1. Prediction, learning and games 这本书里面讲的 prediction 主要是序列的预测,大致 setting 如下:考虑预测一个时间离散的序列,每个时刻 t,有若干个专家(expert)来给出对于该时刻可能出现状态的预测,玩家结合这些『建议』来决定一个预测,然后该时刻的实际序列被揭晓,根据预测的准确性,玩家会遭受一个损失。预测的...
Prediction, Learning, and Games 作者:Nicolo Cesa-Bianchi/Gabor Lugosi 出版社:Cambridge University Press 出版年:2006-3-13 页数:408 定价:GBP 57.00 装帧:Hardcover ISBN:9780521841085 豆瓣评分 8.5 19人评价 5星 47.4% 4星 42.1% 3星 10.5% 2星
(2006). Prediction, Learning, and Games. Cambridge University Press, New York, NY, USA.N. Cesa-Bianchi and G. Lugosi. Prediction, learning, and games. Cambridge University Press, 2006.Cesa-Bianchi, N. and G. Lugosi (2006). Prediction, Learning, and Games. Cambridge University Press, Cam...
machine learning) (for reviews, see Refs.21,22). Machine learning methods utilizing these datasets have achieved classification accuracy of 93–98% in distinguishing between AD and healthy controls (HC)24,25. However, one of the limitations of the previous ...
A great deal of enthusiasm has accompanied the potential application of deep learning34 and artificial intelligence to outperform humans in image recognition,35,36 text recognition,37,38 and games,39 including checkers40 and Go.41 However, within the health care setting, the so-called black box ...
Big data fusion intelligence is the core issue of data science and engineering. This study will first analyze the connotation of big data fusion from the perspective of complex systems. The new research perspective of deep learning technology and the new technology trend of granular processing in ...
One of the main impediments for widespread adoption of advanced Machine Learning and Deep Learning in healthcare is lack of interpretability [5], [6]. There seems to be a trade-off between predictive accuracy and interpretability in the landscape of learning algorithms, and in the case of Deep...
Next, a random forest algorithm was introduced to extract and construct the features of players and combined with the voting integrated model to predict the all-star players, using Grid-SearchCV, to optimize the hyperparameters of each model in integrated learning and then combined with five-fold...
In the project, combined with big data and machine learning, we explored and developed a software. The software can predict the outcome of a football match (including winning and losing results) in multiple dimensions based on the odds offered by major gambling companies. At present, the ...
Challenges in representation learning: a report on three machine learning contests[J] Neural Network Society, 64 (2015), pp. 59-63 View PDFView articleView in ScopusGoogle Scholar [33] G.G. Wang Target threat assessment using intelligence algorithms[D] Changchun Institute of Optics, Fine Mechani...