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Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92最新文献

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Constraint satisfaction for production system match 生产系统匹配的约束满足
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246376
M. Perlin
{"title":"Constraint satisfaction for production system match","authors":"M. Perlin","doi":"10.1109/TAI.1992.246376","DOIUrl":"https://doi.org/10.1109/TAI.1992.246376","url":null,"abstract":"An attempt is made to improve production system match by incorporating the arc consistency (AC) algorithm, in the RETE algorithm. This approach combines the constraint graphs of RETE and AC into a single network, which is then incrementally updated. Empirical studies show the technique to be most efficacious with expensive rules. Thus, by using the lookahead from AC preprocessing, in many cases costly RETE computation can be effectively reduced.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121902077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A hybrid architecture for text classification 用于文本分类的混合体系结构
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246417
M. S. Register, Narasimham Kannan
{"title":"A hybrid architecture for text classification","authors":"M. S. Register, Narasimham Kannan","doi":"10.1109/TAI.1992.246417","DOIUrl":"https://doi.org/10.1109/TAI.1992.246417","url":null,"abstract":"SKIS, a prototype system that allows for the construction and use of text classification applications, is discussed. SKIS uses a combination of knowledge-based techniques, statistical techniques, morphological processing, and relevance feedback learning techniques to perform text classification. SKIS has been used to construct a prototype text classification application for the routing of customer service requests within customer support centers. The SKIS run-time architecture, the development and knowledge maintenance environment, and how SKIS is used are described. The benefits of combining knowledge-based and statistical techniques for text classification are discussed. SKIS is compared with other text classification systems.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124812865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
IKD: a knowledge-based tool for integrating a knowledge base and a database IKD:用于集成知识库和数据库的基于知识的工具
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246451
Hideaki Ito, T. Fukumura
{"title":"IKD: a knowledge-based tool for integrating a knowledge base and a database","authors":"Hideaki Ito, T. Fukumura","doi":"10.1109/TAI.1992.246451","DOIUrl":"https://doi.org/10.1109/TAI.1992.246451","url":null,"abstract":"In order to integrate a knowledge-based system (KBS) and relational database system (RDBS) more naturally and flexibly, it is necessary to work with these two systems cooperatively. The IKD system functions as an interface between the KBS and RDBS by representing their conceptual structures in frames. Two types of frames are distinguished from one another: one defines the data structure of an integrating database (DB) and the other represents conceptual objects dealing with a KBS. Several types of operations on the DB are processed based on message passing among frames.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130233795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extending inductive methods to create practical tools for building expert systems 扩展归纳方法以创建构建专家系统的实用工具
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246445
B. Leng, B. Buchanan
{"title":"Extending inductive methods to create practical tools for building expert systems","authors":"B. Leng, B. Buchanan","doi":"10.1109/TAI.1992.246445","DOIUrl":"https://doi.org/10.1109/TAI.1992.246445","url":null,"abstract":"Induction programs make several assumptions that limit their practical utility. Research to overcome the limitation of working within a fixed vocabulary is reported. A recently reported phenomenon in machine learning is that there is a tradeoff between the simplicity of concept descriptions and coverage of training instances, and a learning system cannot have both. It is argued that if a learning system can generate new terms, it can achieve both simplicity and coverage. A method for generating one new kind of terms, comparative terms, is given. The experimental results on a mushroom classification task show that a single comparative term can achieve 90% predictive accuracy.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129245092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Fault diagnosis of power distribution lines by using discrimination tree 基于判别树的配电线路故障诊断
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246452
M. Togami, N. Abe, T. Kitahashi, H. Ogawa
{"title":"Fault diagnosis of power distribution lines by using discrimination tree","authors":"M. Togami, N. Abe, T. Kitahashi, H. Ogawa","doi":"10.1109/TAI.1992.246452","DOIUrl":"https://doi.org/10.1109/TAI.1992.246452","url":null,"abstract":"A method for creating a discrimination tree and its application in a machine-learning-based power fault diagnosis system are discussed. An algorithm for diagnosing a single distribution line that is developed automatically by the machine learning system is presented. The performance of machine learning for fault diagnosis using a discrimination tree, an artificial neural network, and an expert system are compared.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"68 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tools for automating experiment design: a machine learning approach 自动化实验设计的工具:机器学习方法
