learning algorithm的例句大全

The methods of BSS and ICA are belong to a class of unsupervised learning algorithm, its algorithm theory and practical application are related the optimization of a number of areas of mathematics and neuroscience.

目前，ICA已经成为盲源分离的主流方法。BSS与ICA都属于一类无监督学习算法，他们的算法理论与实际应用涉及到优化数学和神经科学等多个领域。

The Principle& Learning Algorithm of Nonlinear CC Neural Model

非线性CC神经元模型的原理及其学习算法

An Unsupervised Learning Algorithm Based on Classification Weight and Mass Center Driving

基于分类权与质心驱动的无监督学习算法

Multiple Attribute Information Decision Making Mode and Application Via Improved Fast Unsupervised Learning Algorithm

多属性信息决策的改进无监督学习算法建模与应用

We can derive a self-organizing learning algorithm that maximizes the information transferred in a network of nonlinear units.

信息最大化方法将信息理论与神经网络相结合，根据使网络中所传递的信息量最大，推导出一种无监督学习准则。

As an important unsupervised learning algorithm without pre-marked samples in machine learning, clustering has been well developed in recent years.

聚类作为机器学习中一种重要的无监督学习算法，具有无需事前标记样本类型等优点，在近些年得到了很好地发展和应用。

The paper presents an unsupervised learning algorithm to learn answer pattern for answer extraction module of Chinese Question Answering ( QA).

本文提出了一种基于无监督学习算法的问答模式抽取技术从互联网上抽取应用于汉语问答系统的答案模式。

Classification accuracy of unsupervised learning algorithm is usually not satisfactory, so people tend to make use of supervised learning in practice.

由于无监督学习的准确率通常不能令人满意，在实际应用中人们趋向于运用有监督方法。

Currently, there are so many research on machine learning algorithm, and machine learing algorithm can be divided into supervised and unsupervised.

目前基于机器学习算法的研究较多，大致可以分为有监督和无监督学习两类。

We attempt to learn the robust manifold learning algorithm for different applications by three approaches of de-noising, supervised learning, and unsupervised learning.

分别从除噪、监督学习、无监督学习三个方面入手，研究能适应不同应用场景的健壮流形学习算法。

A Multi-agent Cooperative Reinforcement Learning Algorithm Based on Team Markov Game

一种基于团队马尔可夫博弈的多agent协同强化学习算法

Experiments show that multi-label covering algorithm performs at par with other multi-label learning algorithms and has the advantage of lower time/ space cost.

实验表明，多标记覆盖算法的性能达到了同类算法中的先进水平，并且在时空开销上具有优势。

Multi Mobile Agent Learning Algorithm Based on Reinforcement Learning

基于强化学习的多移动Agent学习算法

Using Quantum Genetic Algorithm to Improve BP Learning Algorithm

利用量子遗传算法改进BP学习算法

For the training parameters α,β are vital to the performance of face detector, we present an amended Winnow learning algorithm.

这个人脸检测方法中，训练参数α、β对于检测器的性能起着至关重要的作用。因此，本文提出了一种修正的Winnow训练算法，这个算法在训练过程中动态计算训练参数α、β。

A Shunting Inhibition Neural Network Structure and Learning Algorithm

一种并联抑制神经网络结构及学习算法

The Generalized PID Real Time Recurrent Learning Algorithm

广义PID实时递归学习算法

Q learning algorithm is the most popular reinforcement learning algorithm, but the algorithm exist some problems.

目前主流的强化学习算法是Q学习算法，但Q学习本身存在一些问题。

Q-learning algorithm in the reinforcement learning needs a lot of storage space while solving the more complex problems.

而强化学习中的Q学习算法在解决较为复杂问题时，需要大量的存储空间，忆阻交叉阵列恰好能够解决这个问题。

A new ensemble-learning algorithm-Random Forest is applied in this paper. As a consequence, the selected index system is more objective and more suitable for machine learning.

本文引进组合学习算法的新方法随机森林（Random Forest，RF）来选择指标，使得到的指标体系更加客观，更加符合机器学习的特点。