尽管阿连德很随意地借鉴了加夫列尔·加西亚·马尔克斯的作品，她仍然在魔幻现实主义的架构中拥有一种强有力的原创表达。
While Allende borrows a bit too freely from Gabriel Garcia Marquez's work, she nevertheless has a powerful and original voice within the construct of magical realism.
基于马尔科夫过程的强化学习作为一种在线学习方式，能够很好地应用于单智能体环境中。
Reinforcement learning based on Markov decision process is a way of on-line learning, which can be applied to single agent environment.
当你独自旅行时，你可以选择出游地。想去马尔丁、柏林、利沃夫和曼谷吗？你还在等什么呢？如果你能承担费用，那就自己去吧！ ！
When you travel alone, you choose where you go. Want to visit Mardin? Berlin? Lviv? Bangkok? What are you waiting for? Do it alone, if you can afford it!
特别地，约化模型应用了随机过程中的马尔科夫理论。
Particularly, the markov theory of random process has been used in reduced model.
高斯·马尔科夫序列实验表明，该算法较好地实现了全局最优，并有助于克服对初始码书较为敏感的缺点。
The experiments of Gauss Markov sequences show that the algorithm has better achieved the global optimal point and helps overcome the shortcoming of the sensitivity to initial codebook.
最大熵马尔可夫通过改变概率转移函数，使得状态的转移与输入值以及前一状态相联系，很好地体现了序列的上下文信息。
MEMM change the probability function of the transition, so the current state is related to its previous state, and the context information is represented.
马尔科夫过程模型已经广泛地应用于系统可靠性评价中。
Markov Process Model has been widely used in system reliability evaluation.
另外，针对一个硬件DPLL进行了测试，与马尔可夫链模型获得的结果进行比较，发现理论预测与实验能很好地吻合。
Additionally, a hardware DPLL is constructed and tested to provide a comparison to the results obtained from the Markov chain model. It is found that the theoretical predictions are in...
隐马尔可夫模型正在被愈来愈多地引入到生物医学信号的处理中。
Hidden Markov Model is now being applied increasingly in biomedical signal processing.
针对遥感图像分布的不均匀特性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。
As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model's parameters during the classification procedure.
本论文详细地介绍了隐马尔可夫模型的理论方法，突出了语音信号隐马尔可夫模型分析的重要性。
This thesis introduced in detail theories method of the Hidden Markov Model, outstanding the importance that Hidden Markov Model used in speech signal.
针对遥感图像分布的不均匀性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。
As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model "s parameters during the classification procedure."
针对遥感图像分布的不均匀性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。
As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model "s parameters during the classification procedure."
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