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Cultural Evolution of Precise and Agreed‐Upon Semantic Conventions in a Multiplayer Gaming App
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In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://jeannicod.ccsd.cnrs.fr/ijn_03636720 ; Cognitive Science, Wiley, 2022, 46 (2), ⟨10.1111/cogs.13113⟩ (2022)
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Discriminating Bacterial Infection from Other Causes of Fever Using Body Temperature Entropy Analysis
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In: Entropy; Volume 24; Issue 4; Pages: 510 (2022)
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Monitoring the Evolution of Asynchrony between Mean Arterial Pressure and Mean Cerebral Blood Flow via Cross-Entropy Methods
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In: Entropy; Volume 24; Issue 1; Pages: 80 (2022)
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Entropy Analysis of Heart Rate Variability in Different Sleep Stages
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In: Entropy; Volume 24; Issue 3; Pages: 379 (2022)
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A Review of the Asymmetric Numeral System and Its Applications to Digital Images
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In: Entropy; Volume 24; Issue 3; Pages: 375 (2022)
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Entropy and Semi-Entropies of Regular Symmetrical Triangular Interval Type-2 Fuzzy Variables
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In: Symmetry; Volume 14; Issue 5; Pages: 930 (2022)
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Adjacency-Information-Entropy-Based Cooperative Name Resolution Approach in ICN
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In: Future Internet; Volume 14; Issue 3; Pages: 68 (2022)
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Improved Intuitionistic Fuzzy Entropy and Its Application in the Evaluation of Regional Collaborative Innovation Capability
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In: Sustainability; Volume 14; Issue 5; Pages: 3129 (2022)
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Predicting the Success of Internet Social Welfare Crowdfunding Based on Text Information
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1572 (2022)
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An Information Theoretic Approach to Symbolic Learning in Synthetic Languages
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In: Entropy; Volume 24; Issue 2; Pages: 259 (2022)
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Abstract:
An important aspect of using entropy-based models and proposed “synthetic languages”, is the seemingly simple task of knowing how to identify the probabilistic symbols. If the system has discrete features, then this task may be trivial; however, for observed analog behaviors described by continuous values, this raises the question of how we should determine such symbols. This task of symbolization extends the concept of scalar and vector quantization to consider explicit linguistic properties. Unlike previous quantization algorithms where the aim is primarily data compression and fidelity, the goal in this case is to produce a symbolic output sequence which incorporates some linguistic properties and hence is useful in forming language-based models. Hence, in this paper, we present methods for symbolization which take into account such properties in the form of probabilistic constraints. In particular, we propose new symbolization algorithms which constrain the symbols to have a Zipf–Mandelbrot–Li distribution which approximates the behavior of language elements. We introduce a novel constrained EM algorithm which is shown to effectively learn to produce symbols which approximate a Zipfian distribution. We demonstrate the efficacy of the proposed approaches on some examples using real world data in different tasks, including the translation of animal behavior into a possible human language understandable equivalent.
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Keyword:
behavior prediction; entropy; information theoretic models; language models; synthetic language; Zipf–Mandelbrot–Li law
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URL: https://doi.org/10.3390/e24020259
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12 |
Concurrent hidden structure & grammar learning
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In: Proceedings of the Society for Computation in Linguistics (2022)
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13 |
Revisiting Shao and Sokal's B-2 index of phylogenetic balance
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In: ISSN: 0303-6812 ; EISSN: 1432-1416 ; Journal of Mathematical Biology ; https://hal.archives-ouvertes.fr/hal-03338837 ; Journal of Mathematical Biology, Springer Verlag (Germany), 2021, 83 (5), ⟨10.1007/s00285-021-01662-7⟩ (2021)
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14 |
A precise bare simulation approach to the minimization of some distances. Foundations
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In: https://hal.archives-ouvertes.fr/hal-03278232 ; 2021 (2021)
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15 |
On the Role of Low-Level Linguistic Tasks for Reading Time Prediction
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43) ; 43rd Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03303689 ; 43rd Annual Meeting of the Cognitive Science Society, Jul 2021, Vienna, Austria. pp.452 ; https://cognitivesciencesociety.org/cogsci-2021/ (2021)
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16 |
A realisational and implemented description of Asama's verb paradigms
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In: Inflectional reflections ; https://hal.archives-ouvertes.fr/hal-03481846 ; Inflectional reflections, SeDYL, Dec 2021, Paris, France (2021)
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A quantitative perspective on Japanese accent
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In: 34th Paris Meeting on East Asian Linguistics ; https://hal.archives-ouvertes.fr/hal-03283679 ; 34th Paris Meeting on East Asian Linguistics, Jul 2021, Paris, France (2021)
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19 |
Automatic Representative View Selection of a 3D Cultural Relic Using Depth Variation Entropy and Depth Distribution Entropy
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In: Entropy; Volume 23; Issue 12; Pages: 1561 (2021)
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Determination of Parameters for an Entropy-Based Atrial Fibrillation Detector
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In: Entropy ; Volume 23 ; Issue 9 (2021)
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