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246423
Yongwon Lee, S. Clearwater
{"title":"Tools for automating experiment design: a machine learning approach","authors":"Yongwon Lee, S. Clearwater","doi":"10.1109/TAI.1992.246423","DOIUrl":"https://doi.org/10.1109/TAI.1992.246423","url":null,"abstract":"Work that uses an inductive learning tool, HEP-RL (high-energy-physics rule learner), in the design of a very complex artifact, a high-energy-physics experiment, is reported. The important contribution is the observation that the results of learning provide a more complete and robust design. This is because there were end users of the learning able to suggest constraints beyond the usual simple coverage metrics. This allowed for more confidence in the design.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133273087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A neuro-expert system architecture with application to alarm processing in a power system control centre 一种神经专家系统架构及其在电力系统控制中心报警处理中的应用
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246457
R. Khosla, T. Dillon
{"title":"A neuro-expert system architecture with application to alarm processing in a power system control centre","authors":"R. Khosla, T. Dillon","doi":"10.1109/TAI.1992.246457","DOIUrl":"https://doi.org/10.1109/TAI.1992.246457","url":null,"abstract":"A generic neuro-expert system architecture which can overcome difficulties faced by stand-alone expert systems and artificial neural networks is proposed. It can be applied in various problem domains, such as engineering and fault diagnosis, which require problem decomposition. It is recommended for use in real-time systems. The neuro-expert system architecture can be used at different levels of a power system hierarchy for alarm interpretation and fault diagnosis.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"344 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115675393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A new decision-tree classification algorithm for machine learning 一种新的机器学习决策树分类算法
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246431
Pei-Lei Tu, J.-Y. Chung
{"title":"A new decision-tree classification algorithm for machine learning","authors":"Pei-Lei Tu, J.-Y. Chung","doi":"10.1109/TAI.1992.246431","DOIUrl":"https://doi.org/10.1109/TAI.1992.246431","url":null,"abstract":"Although decision-tree classification algorithms have been widely used for machine learning in artificial intelligence, there has been little research toward evaluating the performance or quality of the current classification algorithms and investigating the time and computational complexity of constructing the smallest size decision tree which best distinguishes characteristics of multiple distinct groups. A known NP-complete problem, 3-exact cover, is used to prove that this problem is NP-complete. One prevalent classification algorithm in machine learning, ID3, is evaluated. The greedy search procedure used by ID3 is found to create anomalous behavior with inferior decision trees on a lot of occasions. A decision-tree classification algorithm, the intelligent decision-tree algorithm (IDA), that overcomes these anomalies with better classification performance is presented. A time analysis shows that IDA is more computationally efficient than ID3, and a simulation study indicates that IDA outperforms ID3.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124126971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 48
Dynamic version spaces in machine learning 机器学习中的动态版本空间
Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92 Pub Date : 1992-11-10 DOI: 10.1109/TAI.1992.246421
William Sverdlik, R. Reynolds
{"title":"Dynamic version spaces in machine learning","authors":"William Sverdlik, R. Reynolds","doi":"10.1109/TAI.1992.246421","DOIUrl":"https://doi.org/10.1109/TAI.1992.246421","url":null,"abstract":"A hybrid learning algorithm for discovering concepts with multiple disjuncts is presented. The algorithm, HYBAL, in incorporating both version spaces and genetic algorithms, extends the work of R.G. Reynolds (1990) to learning of Boolean concepts from an exponentially growing hypothesis space. Learning is accomplished via factoring the underlying version space into tractable subspaces, and then dynamically deriving concepts for the corresponding S set and G sets. In delaying the specification of a concept language until run time, it is demonstrated that HYBAL is capable of solving a larger class of Boolean functions than with traditional version spaces, where concepts are specified at compile time.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116832307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
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