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Date | Name | Thumbnail | Size | User | Description | Versions |
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16:27, 1 July 2018 | 1074356 Fig2.png (file) | 63 KB | Omoreira | Fig. 2 In: Baldi et al., 1999 | 1 | |
19:51, 2 September 2018 | 14047828 Alg551.png (file) | 69 KB | Omoreira | In: Jurgen Schmidhuber (2015). [https://arxiv.org/pdf/1404.7828.pdf "Deep learning in neural networks: An overview"]. Neural networks, 61, 85-117. [https://doi.org/10.1016/j.neunet.2014.09.003 DOI: 10.1016/j.neunet.2014.09.003] [https://arxiv.org/... | 1 | |
22:49, 10 June 2018 | 1707.06799 Fig1.png (file) | 66 KB | Omoreira | Figure 1 In: Nils Reimers, and Iryna Gurevych. (2017). [https://arxiv.org/pdf/1707.06799.pdf "Optimal hyperparameters for deep lstm-networks for sequence labeling tasks"]. arXiv preprint [https://arxiv.org/abs/1707.06799 arXiv:1707.06799]. | 1 | |
23:03, 10 June 2018 | 1707.06799 Fig7.png (file) | 87 KB | Omoreira | Figure 7 In: Nils Reimers, and Iryna Gurevych. (2017). [https://arxiv.org/pdf/1707.06799.pdf "Optimal hyperparameters for deep lstm-networks for sequence labeling tasks"]. arXiv preprint [https://arxiv.org/abs/1707.06799 arXiv:1707.06799]. | 1 | |
23:04, 10 June 2018 | 1707.06799 Tab12.png (file) | 55 KB | Omoreira | Tab 12 In: Nils Reimers, and Iryna Gurevych. (2017). [https://arxiv.org/pdf/1707.06799.pdf "Optimal hyperparameters for deep lstm-networks for sequence labeling tasks"]. arXiv preprint [https://arxiv.org/abs/1707.06799 arXiv:1707.06799]. | 1 | |
23:03, 29 July 2018 | 1801.02143 Fig5.png (file) | 159 KB | Omoreira | Fig. 5: SBU-LSTMs architecture necessarily consists of a BDLSTM layer and a LSTM layer. Masking layer for handling missing values and multiple [[LSTM]... | 1 | |
22:03, 9 May 2019 | 1992 ASimpleRulebasedPOSTagger Fig1.png (file) | 26 KB | Omoreira | Brill 1992 | 1 | |
07:09, 11 August 2019 | 1993 AgentOrientedProgramming Fig1.png (file) | 40 KB | Omoreira | '''Fig. 1.''' A flow diagram of a generic agent interpreter. In Shoham (1993) | 1 | |
17:27, 8 August 2021 | 1994 VerbSemanticsandLexicalSelectio Fig2.png (file) | 31 KB | Omoreira | 1 | ||
21:40, 21 January 2020 | 1995 SpaceScaleDiagramsUnderstanding Fig1.png (file) | 57 KB | Omoreira | 1 | ||
07:26, 31 January 2021 | 1996 SNN.png (file) | 45 KB | Omoreira | 1 | ||
09:23, 28 February 2020 | 1996 StatisticalModelsForDeepStructu Fig1.png (file) | 77 KB | Omoreira | 1 | ||
17:39, 8 August 2021 | 1998 AnInformationTheoDefOfSim Fig2.png (file) | 20 KB | Omoreira | 1 | ||
09:07, 28 February 2020 | 1998 LexicalSyntacticAndReferencialD Fig3.png (file) | 46 KB | Omoreira | 1 | ||
16:11, 24 July 2013 | 1999 InductiveLearningofTreebasedReg Algorithm3.1.jpg (file) | 33 KB | Gmelli | http://www.dcc.fc.up.pt/~ltorgo/PhD/th3.pdf Regression trees are constructed using a recursive partitioning (RP) algorithm. This algorithm builds a tree by recursively splitting the training sample into smaller subsets. We give below a hig... | 1 | |
16:12, 24 July 2013 | 1999 InductiveLearningofTreebasedReg Algorithm3.3.jpg (file) | 32 KB | Gmelli | * (Torgo, 1999) ⇒ Luis Torgo. (1999). "[http://www.dcc.fc.up.pt/~ltorgo/PhD/ Inductive Learning of Tree-based Regression Models]." Ph.D. Thesis, Thesis, Faculty of Sciences, University of Porto htt... | 1 | |
02:51, 16 August 2020 | 1999 LargeMarginClassUsingThePerceptAlg Fig1.png (file) | 50 KB | Omoreira | 1 | ||
00:43, 15 November 2019 | 1999 Nayak GYAN Fig4 5.png (file) | 14 KB | Omoreira | 1 | ||
23:36, 14 January 2018 | 1nn pythoncode.png (file) | 30 KB | Omoreira | 1 | ||
06:08, 11 April 2021 | 2000 ModelingOutOfVocabularyWordsFor Fig1.png (file) | 12 KB | Omoreira | 1 | ||
