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Fourth International Conference on Hybrid Intelligent Systems (HIS'04)最新文献

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An effective machine learning algorithm using momentum scheduling 一种有效的动量调度机器学习算法
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.18
Eun-Mi Kim, Seong-Mi Park, Kwang-Hee Kim, B. Lee
{"title":"An effective machine learning algorithm using momentum scheduling","authors":"Eun-Mi Kim, Seong-Mi Park, Kwang-Hee Kim, B. Lee","doi":"10.1109/ICHIS.2004.18","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.18","url":null,"abstract":"This paper proposes a new algorithm to improve learning performance in support vector machine by using the kernel relaxation and the dynamic momentum. Compared with the static momentum, the dynamic momentum is simultaneously obtained by the learning process of pattern weight and reflected into different momentum by the current state. Therefore, the proposed dynamic momentum algorithm can effectively control the convergence rate and performance. The experiment using SONAR data shows that the proposed algorithm has better convergence rate and performance than the kernel relaxation using static momentum.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127126062","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: 4
Polymorphic malicious executable scanner by API sequence analysis 基于API序列分析的多态恶意可执行程序扫描器
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.75
Jianyun Xu, A. Sung, Patrick Chavez, Srinivas Mukkamala
{"title":"Polymorphic malicious executable scanner by API sequence analysis","authors":"Jianyun Xu, A. Sung, Patrick Chavez, Srinivas Mukkamala","doi":"10.1109/ICHIS.2004.75","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.75","url":null,"abstract":"The proliferation of malware (viruses, Trojans, and other malicious code) in recent years has presented a serious threat to enterprises, organizations, and individuals. Polymorphic (or variant versions of) computer viruses are more complex and difficult than their original versions to detect, often requiring antivirus companies to spend much time to create the routines needed to catch them. In this paper, we propose a new approach for detecting polymorphic malware in the Windows platform. Our approach rests on an analysis based on the Windows API calling sequence that reflects the behavior of a piece of particular code. The analysis is carried out directly on the PE (portable executable) code. It is achieved in two major steps: construct the API calling sequences for both the known virus and the suspicious code, and perform a similarity measurement between the two sequences after a sequence realignment operation is done. Favorable experimental results are obtained and presented.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132325450","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: 89
First-order logical neural networks 一阶逻辑神经网络
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.46
B. Kijsirikul, Thanupol Lerdlamnaochai
{"title":"First-order logical neural networks","authors":"B. Kijsirikul, Thanupol Lerdlamnaochai","doi":"10.1109/ICHIS.2004.46","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.46","url":null,"abstract":"Inductive logic programming (ILP) is a well known machine learning technique in learning concepts from relational data. Nevertheless, ILP systems are not robust enough to noisy or unseen data in real world domains. Furthermore, in multiclass problems, if the example is not matched with any learned rules, it cannot be classified. This paper presents a novel hybrid learning method to alleviate this restriction by enabling neural networks to handle first-order logic programs directly. The proposed method, called first-order logical neural network (FOLNN), is based on feedforward neural networks and integrates inductive learning from examples and background knowledge. We also propose a method for determining the appropriate variable substitution in FOLNN learning by using multiple-instance learning (MIL). In the experiments, the proposed method has been evaluated on two first-order learning problems, i.e., the finite element mesh design and mutagenesis and compared with the state-of-the-art, the PROGOL system. The experimental results show that the proposed method performs better than PROGOL.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126026235","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
Behavior modeling using a hierarchical HMM approach 使用分层HMM方法的行为建模
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.29
S. Chiao, C. Xydeas
{"title":"Behavior modeling using a hierarchical HMM approach","authors":"S. Chiao, C. Xydeas","doi":"10.1109/ICHIS.2004.29","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.29","url":null,"abstract":"We introduce a new methodology for the hierarchical modeling of the behavior-with-time of players operating and interacting within a certain application domain. Behavior modelling and characterization are performed online, given that a number of observations are made or sensed at regular time intervals with respect to each player. A key element of this hierarchical behavior modeling system architecture is a new formulation of multiple hidden Markov models (HMM) with discrete densities operating in parallel, with each HMM accepting a single feature-related observation sequence. However the proposed classification approach recognizes the existence of possible dependencies between the observation sequences of the features obtained for a given player. This property is effectively exploited in a new dependent-multiHMM with discrete densities (DM-HMM-D) classification approach. The proposed methodology is applied in modeling the behavior of aircrafts operating in relatively simple 3D \"air-patrol\" situations. Computer simulation results demonstrate the significant gains that can be obtained in system classification and modeling performance when compared to those obtained while using conventional independent-multidiscrete hidden Markov model (IM-HMM-D) schemes.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122596649","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: 4
Experience based reasoning for recognising fraud and deception 识别欺诈和欺骗的基于经验的推理
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.43
Zhaohao Sun, G. Finnie
{"title":"Experience based reasoning for recognising fraud and deception","authors":"Zhaohao Sun, G. Finnie","doi":"10.1109/ICHIS.2004.43","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.43","url":null,"abstract":"Fraud, deception and their recognition have received increasing attention in multiagent systems (MAS), e-commerce, and agent societies. However, little attention has been given to the theoretical foundation for fraud and deception from a logical viewpoint. We fill this gap by arguing that experience-based reasoning (EBR) is a logical foundation for recognizing fraud and deception. It provides a logical analysis of deception, which classifies recognition of deception into knowledge-based deception recognition, inference-based deception recognition, and hybrid deception recognition. It will examine the relationship between EBR and fraud as well as deception. It uses EBR to recognize fraud and deception in e-commerce and MAS. The proposed approach will facilitate research and development of recognition of fraud and deception in e-commerce.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"411 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134289690","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: 22
