2011 11th International Conference on Intelligent Systems Design and Applications最新文献_第4页

An evolutionary approach for learning the weight of relations in linked data 一种学习关联数据中关系权重的进化方法

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121789

J. Vidal, M. Lama, Estefanía Otero-García, Alberto Bugarín-Diz

{"title":"An evolutionary approach for learning the weight of relations in linked data","authors":"J. Vidal, M. Lama, Estefanía Otero-García, Alberto Bugarín-Diz","doi":"10.1109/ISDA.2011.6121789","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121789","url":null,"abstract":"In this paper we present an approach for improving a specific class of semantic annotation, that relates a term of the document with a (sub)tree of the ontology, instead of linking a term with a single concept of the ontology. An important part of this class of annotation is filtering the relevant (sub)nodes and relations, because the returned graph should only contain relevant information, that is, nodes that are truly related with the topics of the document. In addition, we consider that the relevance of nodes vary depending on if the node is a branch or a leaf, that is, if the node has links to other nodes or it is a text-based description. This paper focuses on the relevance of branch nodes, which is calculated from the relevance of its links, since leaf nodes relevance is usually estimated by similarity metrics. Specifically, our approach incises in learning (through a genetic algorithm) and assigning the most appropriate weights to these links in order to reduce the precision/recall curve of the annotation process. The results show that our solution is viable and outperforms the state of the art approaches.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123736448","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

Mining Romanian texts for semantic knowledge 挖掘罗马尼亚文本的语义知识

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121799

Diana Trandabat

引用次数: 4

Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis 通过夜间血氧测定辅助睡眠呼吸暂停诊断的逻辑回归模型的前瞻性评价

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121775

D. Álvarez, R. Hornero, J. Victor Marcos, T. Penzel, F. Campo, N. Wessel

{"title":"Prospective evaluation of logistic regression models from overnight oximetry to assist in sleep apnea diagnosis","authors":"D. Álvarez, R. Hornero, J. Victor Marcos, T. Penzel, F. Campo, N. Wessel","doi":"10.1109/ISDA.2011.6121775","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121775","url":null,"abstract":"This study focused on prospectively testing diagnostic performance of different logistic regression (LR) models in the context of sleep apnea hypopnea syndrome (SAHS) detection from blood oxygen saturation (SaO2) recordings. Feature extraction, selection and classification procedures were applied. Time, frequency, linear and nonlinear analyses were carried out to compose the initial feature set. Forward stepwise logistic regression (FSLR) was applied for feature selection. LR was used to measure performance classification of single features and an optimum feature subset from FSLR. A training set composed of 148 recordings from patients suspected of suffering from SAHS was used to obtain LR models, which were further validated on a dataset composed of 50 recordings from normal healthy subjects and 21 recordings from SAHS patients, all derived from an independent sleep unit. Diagnostic performance of one-feature LR models from oximetry in the training set significantly changed on further assessments in the test set. On the other hand, FSLR provided a more general LR model in the context of SAHS, which reached an accuracy of 89.7% on the training set and 87.3% on the test set.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129167785","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

A collaborative situation-aware scheme for mobile service recommendation 一种面向移动服务推荐的协同态势感知方案

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121643

M. Cimino, B. Lazzerini, F. Marcelloni, G. Castellano, A. Fanelli, M. Torsello

引用次数: 4

Minimum redundancy maximum relevancy versus score-based methods for learning Markov boundaries 最小冗余最大相关性与基于分数的马尔可夫边界学习方法

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121724

Silvia Acid, L. M. D. Campos, Moisés Fernández

引用次数: 8

Ordinal classification of depression spatial hot-spots of prevalence 抑郁症流行空间热点的有序分类

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121817

M. Pérez-Ortiz, Pedro Antonio Gutiérrez, C. García-Alonso, L. Salvador-Carulla, J. Salinas-Pérez, C. Hervás‐Martínez

引用次数: 9

Optimization of natural gas transmission network using genetic algorithm 基于遗传算法的天然气输气网络优化

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121671

A. Jamshidifar

{"title":"Optimization of natural gas transmission network using genetic algorithm","authors":"A. Jamshidifar","doi":"10.1109/ISDA.2011.6121671","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121671","url":null,"abstract":"In this paper, an Evolutionary approach for optimization of cyclic Gas Transmission Network (GTN) is presented. The GTNs comprise of nodes, links, compressor stations and valves where the last one is a main component of GTNs which generally not considered in similar works. In this approach, at first a reduced network will be generated from the original GTN and the cycles of the reduced network will be identified. Then an iterative approach will be used to find the cycles flows which optimize the objective function. This approach calculates the pressure variables at fixed flow rates using dynamic programming (DP) and updates the gas flow rates to improve the objective function in every iteration. The objective function is a weighted summation of total number of running compressor stations and their total fuel consumption. The flow rates will be updated using Genetic Algorithm (GA) which is modified to speed up its convergence. The main modifications are related to decomposing of chromosomes to subchromosomes and finding the upper and lower limits for crossover and mutation. A number of real examples of Iranian GTN are exploited to support the proposed approach.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"297 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114171403","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

A framework for evaluating rabbit-breeding farm in the mediterranean: A TOPSIS approach 评估地中海地区养兔场的框架:TOPSIS方法

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121751

E. Cables, M. García-Cascales, M. Gómez-López, M. T. Lamata

{"title":"A framework for evaluating rabbit-breeding farm in the mediterranean: A TOPSIS approach","authors":"E. Cables, M. García-Cascales, M. Gómez-López, M. T. Lamata","doi":"10.1109/ISDA.2011.6121751","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121751","url":null,"abstract":"The rural venture farm needs to develop improved methods for evaluating the performance of its projects. We are interested in the problems of the implementation of a rabbit-breeding farm. One of the first decisions to be taken refers to the type of the structure for housing the animals. In general, greater environmental control requires more technology and a greater investment cost, but also yields higher levels of production which are, above all, uniform over time. Considering that we are faced with a problem that includes different, in some cases contradictory, aspects, we have decided to carry out a multicriteria analysis, using five evaluation criteria. We assume there is no quantitative information available for the decision but only linguistic information can be used. The main purpose of this paper is to study the problem by means of the fuzzy TOPSIS Method for multicriteria decision making, when the information regarding the alternatives is quantified by means of fuzzy numbers and the information about criteria is obtaining by means of a linear ordered weighted averaging operator.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120959703","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

Short-term daily peak load forecasting using fast learning neural network 基于快速学习神经网络的短期日峰值负荷预测

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121762

G. M. Khan, Shahid N. Khan, F. Ullah

引用次数: 28

A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm 序数度量指导多目标进化算法的初步研究

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121818

M. Cruz-Ramírez, C. Hervás‐Martínez, J. Sánchez-Monedero, Pedro Antonio Gutiérrez

引用次数: 24