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1
Optimal alphabet for single text compression ...
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2
A novel source-filter stochastic model for voice production
In: ISSN: 0892-1997 ; Journal of Voice ; https://hal-upec-upem.archives-ouvertes.fr/hal-03179837 ; Journal of Voice, Elsevier, 2021, In Press, pp.1-11. ⟨10.1016/j.jvoice.2020.11.015⟩ (2021)
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3
Writing At the Horizon: How Producing Imagined Narratives Affects Mood
In: Senior Projects Fall 2021 (2021)
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4
Symbolic Model-based Design and Generation of Logical Scenarios for Autonomous Vehicles Validation
In: 2021 IEEE Intelligent Vehicles Symposium (IV) ; https://hal.archives-ouvertes.fr/hal-03540190 ; 2021 IEEE Intelligent Vehicles Symposium (IV), Jul 2021, Nagoya, Japan. pp.215-222, ⟨10.1109/IV48863.2021.9575528⟩ (2021)
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Learning a weather dictionary of atmospheric patterns using Latent Dirichlet Allocation
In: https://hal.archives-ouvertes.fr/hal-03258523 ; 2021 (2021)
Abstract: Mid-latitude circulation dynamics is often described in terms of weather regimes, represented by atmospheric field configurations extracted using pattern recognition techniques. Each pattern is given by a given combination of distinct elements, corresponding to synoptic objects (cyclones and anticyclones). Such intrication makes it arduous to detect or quantify shifts in atmospheric circulation - possibly due to anthropogenic forcings - impacting recurrence and intensity of climate extremes. Here we apply Latent Dirichlet Allocation (LDA), typically used for topic modeling in linguistic studies, to build a weather dictionary: in analogy with linguistics, we define daily maps of a gridded target observable as documents, and the grid-points composing the map as words. LDA provides a representation of documents in terms of a combination of spatial patterns named motifs, which are latent patterns inferred from the set of snapshots. For atmospheric data, we find that motifs correspond to pure synoptic objects (cyclones and anticyclones), that can be seen as building blocks of weather regimes. We show that LDA weights provide a natural way to characterize the impact of climate change on the recurrence of regimes associated with extreme events.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis; [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; Statistics and Probability [physics.data-an]
URL: https://hal.archives-ouvertes.fr/hal-03258523/file/Fery_et_al_LDA_NG.pdf
https://hal.archives-ouvertes.fr/hal-03258523
https://hal.archives-ouvertes.fr/hal-03258523/document
https://doi.org/10.21203/rs.3.rs-608588/v1
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6
Neural Network Reconstruction of Late-Time Cosmology and Null Tests ...
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7
Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ...
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8
The Fundamental Limit Theorem of Countable Markov Chains
In: Senior Honors Theses (2021)
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9
Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting
Chou, Hsiao-Chuan. - : Digital Commons @ University of South Florida, 2021
In: Graduate Theses and Dissertations (2021)
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10
Free Energy: A User's Guide
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11
Information flow, artificial phonology and typology
In: Proceedings of the Society for Computation in Linguistics (2021)
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12
Heaps' law and Heaps functions in tagged texts: Evidences of their linguistic relevance ...
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13
Predictive Validity of Standards-based and Curriculum-embedded Assessments for Predicting Readiness at Kindergarten Entry
DeCamilla, Elizabeth Ashton. - : Digital Commons @ University of South Florida, 2020
In: Graduate Theses and Dissertations (2020)
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14
Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory ...
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15
The brevity law as a scaling law, and a possible origin of Zipf's law for word frequencies ...
Corral, Alvaro; Serra, Isabel. - : arXiv, 2019
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16
Multilabel text classification of public procurements using deep learning intent detection ; Textklassificering av offentliga upphandlingar med djupa artificiella neuronnät och avsåtsdetektering
Suta, Adin. - : KTH, Matematisk statistik, 2019
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17
LSTM vs Random Forest for Binary Classification of Insurance Related Text ; LSTM vs Random Forest för binär klassificering av försäkringsrelaterad text
Kindbom, Hannes. - : KTH, Matematisk statistik, 2019
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18
The flow of ideologies between a political figure and a militant community: a CMC corpora analysis
In: 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora ; https://hal.archives-ouvertes.fr/hal-01872152 ; 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora, Sep 2018, Anvers, Belgium (2018)
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19
Statistical Physics of Language Maps in the USA ...
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20
Telling apart Felidae and Ursidae from the distribution of nucleotides in mitochondrial DNA ...
Rovenchak, Andrij. - : arXiv, 2018
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