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Results 1 - 20 of 204  for All Library Resources

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1
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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2
Approaching the Symbol Grounding Problem with Probabilistic Graphical Models
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Approaching the Symbol Grounding Problem with Probabilistic Graphical Models

The AI magazine, 2011-12, Vol.32 (4), p.64-76 [Peer Reviewed Journal]

2011 The Authors. AI Magazine published by John Wiley & Sons Ltd on behalf of Association for the Advancement of Artificial Intelligence ;2015 INIST-CNRS ;COPYRIGHT 2011 American Association for Artificial Intelligence ;COPYRIGHT 2011 American Association for Artificial Intelligence ;Copyright Association for the Advancement of Artificial Intelligence Winter 2011 ;ISSN: 0738-4602 ;EISSN: 2371-9621 ;DOI: 10.1609/aimag.v32i4.2384

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3
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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4
Supersparse linear integer models for optimized medical scoring systems
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Supersparse linear integer models for optimized medical scoring systems

Machine learning, 2016-03, Vol.102 (3), p.349-391 [Peer Reviewed Journal]

The Author(s) 2015 ;The Author(s) 2016 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-015-5528-6

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5
Structured learning with constrained conditional models
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Structured learning with constrained conditional models

Machine learning, 2012-09, Vol.88 (3), p.399-431 [Peer Reviewed Journal]

The Author(s) 2012 ;2015 INIST-CNRS ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-012-5296-5

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6
Evaluating time series forecasting models: an empirical study on performance estimation methods
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Evaluating time series forecasting models: an empirical study on performance estimation methods

Machine learning, 2020-11, Vol.109 (11), p.1997-2028 [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/s10994-020-05910-7

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7
Classifier chains for multi-label classification
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Classifier chains for multi-label classification

Machine learning, 2011-12, Vol.85 (3), p.333-359 [Peer Reviewed Journal]

The Author(s) 2011 ;2015 INIST-CNRS ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-011-5256-5

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8
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation
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Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation

Machine learning, 2018-12, Vol.107 (12), p.1895-1922 [Peer Reviewed Journal]

The Author(s) 2018 ;Machine Learning is a copyright of Springer, (2018). All Rights Reserved. © 2018. 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/s10994-018-5714-4 ;PMID: 30393425

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9
Accelerated gradient boosting
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Accelerated gradient boosting

Machine learning, 2019-06, Vol.108 (6), p.971-992 [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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05787-1

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10
Maximum margin partial label learning
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Maximum margin partial label learning

Machine learning, 2017-04, Vol.106 (4), p.573-593 [Peer Reviewed Journal]

The Author(s) 2016 ;Machine Learning is a copyright of Springer, 2017. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-016-5606-4

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11
Propagation kernels: efficient graph kernels from propagated information
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Propagation kernels: efficient graph kernels from propagated information

Machine learning, 2016-02, Vol.102 (2), p.209-245 [Peer Reviewed Journal]

The Author(s) 2015 ;The Author(s) 2016 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-015-5517-9

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12
On evaluating stream learning algorithms
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On evaluating stream learning algorithms

Machine learning, 2013-03, Vol.90 (3), p.317-346 [Peer Reviewed Journal]

The Author(s) 2012 ;2014 INIST-CNRS ;The Author(s) 2013 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-012-5320-9

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13
Emotion in reinforcement learning agents and robots: a survey
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Emotion in reinforcement learning agents and robots: a survey

Machine learning, 2018-02, Vol.107 (2), p.443-480 [Peer Reviewed Journal]

The Author(s) 2017 ;Machine Learning is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5666-0

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14
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model
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Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model

Machine learning, 2013-06, Vol.91 (3), p.325-349 [Peer Reviewed Journal]

The Author(s) 2013 ;2014 INIST-CNRS ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5368-1

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15
Interactive topic modeling
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Interactive topic modeling

Machine learning, 2014-06, Vol.95 (3), p.423-469 [Peer Reviewed Journal]

The Author(s) 2013 ;The Author(s) 2014 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5413-0

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16
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)
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Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)

Machine learning, 2015-06, Vol.99 (3), p.353-372 [Peer Reviewed Journal]

The Author(s) 2014 ;The Author(s) 2015 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-014-5456-x

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17
Manifestations of user personality in website choice and behaviour on online social networks
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Manifestations of user personality in website choice and behaviour on online social networks

Machine learning, 2014-06, Vol.95 (3), p.357-380 [Peer Reviewed Journal]

The Author(s) 2013 ;The Author(s) 2014 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5415-y

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18
From machine learning to machine reasoning: An essay
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From machine learning to machine reasoning: An essay

Machine learning, 2014-02, Vol.94 (2), p.133-149 [Peer Reviewed Journal]

The Author(s) 2013 ;2015 INIST-CNRS ;The Author(s) 2014 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5335-x ;CODEN: MALEEZ

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19
Considerations when learning additive explanations for black-box models
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Considerations when learning additive explanations for black-box models

Machine learning, 2023-09, Vol.112 (9), p.3333-3359 [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/s10994-023-06335-8

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20
A topological insight into restricted Boltzmann machines
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A topological insight into restricted Boltzmann machines

Machine learning, 2016-09, Vol.104 (2-3), p.243-270 [Peer Reviewed Journal]

The Author(s) 2016 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-016-5570-z

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