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1
Narrative Planning: Balancing Plot and Character
Narrative Planning: Balancing Plot and Character
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Narrative Planning: Balancing Plot and Character

The Journal of artificial intelligence research, , Vol.39, p.217-268 [Peer Reviewed Journal]

2010. 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.2989

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2
A Survey of Paraphrasing and Textual Entailment Methods
A Survey of Paraphrasing and Textual Entailment Methods
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A Survey of Paraphrasing and Textual Entailment Methods

The Journal of artificial intelligence research, , Vol.38, p.135-187 [Peer Reviewed Journal]

2010. 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.2985

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3
The security of machine learning
The security of machine learning
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The security of machine learning

Machine learning, 2010-11, Vol.81 (2), p.121-148 [Peer Reviewed Journal]

The Author(s) 2010 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-010-5188-5

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4
A theory of learning from different domains
A theory of learning from different domains
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A theory of learning from different domains

Machine learning, 2010-05, Vol.79 (1-2), p.151-175 [Peer Reviewed Journal]

The Author(s) 2009 ;The Author(s) 2010 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-009-5152-4

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5
Classifier chains for multi-label classification
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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6
An instance level analysis of data complexity
An instance level analysis of data complexity
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An instance level analysis of data complexity

Machine learning, 2014-05, Vol.95 (2), p.225-256 [Peer Reviewed Journal]

The Author(s) 2013 ;2015 INIST-CNRS ;The Author(s) 2014 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5422-z

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7
Structured learning with constrained conditional models
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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8
Probabilistic (logic) programming concepts
Probabilistic (logic) programming concepts
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Probabilistic (logic) programming concepts

Machine learning, 2015-07, Vol.100 (1), p.5-47 [Peer Reviewed Journal]

The Author(s) 2015 ;ISSN: 0885-6125 ;ISSN: 1573-0565 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-015-5494-z

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9
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
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Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited

Machine learning, 2015-07, Vol.100 (1), p.49-73 [Peer Reviewed Journal]

The Author(s) 2015 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-014-5471-y

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10
A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation
A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation
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A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation

Machine learning, 2014-02, Vol.94 (2), p.233-259 [Peer Reviewed Journal]

The Author(s) 2013 ;2015 INIST-CNRS ;The Author(s) 2014 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5363-6 ;CODEN: MALEEZ

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11
On evaluating stream learning algorithms
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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12
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model
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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13
On label dependence and loss minimization in multi-label classification
On label dependence and loss minimization in multi-label classification
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On label dependence and loss minimization in multi-label classification

Machine learning, 2012-07, Vol.88 (1-2), p.5-45 [Peer Reviewed Journal]

The Author(s) 2012 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-012-5285-8

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14
Interactive topic modeling
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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15
Sequence labeling with multiple annotators
Sequence labeling with multiple annotators
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Sequence labeling with multiple annotators

Machine learning, 2014-05, Vol.95 (2), p.165-181 [Peer Reviewed Journal]

The Author(s) 2013 ;2015 INIST-CNRS ;The Author(s) 2014 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5411-2

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16
Learning from multiple annotators with varying expertise
Learning from multiple annotators with varying expertise
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Learning from multiple annotators with varying expertise

Machine learning, 2014-06, Vol.95 (3), p.291-327 [Peer Reviewed Journal]

The Author(s) 2013 ;The Author(s) 2014 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-013-5412-1

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17
Robustness and generalization
Robustness and generalization
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Robustness and generalization

Machine learning, 2012-03, Vol.86 (3), p.391-423 [Peer Reviewed Journal]

The Author(s) 2011 ;2015 INIST-CNRS ;The Author(s) 2012 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-011-5268-1

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18
Detecting communities and their evolutions in dynamic social networks—a Bayesian approach
Detecting communities and their evolutions in dynamic social networks—a Bayesian approach
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Detecting communities and their evolutions in dynamic social networks—a Bayesian approach

Machine learning, 2011-02, Vol.82 (2), p.157-189 [Peer Reviewed Journal]

The Author(s) 2010 ;The Author(s) 2011 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-010-5214-7

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19
Cutting-plane training of structural SVMs
Cutting-plane training of structural SVMs
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Cutting-plane training of structural SVMs

Machine learning, 2009-10, Vol.77 (1), p.27-59 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2009 ;2009 INIST-CNRS ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-009-5108-8

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20
Dual coordinate descent methods for logistic regression and maximum entropy models
Dual coordinate descent methods for logistic regression and maximum entropy models
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Dual coordinate descent methods for logistic regression and maximum entropy models

Machine learning, 2011-10, Vol.85 (1-2), p.41-75 [Peer Reviewed Journal]

The Author(s) 2010 ;The Author(s) 2011 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-010-5221-8

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