A Bayes Algorithm for the Multitask Pattern Recognition Problem ― Direct Approach

机译：用于多任务模式识别问题的贝叶斯算法-直接法

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The paper presents algorithms of the multitask recognition for the direct approach. First one, with full probabilistic information and second one, algorithms with learning sequence. Algorithm with full probabilistic information was working on basis of Bayes decision theory. Full probabilistic information in a pattern recognition task, denotes a knowledge of the classes probabilities and the class-conditional probability density functions. Optimal algorithm for the selected loss function will be presented. Some tests for algorithm with learning were done.

机译：本文提出了用于直接方法的多任务识别算法。第一个具有完整的概率信息，第二个具有学习序列的算法。具有充分概率信息的算法正在贝叶斯决策理论的基础上工作。模式识别任务中的全部概率信息表示类概率和类条件概率密度函数的知识。将介绍所选损失函数的最佳算法。完成了一些学习算法测试。

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《International Conference on Computational Science - ICCS 2003 Pt.3 Jun 2-4, 2003 Melbourne, Australia and St. Petersburg, Russia》|2003年|p.3-10|共8页
会议地点 Melbourne(AU) St. Petersburg(RU);Melbourne(AU) St. Petersburg(RU)
作者
Edward Puchala;
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作者单位

Wroclaw University of Technology, Chair of Systems and Computer Networks, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland;

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原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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1. SYNTHESIS OF BAYES ALGORITHMS FOR MULTIALTERNATIVE RECOGNITION OF PATTERNS SET BY SOPHISTICATED STANDARD DESCRIPTIONS [J] . G. V. Pevtsov Radioelectronics and Communications Systems . 2003,第1期

机译：基于复杂标准描述的贝叶斯算法的多交替识别模式集的合成
2. Bayes empirical Bayes approach to unsupervised learning of parameters in pattern recognition [J] . Li TF. Pattern Recognition: The Journal of the Pattern Recognition Society . 2000,第2期

机译：贝叶斯经验贝叶斯方法在模式识别中的无监督学习
3. An empirical Bayes approach for learning directed acyclic graph using MCMC algorithm [J] . Vahid Rezaei Tabar, Hamid Zareifard, Selva Salimi, Statistical Analysis and Data Mining . 2019,第5期

机译：MCMC算法学习指导非循环图的经验贝叶斯方法
4. A Bayes Algorithm for the Multitask Pattern Recognition Problem-Direct Approach [C] . Edward Puchala International conference on computational science . 2003

机译：用于多任务模式识别问题的贝叶斯算法 - 直接方法
5. Soar CGFs that learn inductively: A hybrid autonomous approach based on a modified naive Bayes learning algorithm. [D] . Chia, Chien Wei. 2003

机译：腾飞的CGF可以归纳学习：一种基于改进的朴素贝叶斯学习算法的混合自主方法。
6. Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification [O] . Stan Matwin, Vera Sazonova 2012

机译：支持向量机与多项朴素贝叶斯算法在医学抽象分类中的直接比较
7. IMPLEMENTING DENSE LINEAR ALGEBRA ALGORITHMS USING MULTITASKING ON THE CRAY X-MP-4 (OR APPROACHING THE GIGAFLOP) [O] . Jack J. Dongarra, Tom Hewitt 1986

机译：在Cray X-MP-4上使用多重标注（或逼近GIGAFLOP）实现密集的线性代数算法
8. Implementing Dense Linear Algebra Algorithms Using Multitasking on the CRAY X-MP-4 (Or Approaching the Gigaflop) [R] . Dongarra, J. J., Hewitt, T. 1985

机译：在CRaY X-mp-4上使用多任务执行密集线性代数算法（或接近Gigaflop）

A Bayes Algorithm for the Multitask Pattern Recognition Problem ― Direct Approach

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