06:25, 11 April 2021 | 2000 ModelingOutOfVocabularyWordsFor Fig2.png (file) | 11 KB | Omoreira | 1 | ||
06:46, 11 April 2021 | 2000 ModelingOutOfVocabularyWordsFor Fig3.png (file) | 21 KB | Omoreira | 1 | ||
07:13, 11 April 2021 | 2000 ModelingOutOfVocabularyWordsFor Fig4.png (file) | 31 KB | Omoreira | 1 | ||
07:13, 11 April 2021 | 2000 ModelingOutOfVocabularyWordsFor Fig5.png (file) | 32 KB | Omoreira | 1 | ||
04:24, 21 December 2019 | 2000 SnowballExtractingRelations Fig2.png (file) | 22 KB | Omoreira | 1 | ||
22:31, 14 November 2018 | 2001 AMachLearnApprToCorefResOfNounPhrases Fig1.png (file) | 48 KB | Omoreira | <B>Figure 1</B> System architecture of natural language processing pipeline. In: Soon et al., (2001) | 1 | |
20:59, 13 March 2019 | 2001 AMachineLearningApproachtoCoref Fig1.png (file) | 45 KB | Omoreira | <B>Figure 1</b> System architecture of natural language processing pipeline. In: Soon et al., (2001) | 1 | |
05:32, 1 April 2020 | 2001 SpottingAndDiscovTerms Fig37.png (file) | 68 KB | Omoreira | 1 | ||
08:50, 28 February 2020 | 2001 ThreeMechanismsOfParserDrivingF Fig1.png (file) | 63 KB | Omoreira | 1 | ||
18:27, 22 November 2020 | 2002 BleuAMethodforAutomaticEvaluati Fig1.png (file) | 14 KB | Omoreira | 1 | ||
18:27, 22 November 2020 | 2002 BleuAMethodforAutomaticEvaluati Fig2.png (file) | 17 KB | Omoreira | 1 | ||
16:56, 22 November 2020 | 2002 BleuAMethodforAutomaticEvaluati Fig3.png (file) | 17 KB | Omoreira | 1 | ||
16:46, 22 November 2020 | 2002 BleuAMethodforAutomaticEvaluati Fig4.png (file) | 19 KB | Omoreira | 1 | ||
16:37, 22 November 2020 | 2002 BleuAMethodforAutomaticEvaluati Fig5.png (file) | 31 KB | Omoreira | 1 | ||
16:37, 22 November 2020 | 2002 BleuAMethodforAutomaticEvaluati Fig6.png (file) | 31 KB | Omoreira | 1 | ||
16:38, 22 November 2020 | 2002 BleuAMethodforAutomaticEvaluati Fig7.png (file) | 33 KB | Omoreira | 1 | ||
08:24, 25 November 2018 | 2002 MaximumCommonSubgraphIsomorphis Fig1a.png (file) | 15 KB | Omoreira | <P>Figure 1. a) Maximum common induced subgraph. In: Raymond & Willett (2002). | 1 | |
08:25, 25 November 2018 | 2002 MaximumCommonSubgraphIsomorphis Fig1b.png (file) | 16 KB | Omoreira | <P>Figure 1. b) Maximum common edge subgraph.. In: Raymond & Willett (2002). | 1 | |
07:33, 25 November 2018 | 2002 MaximumCommonSubgraphIsomorphis Fig2a.png (file) | 17 KB | Omoreira | Figure 2. a) Connected MCES. In: Raymond & Willett (2002) | 1 | |
07:33, 25 November 2018 | 2002 MaximumCommonSubgraphIsomorphis Fig2b.png (file) | 17 KB | Omoreira | Figure 2. b) Disconnected MCES. In: Raymond & Willett (2002) | 1 | |
04:29, 24 November 2018 | 2002 MaximumCommonSubgraphIsomorphis Fig4.png (file) | 16 KB | Omoreira | Figure 4.</B> MCS algorithm classification. In: Raymond & Willett (2002). | 1 | |
06:39, 2 October 2021 | 2003 ComparisonofCentralizedClientSe Fig1.png (file) | 34 KB | Omoreira | 1 | ||
05:52, 2 October 2021 | 2003 ComparisonofCentralizedClientSe Fig2.png (file) | 37 KB | Omoreira | 1 | ||
05:52, 2 October 2021 | 2003 ComparisonofCentralizedClientSe Fig3.png (file) | 38 KB | Omoreira | 1 | ||
07:55, 2 October 2021 | 2003 ComparisonofCentralizedClientSe Fig4.png (file) | 78 KB | Omoreira | 1 | ||
12:51, 27 September 2020 | 2003 StatisticalPhraseBasedTranslati Fig1.png (file) | 29 KB | Omoreira | 1 | ||
12:55, 27 September 2020 | 2003 StatisticalPhraseBasedTranslati Fig2.png (file) | 26 KB | Omoreira | 1 | ||
13:03, 27 September 2020 | 2003 StatisticalPhraseBasedTranslati Fig3.png (file) | 17 KB | Omoreira | 1 | ||
13:09, 27 September 2020 | 2003 StatisticalPhraseBasedTranslati Fig4.png (file) | 22 KB | Omoreira | 1 | ||
13:14, 27 September 2020 | 2003 StatisticalPhraseBasedTranslati Fig5.png (file) | 32 KB | Omoreira | 1 |