2006 5th International Conference on Machine Learning and Applications (ICMLA'06)最新文献_第2页

A New Machine Learning Technique Based on Straight Line Segments 一种新的基于直线段的机器学习技术

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.8

J. Ribeiro, R. F. Hashimoto

引用次数: 6

Ensemble Classifiers for Medical Diagnosis of Knee Osteoarthritis Using Gait Data 基于步态数据的膝骨关节炎医学诊断集成分类器

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.22

Nigar Sen Köktas, N. Yalabik, G. Yavuzer

{"title":"Ensemble Classifiers for Medical Diagnosis of Knee Osteoarthritis Using Gait Data","authors":"Nigar Sen Köktas, N. Yalabik, G. Yavuzer","doi":"10.1109/ICMLA.2006.22","DOIUrl":"https://doi.org/10.1109/ICMLA.2006.22","url":null,"abstract":"Automated or semi-automated gait analysis systems are important in assisting physicians for diagnosis of various diseases. The objective of this study is to discuss ensemble methods for gait classification as a part of preliminary studies of designing a semi-automated diagnosis system. For this purpose gait data is collected from 110 sick subjects (having knee osteoarthritis (OA)) and 91 age-matched normal subjects. A set of multilayer perceptrons (MLPs) is trained by using joint angle and time-distance parameters of gait as features. Large dimensional feature vector is decomposed into feature subsets and the ones selected by gait expert are used to categorize subjects into two classes; healthy and patient. Ensemble of MLPs is built using these distinct feature subsets and diversification of classifiers is analyzed by cross-validation approach and confusion matrices. High diversifications observed in the confusion matrices suggested that using combining methods would help. Indeed, when a proper combining rule is applied to decomposed sets, more accurate results are obtained. The result suggests that ensemble of MLPs could be applied in the automated diagnosis of gait disorders in a clinical context","PeriodicalId":297071,"journal":{"name":"2006 5th International Conference on Machine Learning and Applications (ICMLA'06)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123641348","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: 15

Information of Binding Sites Improves Prediction of Protein-Protein Interaction 结合位点的信息改善了蛋白质相互作用的预测

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.29

Tapan P. Patel, Manoj Pillay, Rahul Jawa, Li Liao

{"title":"Information of Binding Sites Improves Prediction of Protein-Protein Interaction","authors":"Tapan P. Patel, Manoj Pillay, Rahul Jawa, Li Liao","doi":"10.1109/ICMLA.2006.29","DOIUrl":"https://doi.org/10.1109/ICMLA.2006.29","url":null,"abstract":"Protein-protein interaction is essential to cellular functions. In this work, we describe a simple, novel approach to improve the accuracy of predicting protein-protein interaction by incorporating the binding site information. First, we assess the importance of the seven attributes that are used by Bradford et. al (2005) for predicting protein binding sites. The leave-one-out cross validation experiments and principal component analysis indicate that some attributes such as residue propensity and hydrophobicity are more important than other attributes such as curvedness and shape index in differentiating a binding patch from nonbinding patch. Second, we incorporate those attributes to predict protein-protein interaction by simple concatenation of the attribute vectors of candidate interacting partners. A support vector machine is trained to predict the interacting partners. This is combined with using the attributes directly derived from the primary sequence at the binding sites. The results from the leave-one-out cross validation experiments show significant improvement in prediction accuracy by incorporating the structural information at the binding sites","PeriodicalId":297071,"journal":{"name":"2006 5th International Conference on Machine Learning and Applications (ICMLA'06)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121421936","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: 10

A Feature Selection Algorithm for Detecting Subtype Specific Functional Sites from Protein Sequences for Smad Receptor Binding 一种检测Smad受体结合蛋白序列亚型特异性功能位点的特征选择算法

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.7

E. Marchiori, W. Pirovano, J. Heringa, K. Feenstra

引用次数: 5

Horizon Detection Using Machine Learning Techniques 利用机器学习技术进行地平线检测

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.25

Sergiy Fefilatyev, Volha Smarodzinava, L. Hall, Dmitry Goldgof

引用次数: 99

An Adaptable Time Warping Distance for Time Series Learning 一种用于时间序列学习的自适应时间翘曲距离

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.12

R. Gaudin, N. Nicoloyannis

引用次数: 12

An Intelligent Automatic Fingerprint Recognition System Design 智能指纹自动识别系统设计

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.15

Necla Özkaya, Ş. Sağiroğlu, M. Wani

引用次数: 17

A Printing Workflow Recommendation Tool--Exploiting Correlations between Highly Sparse Case Logs 一个打印工作流推荐工具——利用高度稀疏的案例日志之间的相关性

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.10

Ming Zhong, Tong Sun

{"title":"A Printing Workflow Recommendation Tool--Exploiting Correlations between Highly Sparse Case Logs","authors":"Ming Zhong, Tong Sun","doi":"10.1109/ICMLA.2006.10","DOIUrl":"https://doi.org/10.1109/ICMLA.2006.10","url":null,"abstract":"As a user preference prediction mechanism, recommendation techniques have been widely used to support personalized information filtering in current e-commerce applications. We build a recommendation tool into the existing Xerox printing workflow configuration system in order to provide new users with a number of solutions that are possibly of their interests. Such solution recommendations can significantly improve the system efficiency and accuracy by reducing workflow generation overhead and helping users quickly identify their needs. In our work, the main challenge is the high sparsity inherent to our application data - most fields have missing values due to a customer's lack of background or uncertainty on their specific needs. We address this problem by using latent semantic indexing (LSI) to merge original sparse data records into dense and semantic records. The generated dense data are then grouped into clusters based on their correlations. These clusters, together with their user patterns and representative workflows, are used to support efficient online workflow recommendation. Our implemented tool is able to achieve 83% accuracy on a dataset of 4569 case logs with 91% average sparseness","PeriodicalId":297071,"journal":{"name":"2006 5th International Conference on Machine Learning and Applications (ICMLA'06)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123198754","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

Learning the Threshold in Hierarchical Agglomerative Clustering 层次聚类阈值的学习

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.33

K. Daniels, C. Giraud-Carrier

引用次数: 23

Market Mechanism Designs with Heterogeneous Trading Agents 具有异质交易主体的市场机制设计

2006 5th International Conference on Machine Learning and Applications (ICMLA'06) Pub Date : 2006-12-14 DOI: 10.1109/ICMLA.2006.34

Zengchang Qin

引用次数: 10