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2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)最新文献

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Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries 脑-基因本体:整合生物信息学和神经信息学数据、信息和知识以实现发现
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.15
N. Kasabov, Vishal Jain, P. Gottgtroy, L. Benusková, F. Joseph
{"title":"Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries","authors":"N. Kasabov, Vishal Jain, P. Gottgtroy, L. Benusková, F. Joseph","doi":"10.1109/HIS.2006.15","DOIUrl":"https://doi.org/10.1109/HIS.2006.15","url":null,"abstract":"The paper presents some preliminary results on the brain-gene ontology (BGO) project that is concerned with the collection, presentation and use of knowledge in the form of ontology. BGO includes various concepts, facts, data, software simulators, graphs, videos, animations, and other information forms, related to brain functions, brain diseases, their genetic basis and the relationship between all of them. The first version of the brain-gene ontology has been completed as a hierarchical structure and as an initial implementation in the Prot¿g¿ ontology building environment.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123209898","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: 8
Towards Organic Sensing System-First Measurement Result of Self-x Sensor Signal Amplifier 有机传感系统——自x传感器信号放大器的首个测量结果
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.73
S. Lakshmanan, Peter Tawdross, A. König
{"title":"Towards Organic Sensing System-First Measurement Result of Self-x Sensor Signal Amplifier","authors":"S. Lakshmanan, Peter Tawdross, A. König","doi":"10.1109/HIS.2006.73","DOIUrl":"https://doi.org/10.1109/HIS.2006.73","url":null,"abstract":"The adaptation and robust sensing capabilities of living organisms remains envy to engineers. Numerous research efforts have been started to mimic these capabilities of living beings such as self-configuration, self-diagnosis and self-healing etc., and exploit them in technical devices, systems, and appliances. Ubiquitous embedded systems comprises of indispensable analog and mixed-signal component for sensor and actuator interfacing. The regarded sensor electronics are vulnerable to numerous static and dynamic influences, mismatches and to substrate noise. Specific generic cells for sensor amplifiers and analog/mixed-signal arrays are regarded in our work, which can be configured and changed/repaired under the control of an optimisation technique based on swarm intelligence. The approach targets on yielding fast, flexible, adaptive HW/SW platform supporting rapid prototyping and maintaining quality. The first chip design of a reconfigurable sensor signal amplifier has been tested by extrinsically generated PSO based configurations. The embedded system architecture and the measured results will be presented and an outlook on intrinsic system design will be given.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124961347","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
A Hybrid Machine Learning Approach for Information Extraction 信息提取的混合机器学习方法
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.3
Eduardo F. A. Silva, F. Barros, R. Prudêncio
{"title":"A Hybrid Machine Learning Approach for Information Extraction","authors":"Eduardo F. A. Silva, F. Barros, R. Prudêncio","doi":"10.1109/HIS.2006.3","DOIUrl":"https://doi.org/10.1109/HIS.2006.3","url":null,"abstract":"Information Extraction (IE) aims to extract from textual documents only the relevant data required by the user. In this paper, we propose a hybrid machine learning approach for IE on semi-structured texts that combines conventional text classification techniques and Hidden Markov Models (HMM). In this approach, a text classifier technique generates an initial output, which is refined by an HMM, providing a globally optimal extraction. An implemented prototype was used to extract information from bibliographic references, reaching a consistent gain in performance through the use of the HMM.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128408104","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
Stochastic Differential Portfolio Games with Regime Switching Model 具有状态切换模型的随机微分投资组合对策
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.70
Shuping Wan
{"title":"Stochastic Differential Portfolio Games with Regime Switching Model","authors":"Shuping Wan","doi":"10.1109/HIS.2006.70","DOIUrl":"https://doi.org/10.1109/HIS.2006.70","url":null,"abstract":"Stochastic dynamic investment games with regime switching model in continuous time between two investors are developed. The market coefficients are modulated by continuous-time Markov chain. There is a single payoff function which depends on both investors¿ wealth processes. One player chooses a dynamic portfolio strategy in order to maximize this expected payoff, while his opponent is simultaneously choosing a dynamic portfolio strategy so as to minimize the same quantity. A general result in optimal control for a stochastic differential game with a general payoff function is presented under some regular conditions. Use this general result to utility-based games of fixed duration, the optimal strategies and value of the games are derived explicitly.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117006201","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
Ensemble as a Piecewise Linear Classifier 集成作为分段线性分类器
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.24
P. Hartono, S. Hashimoto
{"title":"Ensemble as a Piecewise Linear Classifier","authors":"P. Hartono, S. Hashimoto","doi":"10.1109/HIS.2006.24","DOIUrl":"https://doi.org/10.1109/HIS.2006.24","url":null,"abstract":"In this paper we analyze the performance of a neural network ensemble in performing piecewise linear classification by automatically decomposing a non-linear problem into several linear sub-problems. The strength and weakness of this neural network ensemble with respect to MLP and Perceptron, and the diversity in the ensemble¿s modules, created as the result of the competitive learning process, are the main focus of this paper.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129906738","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
A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties 基于多目标进化算法的知识分类规则构建
