Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003最新文献_第6页

A new method for mining optimal formula from curative data of new Chinese medicine 从新中药疗效数据中挖掘最佳配方的新方法

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238145

Zhenggui Xiang

引用次数: 0

Intelligent digital filmmaker DMP 智能数字电影制作人DMP

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238137

Jinhong Shen, S. Miyazaki, T. Aoki, H. Yasuda

引用次数: 7

A new model to forecast the results of matches based on hybrid neural networks in the soccer rating system 基于混合神经网络的足球评分系统比赛结果预测模型

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238143

Taoya Cheng, Deguang Cui, Zhimin Fan, Jie Zhou, Siwei Lu

{"title":"A new model to forecast the results of matches based on hybrid neural networks in the soccer rating system","authors":"Taoya Cheng, Deguang Cui, Zhimin Fan, Jie Zhou, Siwei Lu","doi":"10.1109/ICCIMA.2003.1238143","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238143","url":null,"abstract":"The objective of this paper is to build a result prediction model for the rating system in soccer games. A rating system which plays a crucial role in world sports field yields predictions for the probability that one contestant beats another. The result prediction model is the core technique in the rating system. The robustness and accuracy of the model is a very important feature because people will trust the rating system only if it can give the exact prediction of the game results. This paper employs a coarse-to-fine training technique based on hybrid neural network. Very few people have ever attempted the method based on neural network before in this field. First a match is classified into three categories with a LVQ net to determine the strength contrast between two contestants. Then the elaborately designed data will go through the specific BP nets according to the classifying result. The model is trained and tested on volumes of actual soccer match results from Italian series A. Finally the results of the model are compared to other prediction models based on statistics. The outcome shows that the new model is more accurate and provides better performance evaluation of all teams.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116362265","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: 12

Optimization with genetic algorithms in multispecies environments 多物种环境下遗传算法优化

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238124

L. Schmitt

引用次数: 5

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238113

Hangjun Ye, Guangyou Xu

引用次数: 10

Using association features to enhance the performance of Naive Bayes text classifier 利用关联特征提高朴素贝叶斯文本分类器的性能

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238148

Zhang Yang, Z. Lijun, Jianfeng Yan, Zhanhuai Li

引用次数: 9

Fuzzy logic based texture queries for CBIR 基于模糊逻辑的纹理查询

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238129

S. Kulkarni, B. Verma

引用次数: 57

Automatic divide-and-conquer using populations and ensembles 自动分治使用群体和集合

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238087

X. Yao

{"title":"Automatic divide-and-conquer using populations and ensembles","authors":"X. Yao","doi":"10.1109/ICCIMA.2003.1238087","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238087","url":null,"abstract":"Summary form only given. Real-world problems are often too large and complex for a single monolithic system to solve. In practice, the divide-and-conquer strategy has often been used to decompose a large and complex problem into smaller tractable sub-problems and then solve them. However, good decomposition of large and complex problems requires experienced human experts and rich prior domain knowledge, which are usually unavailable for real-world problems. This paper explores some of our research efforts towards an adaptive approach to divide-and-conquer in the design of machine learning systems, e.g., evolutionary and neural learning systems. The basic idea is to move away from designing a single monolithic system that would solve a large and complex problem, and to employ a population of simpler sub-systems that will cooperatively solve the problem. In such populations based systems, each sub-system will be simpler and easier to learn than the monolithic system. The integrated system based on the whole population can generalise better than any single subsystems in the population. In particular, by evolving and training a team of specialists from random initial conditions, we were able to \"decompose\" a large and complex problem into simpler ones and solve them without human intervention (X. Yao et al., 1996). Two major approaches is described. One uses the population structure in evolutionary algorithms, where individuals in a population are evolved into species (i.e., specialists for solving sub-problems) (P. J. Darwen and X. Yao, 1997). The other uses neural network ensembles in which individual neural networks learn to differentiate from and cooperate with each other (Liu and Yao, 1999; and Liu et al., 2000). A constructive algorithm for designing ensembles as well as individual neural networks will be introduced by MM Islam et al. (2003).","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131796546","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: 1

Learning human perceptual concepts in a fuzzy CBIR system 在模糊CBIR系统中学习人类感知概念

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238147

Chih-Yi Chiu, Hsin-Chih Lin, Shin-Nine Yang

引用次数: 5

Negotiation modeling and e-shopping agents 谈判建模和电子购物代理

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI: 10.1109/ICCIMA.2003.1238085

Runhe Huang

{"title":"Negotiation modeling and e-shopping agents","authors":"Runhe Huang","doi":"10.1109/ICCIMA.2003.1238085","DOIUrl":"https://doi.org/10.1109/ICCIMA.2003.1238085","url":null,"abstract":"Negotiation is a key component of e-business. Like business in the real world, negotiation often occurs between two parties or among parties. Considering how to settle on the terms of a transaction, negotiation varies in duration and complexity depending on the market. In general, people are directly engaged in a negotiation process with common knowledge, their experience, and certain learning or reasoning strategies. The human involved negotiations accrue transaction costs that may be too high for either consumers or merchants. Software agent technologies can be used to automate several of the most time-consuming stages and help human combat information overload and expedite specific stages of the business process. The agent-mediated e-business systems are creating new markets (low-cost consumer-to-consumer goods) and beginning to reduce transaction cost in variety of business processes. With a rational negotiation model, software agents should be able to negotiate in an intelligent way on behalf of the real-world parties they represent. However, one of the challenging problems here is negotiation modeling. How to precisely reflect human's negotiation process on different levels is a crucial point. This paper presents our studies on negotiation modeling and demonstrates the negotiation model based e-shopping agents.","PeriodicalId":385362,"journal":{"name":"Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128004003","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: 7