然后，该系统利用多种机器学习技术进行自我培训，以便以一种近乎即时的方式对众多短文或答案进行自动评分。
The system then uses a variety of machine-learning techniques to train itself to be able to grade any number of essays or answers automatically and almost instantly.
这款安卓系统应用程序通过使用手机的机器学习和图像识别技术，在机主打电话时，随时准备采用手机发出警报来提醒通话者即将到来的危险。
Their Android app uses machine learning and image recognition that takes place right on your phone to alert you when you’re chatting your way right into an oncoming smash-up.
广告系统使用计算机影像和机器学习元素来交付目标广告体验。
AD system USES elements of computer vision and machine learning to deliver a targeted advertising experience.
也许最好的办法是使用人工智能和机器学习进军多个系统。
Perhaps the best approach is to use AI and machine learning to tap into multiple systems.
试验运行表明，采用机器学习后的专家系统不仅能提高智能水平，而且能扩大实用范围。
The experimental result shows that machine learning not only obviously improves the intelligence, but also expands the application range of an expert system.
支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。
Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
KDD是一门新兴的交叉学科，主要涉及机器学习、统计学、数据库、专家系统以及数据可视化等多个学科领域。
KDD is a newly emerging and multi-disciplinary field of research; machine learning, statistics, database technology, expert systems and data visualization all make a contribution.
因此，将机器学习理论应用到自动谈判系统中成为电子商务领域的最新研究课题。
The problem of how to combine machine learning theories into automated negotiation system has got more attention recently.
对UCI机器学习数据库的实验证明，相对于其它方法，EPD方法对多分类器系统性能的预测能力更强。
The experiments on UCI Machine Learning Repository prove that, compared to existing measures, EPD shows stronger ability in predicting the performance of multiple classifier systems.
医学诊断；机器学习；倒传递网路；适应性类神经模糊推论系统。
Medical Diagnosis; Machine Learning; Back-Propagation Neural Network; Adaptive Neural Fuzzy Inference System.
将机器学习技术引入网络信息检索系统是提高其智能性的关键。
It is a key to apply machine learning technology for the improvement of the intelligence of network information retrieval system.
目前，该算法已广泛应用于组合优化、系统控制、机器学习和数据挖掘等领域，并取得了许多令人瞩目的成果。
Now, it's widely applied in the fields of combination optimizing, system controlling, machine learning, and data warehouse and so on, and has got plentiful fruits.
语义网络作为一种模拟人类的语言的知识表示方法，在开发智能系统和机器学习领域中具有重要的地位和作用。
As the knowledge representation methods simulating human language, semantic network has significant impact and position in intelligence system development and machine learning fields.
实验结果表明，该识别系统在用于剪接位点的识别中，较常用的机器学习方法，获得了更高识别率。
The experimental results show that the HMM identification system acquires higher rate in the splice site identification than popular machine learning techniques.
他的研究兴趣包括数据挖掘、机器学习以及推荐系统。
His research interests include data mining, machine learning, and recommendation systems.
实验显示，相比单纯的基于机器学习的分类系统，这种组合型分类器产生了8%的性能提升。
The experiment result shows that there is 8% performance improvement compared with the single classifying method based on machine learning.
本文研究并实现了基于机器学习的分词系统。
The system of Chinese word segmentation based on machine learning is researched and implemented.
该算法的有效性已由计算机仿真实验所证实，可被认为是一种很有发展前途的模式分类系统的机器学习算法。
Its effectiveness has been testified by computer simulating experiment and it can be regarded as a promising machine learning for the pattern classification system.
在最大熵等统计机器学习模型当中，特征函数的选择可以说是对系统整体性能影响最大的部分。
The feature functions were reckoned as the most important part of the maximum entropy model which could affact the last result of system.
这个领域 有很多术语，例如连接机制、并行分布处理、神经计算、自然智能系统、机器学习算法和人工神经网络。
The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks.
它不仅被许多研究人员看作是数据库系统和机器学习方面一个重要的研究课题，而且被许多工商界人士看作一个能带来巨大回报的重要领域。
They are regarded not only as the important task in the fields of database system and machine learning by researchers, but also as the important field which can bring large reword by businessmen.
一种高效的过滤模板可以降低整个文本过滤系统对机器学习机制的要求，提高系统的过滤效率。
An effective filtering profile can debase the request from the whole text filtering system to the machine learning mechanism and improve filtering efficiency of system.
实验结果表明，系统所使用的轮廓线向量图像特征也能够较有效地应用于图像方向分类，而机器学习则能够有效地为之建立决策树分类模型。
Using teacher images and machine learning method, an image direction classification model is built as a decision tree. Test results argued the validity of this method.
本文提出了基于过程奖赏和优先扫除的强化学习算法作为多机器人系统的冲突消解策略。
A reinforcement learning algorithm based on process reward and prioritized sweeping is presented as interference solving strategy.
本文提出了基于过程奖赏和优先扫除的强化学习算法作为多机器人系统的冲突消解策略。
A reinforcement learning algorithm based on process reward and prioritized sweeping is presented as interference solving strategy.
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