2012 11th Mexican International Conference on Artificial Intelligence最新文献

Conflict Resolution in Multiagent Systems: Balancing Optimality and Learning Speed 多智能体系统的冲突解决:平衡最优性和学习速度

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.16

Aaron Rocha-Rocha, E. M. D. Cote, S. Hernández, E. Succar

引用次数: 4

Effective Diagnosis of Breast Cancer 乳腺癌的有效诊断

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.26

H. Parvin, Sajad Parvin

引用次数: 0

A Robust Classifier Ensemble for Improving the Performance of Classification 一种提高分类性能的鲁棒分类器集成

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.25

H. Parvin, Sajad Parvin

{"title":"A Robust Classifier Ensemble for Improving the Performance of Classification","authors":"H. Parvin, Sajad Parvin","doi":"10.1109/MICAI.2012.25","DOIUrl":"https://doi.org/10.1109/MICAI.2012.25","url":null,"abstract":"Usage of recognition systems has found many applications in almost all fields. Generally in design of multiple classifier systems, the more diverse the results of the classifiers, the more appropriate the aggregated result. While most of classification algorithms have obtained a good performance for specific problems they have not enough robustness for other problems. Combination of multiple classifiers can be considered as a general solution method for pattern recognition problems. It has been shown that combination of multiple classifiers can usually operate better than a single classifier system provided that its components are independent or their components have diverse outputs. It has been shown that the necessary diversity for the ensemble can be achieved by manipulation of dataset features, manipulation of data points in dataset, different sub-samplings of dataset, and usage of different classification algorithms. We also propose a new method of creating this diversity. We use Linear Discriminant Analysis to manipulate the data points in dataset. The ensemble created by proposed method may not always outperform any of its members, it always possesses the diversity needed for creation of an ensemble, and consequently it always outperforms the simple classifier systems.","PeriodicalId":348369,"journal":{"name":"2012 11th Mexican International Conference on Artificial Intelligence","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127241207","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

Improvement on Automatic Speech Recognition Using Micro-genetic Algorithm 基于微遗传算法的语音自动识别改进

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.14

Santiago Omar Caballero Morales, Yara Pérez Maldonado, F. Trujillo-Romero

引用次数: 1

Improving the Body Mass Index (BMI) Formula with Heuristic Search 用启发式搜索改进体质指数(BMI)公式

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.24

Miguel Murguía‐Romero, R. Jiménez-Flores, R. Méndez-Cruz, R. Villalobos-Molina

{"title":"Improving the Body Mass Index (BMI) Formula with Heuristic Search","authors":"Miguel Murguía‐Romero, R. Jiménez-Flores, R. Méndez-Cruz, R. Villalobos-Molina","doi":"10.1109/MICAI.2012.24","DOIUrl":"https://doi.org/10.1109/MICAI.2012.24","url":null,"abstract":"The body mass index (BMI) is nowadays the most used tool to evaluate obesity, involving only two anthropometric measures easy to obtain, the weight and the height (BMI=weight/height2). The BMI is valuable because it evaluates obesity, classifying people into 'underweight', 'normal weight', and 'overweight' classes. The value of the BMI means that through a classification of the weight condition, it implicitly estimates the possible alteration in metabolic parameters, such as blood glucose, blood pressure, and cholesterol, among others. Because it is widely used, a little variation in the accuracy of the classification of the BMI may involve thousands of individuals misclassified. The aim of this work was to evaluate variations of the BMI formula searching for one which increases the specificity and sensitivity, respect to metabolic alterations. We applied heuristic search of algebraic and constant variation to the original BMI formula, for example, a rule to generate new variations of the BMI formula is increasing the exponent of the denominator by 0.1. The heuristic function used was the intersection of specificity and sensitivity of the particular formula evaluated, i.e., the maximum values of the two statistics. To evaluate the specificity and sensitivity a database of a sample of 4,308 young Mexicans (17-24 years old), including the parameters of the metabolic alterations evaluated, and weight and height was used. The heuristic search can be applied to adjust formulae that evaluate other clinical alterations, such as the atherogenic index. Also, we propose to use the variations of the BMI formula found in this study, with the high sensitivity and specificity when evaluate obesity of young Mexican as a risk to present metabolic alterations.","PeriodicalId":348369,"journal":{"name":"2012 11th Mexican International Conference on Artificial Intelligence","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127325636","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

Electric Vehicle Powertrain Control with Fuzzy Indirect Vector Control 基于模糊间接矢量控制的电动汽车动力系统控制

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.33

Joycer Osorio, P. Ponce, A. Molina

引用次数: 2

A Novel Speed Control for DC Motors: Sliding Mode Control, Fuzzy Inference System, Neural Networks and Genetic Algorithms 一种新的直流电机速度控制:滑模控制、模糊推理系统、神经网络和遗传算法

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.32

P. Cepeda, P. Ponce, A. Molina

引用次数: 9

Combining Tabu Search and Genetic Algorithm in a Multi-agent System for Solving Flexible Job Shop Problem 结合禁忌搜索和遗传算法的多智能体系统求解柔性作业车间问题

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.12

Ameni Azzouz, M. Ennigrou, Jlifi Boutheina, K. Ghédira

引用次数: 13

Implementing a Knowledge Bases Debugger 实现一个知识库调试器

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.20

J. Guadarrama, J. R. Marcial-Romero, Marcelo Romero, Jorge Hernandez Camacho

{"title":"Implementing a Knowledge Bases Debugger","authors":"J. Guadarrama, J. R. Marcial-Romero, Marcelo Romero, Jorge Hernandez Camacho","doi":"10.1109/MICAI.2012.20","DOIUrl":"https://doi.org/10.1109/MICAI.2012.20","url":null,"abstract":"Knowledge representation is an important topic in common-sense reasoning and Artificial Intelligence, and one of the earliest techniques to represent it is by means of knowledge bases encoded into logic clauses. Encoding knowledge, however, is prone to typos and other kinds of consistency mistakes, which may yield incorrect results or even internal contradictions with conflicting information from other parts of the same code. In order to overcome such situations, we propose a logic-programming system to debug knowledge bases. The system has a strong theoretical framework on knowledge representation and reasoning, and a suggested on-line prototype where one can test logic programs. Such logic programs may have, of course, conflicting information and the system shall prompt the user where the possible source of conflict is. Besides, the system can be employed to identify conflicts of the knowledge base itself and upcoming new information, it can also be used to locate the source of conflict from a given inherently inconsistent static knowledge base. This paper describes an implementation of a declarative version of the system that has been characterised to debug knowledge bases in a semantical formalism. Some of the key components of such implementation are existing solvers, so this paper focuses on how to use them and why they work, towards an implemented a fully-fledged system.","PeriodicalId":348369,"journal":{"name":"2012 11th Mexican International Conference on Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129565486","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

Intrusion Detection Using Fuzzy Stochastic Local Search Classifier 基于模糊随机局部搜索分类器的入侵检测

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.17

B. Bahamida, D. Boughaci

引用次数: 2