Wide Range Application of Status Evaluation Function

状态评估功能的广泛应用

• 批准号: 17500086
• 负责人: KAWAI Satoru
• 金额: $ 2.24万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2005
• 资助国家: 日本
• 起止时间: 2005 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-17500086/
• 关键词: evaluation functions; dynamic evaluator; knowledge acquisition; state transition rules; Galois lattice; reflective calculation; non-wellfounded set; aspect; 機械学習; モデル化

The main and final target of this research is the automatic construction of evaluators by learning, integrating state evaluation by learning, concept formation, and creation of efficient evaluators. Main results of the component researches follow.1. Automatic construction of evaluation functionsThe evaluation functions are constructed, without human preparation, only from the basic rules and framework of the target field. The essential part of this construction is the automatic creation of simple data sets for state evaluation, followed by the selection based on the appropriateness of the data. Construction process is speed-up by the factor of 100,000, enabling many iteration of evaluation. Precise evaluation functions are obtained by the analysis of bulk data for states evaluation.2. Concept formation and structure analysisThe structure of Galois lattices, based on a partial order defined among the set of simple piecewise statuses, is studied as a framework of concepts. In this research, semistructured data, frequently found in the real world, is also studied. The "summary structure" can be extracted from such "non-well ordered structure" by an analytical method.3. Reflection and aspectsIn the target system of this research, a lot of software agents for state evaluation are to be prepared by the method of reflection. These agents are expected to act optimally in the real evaluation referring the concept database. In this research, the framework of aspect oriented programming is studied for interclass function increments. Some results in support. systems and theoretical framework in aspect oriented programming are obtained.

这项研究的主要目标和最终目标是通过学习，概念形成和有效评估者的创建来自动构建评估者，整合国家评估。组件研究的主要结果如下1。评估功能的自动构造仅根据目标字段的基本规则和框架来构建评估功能。该构建的基本部分是自动创建简单数据集以进行状态评估，然后根据数据的适当性进行选择。施工过程的速度为100,000，从而使许多迭代评估。精确的评估功能是通过分析批量评估的分析获得的。2。概念形成和结构分析基于简单的分段状态中定义的部分顺序，Galois Lattices的结构被研究为概念框架。在这项研究中，还研究了在现实世界中经常发现的半结构化数据。可以通过分析方法从这种“非井有序结构”中提取“摘要结构” 3。反思和方面是这项研究的目标系统，许多用于国家评估的软件代理将通过反思方法准备。预计这些代理将在参考概念数据库的实际评估中最佳起作用。在这项研究中，研究了面向方面的编程的框架以增加类间功能的增量。一些结果得到支持。获得了面向方面的编程中的系统和理论框架。

项目成果

Linear Multilayer ICA Generating Hierarchical Edge Detectors

• DOI: 10.1162/neco.2007.19.1.218
• 发表时间: 2007
• 期刊: Neural Computation
• 影响因子: 2.9
• 作者: Yoshitatsu Matsuda;K. Yamaguchi

新規節点で深さ優先探索を利用するdf-pnアルゴリズム

使用深度优先搜索新节点的 df-pn 算法

• 发表时间: 2005
• 期刊: 第10回ゲーム・プログラミングワークショップ
• 作者: Yamaguchi;T.;Koji;M.;Shiba;H.;Shimamura;K.;櫻井 孝平;金子知適
• 通讯作者: 金子知適

A Parameterized Interpreter for Modeling Different AOP Mechanisms

用于建模不同 AOP 机制的参数化解释器

• 发表时间: 2005
• 期刊: 2005 IEEE/ACM International Conference on Automated Software Engineering
• 作者: Ubayashi;N.
• 通讯作者: N.

連想アスペクトによるアプリケーション連携の記述改善評価

使用关联方面评估应用程序链接描述改进

• 发表时间: 2005
• 期刊: コンピュータソフトウェア 22・3
• 作者: Yamaguchi;T.;Koji;M.;Shiba;H.;Shimamura;K.;櫻井 孝平
• 通讯作者: 櫻井 孝平

An Efficient MDS Algorithm for the Analysis of Massive Document Collections

• DOI: 10.1007/11552451_140
• 发表时间: 2005-09
• 作者: Yoshitatsu Matsuda;K. Yamaguchi