PBIL algorithm is a probability learning based evolutionary algorithm.
PBIL算法是一种基于概率分析的进化算法。
Lottery is a low probability event, purely belongs to probability learning areas.
彩票是一种低概率事件，纯属概率学范畴。
Currently, I'm learning the Probability course.
目前我正在修概率论课程。
Probability theory captures a number of essential characteristics of human cognition, including aspects of perception, reasoning, belief revision, and learning.
机率理论涵盖了人类认知中的许多重要特征，包括感知、推理、信念改变和学习方面。
Currently, I'm learning your Probability course.
目前，我正在学习你的概率课。
This paper introduces various common methods in probability data learning and make comparison among them under various application background.
本文介绍和比较了概率参数学习的各种常用方法，并探求了它们在不同应用背景下的优缺点。
The characteristic of the Bayes method is to use probability to express the uncertainty of all forms, learning and the reasoning of other forms are all realized with the rule of probability.
贝叶斯方法的特点是使用概率去表示所有形式的不确定性，学习或其他形式的推理都用概率规则来实现。
Fact, apart from learning technology, we can by other means to overcome, you know, a good environment can give people thinking more agile, the probability of error will be reduced!
其实除了学习技术外，我们可以通过其他的方法来克服，大家知道，一个良好的环境，可以使人的思维更加敏捷，出错的概率就会减小！
Probability theory is the only reasonable way to represent uncertainty, it is useful for machine learning or reasoning under uncertainty.
概率论是表示不确定性的唯一合理的方法，概率论对于机器学习或不确定情况下的推理是有用的。
Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.
贝叶斯学习是一种基于已知的概率分布和观察到的数据进行推理，做出最优决策的概率手段。
Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.
贝叶斯学习理论使用概率去表示所有形式的不确定性，通过概率规则来实现学习和推理过程。
Attitude decides the biggest probability of (success) and the whole learning for success.
态度决定了成功的最大概率，决定了成功的全部学问。
Attitude decides the biggest probability of (success) and the whole learning for success.
态度决定了成功的最大概率，决定了成功的全部学问。
应用推荐