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Results 1 - 20 of 1,361  for All Library Resources

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1
Predicting Stock Market Time-Series Data using CNN-LSTM Neural Network Model
Predicting Stock Market Time-Series Data using CNN-LSTM Neural Network Model
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Predicting Stock Market Time-Series Data using CNN-LSTM Neural Network Model

arXiv.org, 2023-05

2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.14378

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2
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

arXiv.org, 2016-03

2016. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1603.04467

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3
Toward Quantum Machine Translation of Syntactically Distinct Languages
Toward Quantum Machine Translation of Syntactically Distinct Languages
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Toward Quantum Machine Translation of Syntactically Distinct Languages

arXiv.org, 2023-07

2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2307.16576

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4
What can we learn from Semantic Tagging?
What can we learn from Semantic Tagging?
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What can we learn from Semantic Tagging?

arXiv.org, 2018-08

2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1808.09716

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5
Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach
Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach
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Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach

arXiv.org, 2024-03

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.05982

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6
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
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A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

arXiv.org, 2019-02

2019. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1709.03082

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7
TableQuery: Querying tabular data with natural language
TableQuery: Querying tabular data with natural language
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TableQuery: Querying tabular data with natural language

arXiv.org, 2022-01

2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2202.00454

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8
Sequence Classification with Neural Conditional Random Fields
Sequence Classification with Neural Conditional Random Fields
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Sequence Classification with Neural Conditional Random Fields

arXiv.org, 2016-02

2016. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1602.02123

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9
TextMage: The Automated Bangla Caption Generator Based On Deep Learning
TextMage: The Automated Bangla Caption Generator Based On Deep Learning
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TextMage: The Automated Bangla Caption Generator Based On Deep Learning

arXiv.org, 2020-10

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2010.08066

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10
DNF-Net: A Neural Architecture for Tabular Data
DNF-Net: A Neural Architecture for Tabular Data
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DNF-Net: A Neural Architecture for Tabular Data

arXiv.org, 2020-06

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2006.06465

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11
Tailoring Artificial Neural Networks for Optimal Learning
Tailoring Artificial Neural Networks for Optimal Learning
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Tailoring Artificial Neural Networks for Optimal Learning

arXiv.org, 2020-02

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1707.02469

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12
Learning to Skim Text
Learning to Skim Text
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Learning to Skim Text

arXiv.org, 2017-04

2017. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1704.06877

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13
Clipping free attacks against artificial neural networks
Clipping free attacks against artificial neural networks
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Clipping free attacks against artificial neural networks

arXiv.org, 2018-03

2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1803.09468

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14
Type-aware Convolutional Neural Networks for Slot Filling
Type-aware Convolutional Neural Networks for Slot Filling
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Type-aware Convolutional Neural Networks for Slot Filling

The Journal of artificial intelligence research, 2019-01, Vol.66, p.297-339 [Peer Reviewed Journal]

2019. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1.11725

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15
Exploring Different Dimensions of Attention for Uncertainty Detection
Exploring Different Dimensions of Attention for Uncertainty Detection
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Exploring Different Dimensions of Attention for Uncertainty Detection

arXiv.org, 2017-01

2017. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1612.06549

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16
TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics
TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics
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TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics

arXiv.org, 2023-03

2023. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2303.12914

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17
Transformers in Reinforcement Learning: A Survey
Transformers in Reinforcement Learning: A Survey
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Transformers in Reinforcement Learning: A Survey

arXiv.org, 2023-07

2023. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2307.05979

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18
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
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DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2303.04878

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19
Generating Text through Adversarial Training using Skip-Thought Vectors
Generating Text through Adversarial Training using Skip-Thought Vectors
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Generating Text through Adversarial Training using Skip-Thought Vectors

arXiv.org, 2020-05

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1808.08703

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20
Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction
Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction
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Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction

arXiv.org, 2018-09

2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1810.00660

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