Sixth International Conference on Machine Learning and Applications (ICMLA 2007)最新文献_第9页

A hierarchical feature decomposition clustering algorithm for unsupervised classification of document image types 一种用于文档图像类型无监督分类的分层特征分解聚类算法

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-13 DOI: 10.1109/ICMLA.2007.13

Dean Curtis, V. Kubushyn, E. Yfantis, M. Rogers

引用次数: 4

Extraction of minimum decision algorithm using rough sets and genetic algorithms 利用粗糙集和遗传算法提取最小决策算法

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-13 DOI: 10.1109/ICMLA.2007.51

M. Hirokane, Shusaku Kouno, Y. Nomura

引用次数: 1

An application of a rule-based model in software quality classification 基于规则的模型在软件质量分类中的应用

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-13 DOI: 10.1109/ICMLA.2007.69

Lofton A. Bullard, T. Khoshgoftaar, Kehan Gao

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引用次数: 10

Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes 理解保存和重建计算机辅助医疗决策过程中的挑战

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-13 DOI: 10.1109/ICMLA.2007.92

Sang-Chul Lee, Peter Bajcsy

{"title":"Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes","authors":"Sang-Chul Lee, Peter Bajcsy","doi":"10.1109/ICMLA.2007.92","DOIUrl":"https://doi.org/10.1109/ICMLA.2007.92","url":null,"abstract":"This paper addresses the problem of understanding preservation and reconstruction requirements for computer- aided medical decision-making. With an increasing number of computer-aided decisions having a large impact on our society, the motivation for our work is not only to document these decision processes semi-automatically but also to understand the preservation cost and related computational requirements. Our objective is to support computer-assisted creation of medical records, to guarantee authenticity of records, as well as to allow managers of electronic medical records (EMR), archivists and other users to explore and evaluate computational costs (e.g., storage and processing time) depending on several key characteristics of appraised records. Our approach to this problem is based on designing an exploratory simulation framework for investigating preservation tradeoffs and assisting in appraisals of electronic records. We have a prototype simulation framework called image provenance to learn (IP2Learn) to support computer-aided medical decisions based on visual image inspection. The current software enables to explore some of the tradeoffs related to (1) information granularity (category and level of detail), (2) representation of provenance information, (3) compression, (4) encryption, (5) watermarking and steganography, (6) information gathering mechanism, and (7) final medical report content (level of detail) and its format. We illustrate the novelty of IP2Learn by performing example studies and the results of tradeoff analyses for a specific image inspection task.","PeriodicalId":448863,"journal":{"name":"Sixth International Conference on Machine Learning and Applications (ICMLA 2007)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126728805","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

Bias-variance tradeoff in hybrid generative-discriminative models 生成-判别混合模型中的偏差-方差权衡

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-01 DOI: 10.1109/ICMLA.2007.85

Guillaume Bouchard

引用次数: 30

A comparison of two algorithms for predicting the condition number 预测条件数的两种算法的比较

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-01 DOI: 10.1109/ICMLA.2007.8

Guénaël Cabanes, Younès Bennani

引用次数: 24

Improvement of Bayesian Network Inference Using a Relaxed Gene Ordering 基于放宽基因排序的贝叶斯网络推理改进

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-01 DOI: 10.1109/ICMLA.2007.68

D. Zhu, Hua Li

引用次数: 6

LEONARDO - The computational intelligence (CI) model selection wizard LEONARDO -计算智能(CI)模型选择向导

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-01 DOI: 10.1109/ICMLA.2007.57

Thanh-Nghi Do, Jean-Daniel Fekete

引用次数: 28

Large Scale Classification with Support Vector Machine Algorithms 支持向量机算法的大规模分类

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 2007-12-01 DOI: 10.1109/icmla.2007.25

Thanh-Nghi Do, Jean-Daniel Fekete

引用次数: 27

Supervised reinforcement learning using behavior models 使用行为模型的监督强化学习

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) Pub Date : 1900-01-01 DOI: 10.1109/icmla.2007.14

Víctor Uc Cetina

引用次数: 7