Ecml Pkdd 2018 Workshops Midas 2018 And Pap 2018, Dublin, Ireland, September 1014, 2018, Proceedings 11054 Lecture Notes In Computer Science
Carlos Alzate
Resumo
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Ecml Pkdd 2018 Workshops Midas 2018 And Pap 2018, Dublin, Ireland, September 1014, 2018, Proceedings 11054 Lecture Notes In Computer Science
A Multivariate and Multi-step ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting.- Calibrating the Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks.- Deep Factor ModelExplaining Deep Learning Decisions for Forecasting Stock Returns with Layer-wise Relevance Propagation.- A Comparison of Neural Network Methods for Accurate...
A Multivariate and Multi-step ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting.- Calibrating the Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks.- Deep Factor ModelExplaining Deep Learning Decisions for Forecasting Stock Returns with Layer-wise Relevance Propagation.- A Comparison of Neural Network Methods for Accurate...
Ecml Pkdd 2018 Workshops Midas 2018 And Pap 2018, Dublin,...
Resumo
Ecml Pkdd 2018 Workshops Midas 2018 And Pap 2018, Dublin, Ireland, September 1014, 2018, Proceedings 11054 Lecture Notes In Computer Science
A Multivariate and Multi-step ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting.- Calibrating the Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks.- Deep Factor ModelExplaining Deep Learning Decisions for Forecasting Stock Returns with Layer-wise Relevance Propagation.- A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets.- A Progressive Resampling Algorithm for Finding Very Sparse Investment Portfolios.- ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations.- Testing for Self-excitation in Financial Events: A Bayesian Approach.- A Web Crawling Environment to Support Financial Strategies and Trend Correlation.- A differential privacy workflow for inference of parameters in the Rasch model.- Privacy Preserving Client/Vertical-Servers Classification.- Privacy Risk for Individual Basket Patterns.- Exploring Students Eating Habits through Individual Profiling and Clustering Analysis.
Nº de Páginas:
Encadernação: Capa Mole / Paperback
Tema: Artificial intelligence
A Multivariate and Multi-step ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting.- Calibrating the Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks.- Deep Factor ModelExplaining Deep Learning Decisions for Forecasting Stock Returns with Layer-wise Relevance Propagation.- A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets.- A Progressive Resampling Algorithm for Finding Very Sparse Investment Portfolios.- ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations.- Testing for Self-excitation in Financial Events: A Bayesian Approach.- A Web Crawling Environment to Support Financial Strategies and Trend Correlation.- A differential privacy workflow for inference of parameters in the Rasch model.- Privacy Preserving Client/Vertical-Servers Classification.- Privacy Risk for Individual Basket Patterns.- Exploring Students Eating Habits through Individual Profiling and Clustering Analysis.
Nº de Páginas:
Encadernação: Capa Mole / Paperback
Tema: Artificial intelligence
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Ecml Pkdd 2018 Workshops Midas 2018 And Pap 2018, Dublin, Ireland, September 1014, 2018, Proceedings 11054 Lecture Notes In Computer Science
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Características
- Editora
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Springer
- Idiomas
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Inglês
- Data de lançamento
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07/02/2019
- Peso
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266,0
- Colecção
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Artificial intelligence
- Série/Edição Limitada
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1st ed. 2019
- EAN
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9783030134624
Publicidade
Publicidade