2012 11th Mexican International Conference on Artificial Intelligence最新文献_第2页

Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming 基于基因表达式编程的自动定义函数协同进化

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.15

Alejandro Sosa-Ascencio, Manuel Valenzuela-Rendón, H. Terashima-Marín

{"title":"Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming","authors":"Alejandro Sosa-Ascencio, Manuel Valenzuela-Rendón, H. Terashima-Marín","doi":"10.1109/MICAI.2012.15","DOIUrl":"https://doi.org/10.1109/MICAI.2012.15","url":null,"abstract":"The decomposition of problems into smaller elements is a widespread approach. In this paper we consider two approaches that are based over the principle to segmentation to problems for the resolution of resultant sub-components. On one hand, we have Automatically Defined Functions (ADFs), which originally emerged as a refinement of genetic programming for reuse code and modulirize programs into smaller components, and on the other hand, we incorporated co evolution to the implementation of ADFs, we present a cooperative co evolutionary-based approach to the problem of developing ADFs, we implemented a module of Gene Expression Programming (GEP) for the virtual gene Genetic Algorithm (vgGA) framework, and tested the co evolution of ADFs in three symbolic regression problems, comparing it with a conventional genetic algorithm. Our results show that on a simple function a conventional genetic algorithm performs better than our co evolutionary approach, but on a more complex functions the conventional genetic algorithm is outperformed by our co evolutionary approach. Also, we present an algorithm to implement GEP in a minimally invasive way in almost any genetic algorithm implementation.","PeriodicalId":348369,"journal":{"name":"2012 11th Mexican International Conference on Artificial Intelligence","volume":"277 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":"127482995","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

Middleware for Information Exchange in Heterogeneous Social Network 异构社会网络中信息交换的中间件

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.10

Jesus Carlos Carmona-Frausto, Víctor Jesús Sosa Sosa, I. Lopez-Arevalo

引用次数: 0

BCP and ZQP Strategies to Reduce the SVM Training Time 减少支持向量机训练时间的BCP和ZQP策略

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.30

Rodolfo Ibarra-Orozco, Juan Carlos López Pimentel, M. González-Mendoza, N. Hernández-Gress

引用次数: 0

EMG Pattern Recognition System Based on Neural Networks 基于神经网络的肌电模式识别系统

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.23

Juan Carlos Gonzalez-Ibarra, C. Soubervielle-Montalvo, O. Vital-Ochoa, H. G. Pérez-González

引用次数: 12

Latent Semantic Analysis Model as a Representation of Free-Association Word Norms 自由关联词规范的潜在语义分析模型

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.13

D. Ortega-Pacheco, Natalia Arias-Trejo, J. B. Barrón-Martínez

引用次数: 4

Conception and Implementation of a Supermarket Shopping Assistant System 超市购物助理系统的构想与实现

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.21

A. Marín-Hernández, G. Hoyos-Rivera, Marlon Garcia-Arroyo, L. Marín-Urías

引用次数: 26

A New Fuzzy TOPSIS Approach to Personnel Selection with Veto Threshold and Majority Voting Rule 一种新的具有否决阈值和多数表决规则的模糊TOPSIS方法

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.31

Lizandra Arza Perez, Edistio Yoel Verdecia Martinez, Joanner Hung Martinez

{"title":"A New Fuzzy TOPSIS Approach to Personnel Selection with Veto Threshold and Majority Voting Rule","authors":"Lizandra Arza Perez, Edistio Yoel Verdecia Martinez, Joanner Hung Martinez","doi":"10.1109/MICAI.2012.31","DOIUrl":"https://doi.org/10.1109/MICAI.2012.31","url":null,"abstract":"The personal selection, one of the fundamental activities of the human resource management, has as objective to select the most appropriate candidate for the organization. This process is defined as a comparison and decision making process. In this process the human experts have an active participation. It is a tendency to consider this problem of multi-criteria decision making under uncertainty. The present work proposes a new approach for TOPSIS, one of the most used in multi-criteria decision making. This variant is the result of the study and implementation of the fuzzy TOPSIS variant that uses, veto threshold to substitute the positive and negative ideal solutions. The other element used is the rule of the majority vote, used fundamentally in the construction of multi-classifiers to combine the predictions of individual classifiers and to make a consensus classification. In the case of the proposal for the selection of the most appropriate alternative, several distance measure are uses. A computer application was developed, this application receives the configuration of the personal selection problem, evaluates the candidates and ranking using the votes.","PeriodicalId":348369,"journal":{"name":"2012 11th Mexican International Conference on Artificial Intelligence","volume":"46 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":"128446864","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

On-Line Learning in an Embedded Maximum Sensibility Neural Network 嵌入式最大灵敏度神经网络的在线学习

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.19

G. Sanmiguel, Luis Lauro Gonzalez, L. Torres-Treviño, Cesar Guerra

引用次数: 9

Automated Reply to Students' Queries in E-Learning Environment Using Web-BOT 使用Web-BOT在电子学习环境中自动回复学生的查询

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.18

Muhammad Farhan, M. Iqbal, M. Aslam, A. Enríquez, A. Farooq, Saad Tanveer, A. P. Mejia

{"title":"Automated Reply to Students' Queries in E-Learning Environment Using Web-BOT","authors":"Muhammad Farhan, M. Iqbal, M. Aslam, A. Enríquez, A. Farooq, Saad Tanveer, A. P. Mejia","doi":"10.1109/MICAI.2012.18","DOIUrl":"https://doi.org/10.1109/MICAI.2012.18","url":null,"abstract":"Electronic Learning (e-Learning) is used to educate people in these days. Using e-Learning, a number of world ranking universities are starting different courses for high school level to degree level and even at post graduate level through distance learning. This paper describes the best-known different machine learning techniques to boost up the e-Learning education standard and model. Comprehensively supervised and unsupervised techniques are described here for the e-Learning paradigm to auto reply of students' questions. Web bot is incorporated for the learning of students who are taking courses by remote mode. Due to the number of students enrolled in a particular course, student teacher interaction is a major challenge. Thus the solution is to train the Web based bot and make it available for the students' interaction 24/7. Main drawback of e-Learning environment is not frequent replies of student queries which we are going to cover by using web bot. The key demand is to deal with learning techniques but not fully automated. Training of the machine is performed on training data and validation is performed on test data set. Proposed idea of using the web bot in e-Learning is helpful to increase the learning curve of the students.","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":"129467918","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: 14

A Dynamic Logic-Based Modal Prolog 基于动态逻辑的模态Prolog

2012 11th Mexican International Conference on Artificial Intelligence Pub Date : 2012-10-27 DOI: 10.1109/MICAI.2012.11

J. O. Olmedo-Aguirre, G. Morales-Luna

引用次数: 3