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Results 1 - 20 of 1,762  for All Library Resources

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1
A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics
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A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics

The AI magazine, 2017-12, Vol.38 (4), p.13-26 [Peer Reviewed Journal]

2017 The Authors. AI Magazine published by John Wiley & Sons Ltd on behalf of Association for the Advancement of Artificial Intelligence ;COPYRIGHT 2017 American Association for Artificial Intelligence ;COPYRIGHT 2017 American Association for Artificial Intelligence ;ISSN: 0738-4602 ;EISSN: 2371-9621 ;DOI: 10.1609/aimag.v38i4.2744

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2
Natural language inference model for customer advocacy detection in online customer engagement
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Natural language inference model for customer advocacy detection in online customer engagement

Machine learning, 2024-04, Vol.113 (4), p.2249-2275 [Peer Reviewed Journal]

The Author(s) 2023 ;The Author(s) 2023. 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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06476-w

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3
OWL2Vec: embedding of OWL ontologies
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OWL2Vec: embedding of OWL ontologies

Machine learning, 2021-07, Vol.110 (7), p.1813-1845 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. 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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05997-6

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4
Natural language query formalization to SPARQL for querying knowledge bases using Rasa
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Natural language query formalization to SPARQL for querying knowledge bases using Rasa

Progress in artificial intelligence, 2022-09, Vol.11 (3), p.193-206 [Peer Reviewed Journal]

The Author(s) 2021 ;ISSN: 2192-6352 ;EISSN: 2192-6360 ;DOI: 10.1007/s13748-021-00271-1

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5
Regularisation of neural networks by enforcing Lipschitz continuity
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Regularisation of neural networks by enforcing Lipschitz continuity

Machine learning, 2021-02, Vol.110 (2), p.393-416 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. 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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05929-w

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6
A survey on semi-supervised learning
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A survey on semi-supervised learning

Machine learning, 2020-02, Vol.109 (2), p.373-440 [Peer Reviewed Journal]

The Author(s) 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. This work is published under https://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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05855-6

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7
Scalable Bayesian preference learning for crowds
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Scalable Bayesian preference learning for crowds

Machine learning, 2020-04, Vol.109 (4), p.689-718 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. 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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05867-2

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8
High-dimensional Bayesian optimization using low-dimensional feature spaces
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High-dimensional Bayesian optimization using low-dimensional feature spaces

Machine learning, 2020-09, Vol.109 (9-10), p.1925-1943 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05899-z

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9
Machine learning from casual conversation
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Machine learning from casual conversation

Machine learning, 2023-12, Vol.112 (12), p.4789-4836 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06383-0

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10
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Machine learning, 2021-03, Vol.110 (3), p.457-506 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. 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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05946-3

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11
Challenges of real-world reinforcement learning: definitions, benchmarks and analysis
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Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

Machine learning, 2021-09, Vol.110 (9), p.2419-2468 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05961-4

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12
Learning from positive and unlabeled data: a survey
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Article
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Learning from positive and unlabeled data: a survey

Machine learning, 2020-04, Vol.109 (4), p.719-760 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05877-5

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13
Unified SVM algorithm based on LS-DC loss
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Unified SVM algorithm based on LS-DC loss

Machine learning, 2023-08, Vol.112 (8), p.2975-3002 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05996-7

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14
Gradient descent optimizes over-parameterized deep ReLU networks
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Gradient descent optimizes over-parameterized deep ReLU networks

Machine learning, 2020-03, Vol.109 (3), p.467-492 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05839-6

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15
Cognitive architecture for natural language comprehension
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Cognitive architecture for natural language comprehension

Cognitive computation and systems, 2020-03, Vol.2 (1), p.23-31 [Peer Reviewed Journal]

2020 Year Cognitive Computation and Systems published by John Wiley & Sons Ltd on behalf of Shenzhen University ;ISSN: 2517-7567 ;EISSN: 2517-7567 ;DOI: 10.1049/ccs.2019.0017

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16
Adaptive random forests for evolving data stream classification
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Adaptive random forests for evolving data stream classification

Machine learning, 2017-10, Vol.106 (9-10), p.1469-1495 [Peer Reviewed Journal]

The Author(s) 2017 ;Machine Learning is a copyright of Springer, 2017. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5642-8

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17
Multi-target regression via input space expansion: treating targets as inputs
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Multi-target regression via input space expansion: treating targets as inputs

Machine learning, 2016-07, Vol.104 (1), p.55-98 [Peer Reviewed Journal]

The Author(s) 2016 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-016-5546-z

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18
Temporal pattern attention for multivariate time series forecasting
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Temporal pattern attention for multivariate time series forecasting

Machine learning, 2019-09, Vol.108 (8-9), p.1421-1441 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05815-0

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19
Optimal classification trees
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Optimal classification trees

Machine learning, 2017-07, Vol.106 (7), p.1039-1082 [Peer Reviewed Journal]

The Author(s) 2017 ;Machine Learning is a copyright of Springer, 2017. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5633-9

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20
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics
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Article
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Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics

Machine learning, 2023-10, Vol.112 (10), p.3713-3747 [Peer Reviewed Journal]

The Author(s) 2021 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-06019-1

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