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.6
A. Pila, Rafael Giusti, R. Prati, M. C. Monard
{"title":"A Multi-Objective Evolutionary Algorithm to Build Knowledge Classification Rules with Specific Properties","authors":"A. Pila, Rafael Giusti, R. Prati, M. C. Monard","doi":"10.1109/HIS.2006.6","DOIUrl":"https://doi.org/10.1109/HIS.2006.6","url":null,"abstract":"This work proposes the use of evolutionary algorithms to build individual knowledge rules with specific properties that are usually neglected when conducted by traditional supervised learning methods. The proposed evolutionary algorithm uses a rank-based, multi-objective fitness function that enables the arrangement of any set of measures. Experimental results that show the suitability of our proposal are also presented.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"77 4 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133440480","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
Optimum Path Planning for Mobile Robots Based on a Hybrid Genetic Algorithm 基于混合遗传算法的移动机器人最优路径规划
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.53
Qing Li, X. Tong, Sijiang Xie, Yingchun Zhang
{"title":"Optimum Path Planning for Mobile Robots Based on a Hybrid Genetic Algorithm","authors":"Qing Li, X. Tong, Sijiang Xie, Yingchun Zhang","doi":"10.1109/HIS.2006.53","DOIUrl":"https://doi.org/10.1109/HIS.2006.53","url":null,"abstract":"A hybrid genetic algorithm based optimum path planning approach for mobile robots is proposed in this paper. A new proposed self-adaptive algorithm for controlling the crossover and mutation probabilities is adopted to replace the adjustment algorithm in an improved genetic algorithm, which is specifically designed for optimum path planning of mobile robots. The simulation studies in varying environments are carried out to demonstrate the effectiveness of the proposed algorithm and the simulation results show that the hybrid genetic algorithm has provided faster search speed compared with the recently reported method.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134356750","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: 31
Null-Model Validation of MLP Input Contribution Analysis in Ecology 生态学中MLP投入贡献分析的零模型验证
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.51
M. Watts, S. Worner
{"title":"Null-Model Validation of MLP Input Contribution Analysis in Ecology","authors":"M. Watts, S. Worner","doi":"10.1109/HIS.2006.51","DOIUrl":"https://doi.org/10.1109/HIS.2006.51","url":null,"abstract":"A method is presented for applying a null-model analysis to the verification of the significance of the input neurons of Multi-Layer Perceptrons (MLP). This method was applied to a problem from ecology, namely the establishment of invasive insect pest species. Previous work has described how the MLP were trained to predict species establishment from climate data, and to identify which climatic factors are significant. The null-model analysis method described here was used to validate these predictions.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115552896","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
Light-Weight Evolutionary Computation for Complex Image-Processing Applications 复杂图像处理应用的轻量级进化计算
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.42
M. Köppen
{"title":"Light-Weight Evolutionary Computation for Complex Image-Processing Applications","authors":"M. Köppen","doi":"10.1109/HIS.2006.42","DOIUrl":"https://doi.org/10.1109/HIS.2006.42","url":null,"abstract":"The expedience of today's image-processing applications is not any longer based on the performance of a single algorithm alone. These systems appear to be complex frameworks with a lot of subtasks that are solved by specific algorithms, adaptation procedures, data handling, scheduling, and parameter choices. The venture of using computational intelligence (CI) in such a context, thus, is not a matter of a single approach. Among the great choice of techniques to inject CI in an image-processing framework, the primary focus of this talk will be on the usage of so-called Tiny-GAs. This stands for an evolutionary procedure with low efforts, i.e. small population size (like 10 individuals), little number of generations, and a simple fitness. Obviously, this is not suitable for solving highly complex optimization tasks, but the primary interest here is not the best individuals' fitness, but the fortune of the algorithm and its population, which has just escaped the Monte-Carlo domain after random initialization. That this approach can work in practice will be demonstrated by means of selected image-processing applications, especially in the context of linear regression and line fitting; evolutionary post processing of various clustering results, in order to select a most suitable one by similarity; classification by the fitness values obtained after a few generations as well as segmentation of the main-color region.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130287445","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
Research on an Improved Gray Gradient Orientation Algorithm in Anisotropic High-Pass Filtering 各向异性高通滤波中改进的灰度梯度定向算法研究
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI: 10.1109/HIS.2006.60
Qing Pan, Guoping Yan, Yukuan Zhang, Nili Tian
{"title":"Research on an Improved Gray Gradient Orientation Algorithm in Anisotropic High-Pass Filtering","authors":"Qing Pan, Guoping Yan, Yukuan Zhang, Nili Tian","doi":"10.1109/HIS.2006.60","DOIUrl":"https://doi.org/10.1109/HIS.2006.60","url":null,"abstract":"The edge's orientation obtained with the method of gray gradient orientation may be quite different from the real edge's orientation, leading to deterioration of the high-pass filtering performance. In this paper, an original scheme of the improved algorithm on the method of the gray gradient orientation is proposed. Making full use of the pixels in the region to obtain the estimated angle, which is much closer to that of the real edge¿s orientation. The experimental result shows that using the algorithm put forward in this paper, we can obtain the more ideal filtering performance in highpass filtering.","PeriodicalId":150732,"journal":{"name":"2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132831134","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
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