A proposal of structural mixture distribution model. its application and basic analysis-

结构混合分布模型的提出。

• 批准号: 21500146
• 负责人: SAKURAI Akito
• 金额: $ 2.83万
• 依托单位: Keio University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21500146/
• 关键词: 知的システムアーキテクチャ; 人工知能; 機械学習; モデル平均; VC次元

For the structural mixture model as a learning model, new methods to estimate mixture coefficients were proposed. It outperformed or was equivalent in performance to existing methods on real datasets evaluation. On price formation in financial markets which are considered efficient, existence of an element model was indicated by simulation trading in the market.

针对结构混合模型作为学习模型，提出了一种新的混合系数估计方法。在真实的数据集上，它的性能优于或等同于现有的方法。在被认为是有效的金融市场中，价格形成的一个元素模型的存在，通过市场中的模拟交易表明。

项目成果

Self-Organization and Aggregation of Undisclosed Knowledge. In Self Organizing Maps-Applications and Novel Algorithm Design

未公开知识的自组织和聚合。

• 发表时间: 2011
• 作者: K Ishikawa;Y Shinozawa;and A Sakurai
• 通讯作者: and A Sakurai

Multiple Kernel Learning on Time Series Data and Social Networks for Stock Price Prediction

用于股票价格预测的时间序列数据和社交网络的多核学习

• 发表时间: 2011
• 作者: Ryosuke Tadano;Kazutaka Shimada;Tsutomu Endo;Deng Shangkun and Sakurai Akito
• 通讯作者: Deng Shangkun and Sakurai Akito

Manifold-Regularized Minimax Probability Machine

• DOI: 10.1007/978-3-642-28258-4_5
• 发表时间: 2011-09
• 作者: K. Yoshiyama;A. Sakurai

Combining Multiple Kernel Learning and Genetic Algorithm for Forecasting Short Time Foreign Exchange Rate

结合多核学习和遗传算法预测短期外汇汇率

• 发表时间: 2011
• 作者: K Yoshiyama;A.Sakurai;Oka Natsuki;鈴木譲;Deng Shangkun and Sakurai Akito
• 通讯作者: Deng Shangkun and Sakurai Akito

Combining Technical Analysis with Sentiment Analysis for Stock Price Prediction

• DOI: 10.1109/dasc.2011.138
• 发表时间: 2011-12
• 期刊: 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
• 作者: Shangkun Deng;Takashi Mitsubuchi;Kei Shioda;Tatsuro Shimada;A. Sakurai