Zamin, an agent based artificial life model Zamin，一个基于agent的人工生命模型
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.94
R. Halavati, S. Shouraki, S. H. Zadeh, Pujan Ziaie, C. Lucas
{"title":"Zamin, an agent based artificial life model","authors":"R. Halavati, S. Shouraki, S. H. Zadeh, Pujan Ziaie, C. Lucas","doi":"10.1109/ICHIS.2004.94","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.94","url":null,"abstract":"Zamin artificial life model is designed to be a general purpose environment for researches on evolution of learning methods, living strategies and complex behaviors and is used in several studies thus far. As a main target for Zamin's design has been its expandability and ease of problem definition, a new agent based structure for this artificial world is introduced in this paper, which is believed to be much easier to use and extend. In this new model, all control and world running processes are done by agents. Therefore, any change in world processes does not require recoding the main engine and can be done just by altering the behavior of one or some agents. To have an easier interface for the design of new organisms, all creatures' communications with the world level is done through a common message map, thus, a designer just needs to code the required parts and append them to the main system to process the necessary messages. And at last, extending the model can be done with much less effort, as it can be done easily by creating new agents that handle the new tasks. This model is implemented and some coding differences with previous model are presented.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133780731","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
Application of machine learning techniques to Web-based intelligent learning diagnosis system 机器学习技术在基于web的智能学习诊断系统中的应用
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.25
Chenn-Jung Huang, Ming-Chou Liu, San-Shine Chu, Chih-Lun Cheng
{"title":"Application of machine learning techniques to Web-based intelligent learning diagnosis system","authors":"Chenn-Jung Huang, Ming-Chou Liu, San-Shine Chu, Chih-Lun Cheng","doi":"10.1109/ICHIS.2004.25","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.25","url":null,"abstract":"This work proposes an intelligent learning diagnosis system that supports a Web-based thematic learning model, which aims to cultivate learners' ability of knowledge integration by giving the learners the opportunities to select the learning topics that they are interested, and gain knowledge on the specific topics by surfing on the Internet to search related learning courseware and discussing what they have learned with their colleagues. Based on the log files that record the learners' past online learning behavior, an intelligent diagnosis system is used to give appropriate learning guidance to assist the learners in improving their study behaviors and grade online class participation for the instructor. The achievement of the learners' final reports can also be predicted by the diagnosis system accurately. Our experimental results reveal that the proposed learning diagnosis system can efficiently help learners to expand their knowledge while surfing in cyberspace Web-based \"theme-based learning\" model.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116882992","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: 27
Evolutionary artificial neural network optimisation in financial engineering 金融工程中的进化人工神经网络优化
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.42
Serge Hayward
{"title":"Evolutionary artificial neural network optimisation in financial engineering","authors":"Serge Hayward","doi":"10.1109/ICHIS.2004.42","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.42","url":null,"abstract":"Analytical examination of loss functions' families demonstrates that investors' utility maximisation is determined by their risk attitude. In computational settings, stock traders' fitness is assessed in response to a slow-step increase in the value of the risk aversion coefficient. The experiment rejects the claims that the accuracy of the forecast does not depend upon which error-criteria are used and none of them is related to the profitability of the forecast. Profitability of networks trained with L/sub 6/ loss function appeared to be statistically significant and stable, although links between loss functions and accuracy of forecasts were less conclusive.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123777020","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
An empirical performance comparison of machine learning methods for spam e-mail categorization 垃圾邮件分类机器学习方法的经验性能比较
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.21
Chih-Chin Lai, Ming-Chi Tsai
{"title":"An empirical performance comparison of machine learning methods for spam e-mail categorization","authors":"Chih-Chin Lai, Ming-Chi Tsai","doi":"10.1109/ICHIS.2004.21","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.21","url":null,"abstract":"The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable antispam filters. Using a classifier based on machine learning techniques to automatically filter out spam e-mail has drawn many researchers' attention. In this paper, we review some of relevant ideas and do a set of systematic experiments on e-mail categorization, which has been conducted with four machine learning algorithms applied to different parts of e-mail. Experimental results reveal that the header of e-mail provides very useful information for all the machine learning algorithms considered to detect spam e-mail.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130192137","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: 71
Knowledge discovery with SOM networks in financial investment strategy SOM网络在金融投资策略中的知识发现
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.68
Shu-Ching Kuo, Sheng-Tun Li, Yi-Chung Cheng, Men-Hsieu Ho
{"title":"Knowledge discovery with SOM networks in financial investment strategy","authors":"Shu-Ching Kuo, Sheng-Tun Li, Yi-Chung Cheng, Men-Hsieu Ho","doi":"10.1109/ICHIS.2004.68","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.68","url":null,"abstract":"Recently, the recession of the global economy induces the coming of a new era of low interest-rates, which resulted in the stock market as an alternative investment channel for investors. The diversity and complication of domain knowledge existing in the stock market enhance its importance for developing a decision support system, which can gather real-time pricing information for supporting decision-making in financial investment. We tackle these challenges by proposing an integrated solution on the basis of K-chart analysis and the over-whelming self-organizing map neural networks. We not only endeavor to improve the accuracy of uncovering trading signals, but also to maximize the profits of trading. The resulting decision model can help investment decision-makers of national stable funds make the most profitable decisions. In addition, financial experts can benefit from the ability of verifying or refining their tacit investment knowledge offered by the uncovered knowledge.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128614848","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: 17
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