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1
American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation
In: Sensors ; Volume 21 ; Issue 17 (2021)
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2
Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®
In: Multimodal Technologies and Interaction ; Volume 4 ; Issue 1 (2020)
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3
La potenciación descortés del desacuerdo en hablantes españoles e ingleses ; Impolite boosting of disagreement in Spanish and English speakers
Fernández-García, Francisco. - : Publicacions de la Universitat Jaume I, 2020
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4
Interactional Metadiscourse In Doctoral Thesis Writing: A Study in Kenya
In: Applied Linguistics Research Journal, Vol 4, Iss 4, Pp 100-113 (2020) (2020)
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5
Computing Happiness from Textual Data
In: Stats ; Volume 2 ; Issue 3 ; Pages 25-370 (2019)
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6
Arabic-SOS: Segmentation, stemming, and orthography standardization for classical and pre-modern standard Arabic
Mohamed, Emad; Sayed, Zeeshan. - : ACM, 2019
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7
Computing Happiness from Textual Data
In: 2 ; 3 ; 347 ; 370 (2019)
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8
Open-set Speaker Identification
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9
IRISA at DeFT2017 : classification systems of increasing complexity ; Participation de l'IRISA à DeFT2017 : systèmes de classification de complexité croissante
In: DeFT 2017 - Défi Fouille de texte ; https://hal.archives-ouvertes.fr/hal-01643993 ; DeFT 2017 - Défi Fouille de texte, Jun 2017, Orléans, France. pp.1-10 (2017)
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10
The Functions of Narrative Passages in Three Written Online Health Contexts
In: Open Linguistics, Vol 2, Iss 1 (2016) (2016)
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11
ОБЗОР МЕТОДОВ И АЛГОРИТМОВ РАЗРЕШЕНИЯ ЛЕКСИЧЕСКОЙ МНОГОЗНАЧНОСТИ: ВВЕДЕНИЕ
КАУШИНИС ТАТЬЯНА ВИКТОРОВНА; КИРИЛЛОВ АЛЕКСАНДР НИКОЛАЕВИЧ; КОРЖИЦКИЙ НИКИТА ИВАНОВИЧ. - : Учреждение Российской академии наук Карельский научный центр Российской академии наук, 2015
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12
IRISA at DeFT 2015: Supervised and Unsupervised Methods in Sentiment Analysis
In: DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01226528 ; DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015, Jun 2015, Caen, France (2015)
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13
A nonparametric Bayesian perspective for machine learning in partially-observed settings ...
Akova, Ferit. - : IUPUI University Library, 2014
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14
A nonparametric Bayesian perspective for machine learning in partially-observed settings
Akova, Ferit. - 2014
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15
All cumulative semantic interference is not equal: A test of the Dark Side Model of lexical access
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16
Sign Language Recognition using Sub-Units
In: http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/2012/Cooper_JMLR_2012.pdf (2012)
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17
Boosting of fuzzy rules with low quality data
In: http://sci2s.ugr.es/publications/ficheros/JMVLSC2011.pdf (2011)
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18
Adasum: an adaptive model for summarization
In: http://www.cs.fiu.edu/%7Elli003/Sum/CIKM/2008/p901-zhang.pdf (2008)
Abstract: Topic representation mismatch is a key problem in topic-oriented summarization for the specified topic is usually too short to understand/interpret. This paper proposes a novel adaptive model for summarization, AdaSum, under the assumption that the summary and the topic representation can be mutually boosted. Ada-Sum aims to simultaneously optimize the topic representation and extract effective summaries. This model employs a mutual boosting process to minimize the topic representation mismatch for base summarizers. Furthermore, a linear combination of base summarizers is proposed to further reduce the topic representation mismatch from the diversity of base summarizers with a general learning framework. We prove that the training process of AdaSum can enhance the performance measure used. Experimental results on DUC 2007 dataset show that AdaSum significantly outperforms the baseline methods for summarization (e.g. MRP, LexRank, and GSPS).
Keyword: Ada- Sum; Boosting; Experimentation. Keywords Topic-oriented Summarization; General Terms Algorithms; Performance; Topic Representation
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.6151
http://www.cs.fiu.edu/%7Elli003/Sum/CIKM/2008/p901-zhang.pdf
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19
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. Discovery Science 2006
In: http://www.inf.u-szeged.hu/~rfarkas/ds_lnai.pdf (2006)
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20
The ICSI+ Multilingual Sentence Segmentation System
In: DTIC (2006)
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