Klose is also a reported target for Chelsea, Bayern Munich and Barcelona.

Then he had Gabriel Batistuta at Fiorentina, Oliver Kahn at Bayern Munich.

然后他无疑德罗巴更有侵略性在佛罗伦萨, 卡恩在拜仁慕尼黑.

S : I watched the game against Bayern, and you played great.

我看了你们跟拜仁的比赛, 你踢的很好!

We are still trying hard but Bayern are proving stubborn and resistant.

我们仍会努力尽管拜仁一直顽固坚持. 我能够理解他们但我们会尽力的.

Chelsea are pondering a move for Bayern Munich striker Claudio Pizarro.

切尔西正在考虑引进拜仁慕尼黑射手克拉迪奥.皮萨罗.

Bayern Munich have confirmed their interest in Chelsea winger Arjen Robben.

拜仁证实了他们对罗本的兴趣.

Any Brazilian with a winning mentality is always welcome at Bayern!

任何带着进取心的巴西球员在拜仁都是受欢迎的!

F-Fussballgott : Das rufen die Bayern-Fans , wenn der Stadionsprecher Schweinis Namen ruft.

进餐: 巴斯蒂喜欢吃意大利菜.

When asked about the link with Bayern Munich, Robben Snr said: Nonsense.

当被问及与拜仁慕尼黑有联系时, 老鲁本说: 一派胡言.

He was also a target for Manchester United, Bayern Munich and Barcelona.

他也曾是曼联, 拜仁和巴萨的目标.

Even Stuttgart are referring to Bayern as the favourites.

甚至斯图加特也把拜仁列为其最中意的.

Bayern Munich have joined the race for Fiorentina striker Luca Toni.

拜仁慕尼黑已经加入到对佛罗伦萨前锋卢卡.托尼的兴趣行列中.

You expect this at Bayern where there's so much politics and in-fighting.

你想想看,这是在拜恩州,这里有如此多的政治问题以及暗斗.

Bayesian network and Boolean network are powerful tools to genetic networks research.

布尔网络模型和贝叶斯网络模型都是研究基因调控网络的有力工具.

At present the Bayesian networks is applied widely in each field.

摘要目前贝叶斯网络在各种领域得到了广泛的应用.

We study the gene regulatory network of yeast using Bayesian networks.

本篇论文主题在于利用贝氏网路探讨酵母菌基因调控网路的问题.

Compared with Bayesian classification model, experimental results show SANBC has higher accuracy.

实验结果表明,与朴素贝叶斯分类模型相比,SANBC分类模型具有较高的分类正确率.

Tenenbaum, J . B . ( 2003 ) . Introduction to probability and Bayesian inference.

2003年 ), 《机率与贝氏推断的简介》.

The statistical Bayesian channel estimation was investigated in the CDMA TDD mode.

分析了CDMA时分模式下的统计贝叶斯信道估计.

Bayesian inference is a valid approach used in geophysical problems.

贝叶斯理论是一种应用在地球物理问题中的有效方法.

Recognition and achieves better performance than traditional Bayesian Classifier.

贝叶斯人脸识别方法更优的性能.