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Machine learning in document analysis and recognition
Machine learning in document analysis and recognition
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Livro 		Adicionar ao Meu Espaço

Machine learning in document analysis and recognition

Simone Marinai; Hiromichi Fujisawa

Berlin Springer c2008

Localização: IME - Inst. Matemática e Estatística    (QA860.C3 M337m )(Acessar)

2
Pattern classification using ensemble methods
Pattern classification using ensemble methods
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Pattern classification using ensemble methods

Lior Rokach

Hackensack, NJ World Scientific c2010

Localização: ICMC - Inst. Ciên. Mat. Computação    (68T45.20 R742pr e.1 ) e outros locais(Acessar)

3
Machine learning and data mining in pattern recognition 4th international conference, MLDM 2005, Leipzig, Germany, July 9-11 2005 : proceedings
Machine learning and data mining in pattern recognition 4th international conference, MLDM 2005, Leipzig, Germany, July 9-11 2005 : proceedings
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Machine learning and data mining in pattern recognition 4th international conference, MLDM 2005, Leipzig, Germany, July 9-11 2005 : proceedings

MLDM 2005 (2005 Leipzig, Germany) Petra Perner; Atsushi Imiya; Industrial Conference on Data Mining (2005 Leipzig, Germany)

Berlin Springer New York c2005

Acesso online. A biblioteca também possui exemplares impressos.

4
A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing
A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing
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A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

van de Burgt, Yoeri ; Lubberman, Ewout ; Fuller, Elliot J ; Keene, Scott T ; Faria, Grégorio C ; Agarwal, Sapan ; Marinella, Matthew J ; Alec Talin, A ; Salleo, Alberto

Nature materials, 2017-04, Vol.16 (4), p.414-418 [Periódico revisado por pares]

England: Nature Publishing Group

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5
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
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Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

Guo, Xiaojie ; Chen, Liang ; Shen, Changqing

Measurement : journal of the International Measurement Confederation, 2016-11, Vol.93, p.490-502 [Periódico revisado por pares]

London: Elsevier Ltd

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6
Pattern recognition in building energy performance over time using energy benchmarking data
Pattern recognition in building energy performance over time using energy benchmarking data
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Pattern recognition in building energy performance over time using energy benchmarking data

Papadopoulos, Sokratis ; Bonczak, Bartosz ; Kontokosta, Constantine E.

Applied energy, 2018-07, Vol.221, p.576-586 [Periódico revisado por pares]

Elsevier Ltd

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7
Cost-sensitive probabilistic predictions for support vector machines
Cost-sensitive probabilistic predictions for support vector machines
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Cost-sensitive probabilistic predictions for support vector machines

Benítez-Peña, Sandra ; Blanquero, Rafael ; Carrizosa, Emilio ; Ramírez-Cobo, Pepa

European journal of operational research, 2024-04, Vol.314 (1), p.268-279 [Periódico revisado por pares]

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8
Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels
Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels
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Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels

Zhu, Bangzhu ; Ye, Shunxin ; Wang, Ping ; Chevallier, Julien ; Wei, Yi‐Ming

Journal of forecasting, 2022-01, Vol.41 (1), p.100-117 [Periódico revisado por pares]

Chichester: Wiley Periodicals Inc

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9
Human-building interaction under various indoor temperatures through neural-signal electroencephalogram (EEG) methods
Human-building interaction under various indoor temperatures through neural-signal electroencephalogram (EEG) methods
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Human-building interaction under various indoor temperatures through neural-signal electroencephalogram (EEG) methods

Shan, Xin ; Yang, En-Hua ; Zhou, Jin ; Chang, Victor W.-C.

Building and environment, 2018-02, Vol.129, p.46-53 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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10
A review for cervical histopathology image analysis using machine vision approaches
A review for cervical histopathology image analysis using machine vision approaches
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A review for cervical histopathology image analysis using machine vision approaches

Li, Chen ; Chen, Hao ; Li, Xiaoyan ; Xu, Ning ; Hu, Zhijie ; Xue, Dan ; Qi, Shouliang ; Ma, He ; Zhang, Le ; Sun, Hongzan

The Artificial intelligence review, 2020-10, Vol.53 (7), p.4821-4862 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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Deste Autor:

  1. Industrial Conference on Data Mining
  2. Imiya, A
  3. Rokach, L
  4. MLDM 2005
  5. Perner, P

Neste Assunto:

  1. Mustererkennung
  2. Machine Learning
  3. Machine Learning
  4. Science & Technology
  5. Pattern Recognition

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