ECML PKDD 2018 Workshops: MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedin
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- Artikel-Nr.: 10387969
Beschreibung
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 Model-Explaining 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.
Eigenschaften
Breite: | 158 |
Gewicht: | 296 g |
Höhe: | 235 |
Länge: | 11 |
Seiten: | 173 |
Sprachen: | Englisch |
Autor: | Andrea Ferretti, Anna Monreale, Carlos Alzate, Celine Robardet, Francesco Gullo, Guido Caldarelli, Ilaria Bordino, Livio Bioglio, Riccardo Guidotti, Ruggero G. Pensa, Stefano Pascolutti, Tiziano Squartini, Valerio Bitetta |
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