/ucz019.

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Abstract Prior to customizing for themselves, consumers often encounter products customized by other people within their social network. Our research suggests that when encountering a custom-made example of an identity-related product created by an identified social other, consumers infer this social other was motivated to express uniqueness. After making this inference, consumers are also motivated to express uniqueness, particularly when the example was created by a close versus distant social other. Consumers express uniqueness through their own customization choices, choosing fewer options

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Bolkan, San, and Alan K. Goodboy. "Instruction, example order, and student learning: reducing extraneous cognitive load by providing structure for elaborated examples." Communication Education 69, no. 3 (2019): 300–316. http://dx.doi.org/10.1080/03634523.2019.1701196.

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