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- By taking advantages of machine learning,the ambig... 数值实验验证了本文方法的有效性和优越性。
- Support vector machines(SVMs) are based on statistical learning theory(SLT).It has been hot research in machine learning area. 支持向量机是一种基于统计学习理论的机器学习方法,成为当前国际机器学习界的研究热点。
- BVM(Ball Vector Machine)is a faster machine learning algorithm than SVM. 球向量机是一种比SVM更快的机器学习方法。
- MAS learning is a domain intercrossed between MAS and machine learning. 多智能体学习是多智能体系统和机器学习等研究领域的交叉。
- Quinlan, J.R. Induction of Decision Trees, Machine Learning, 1:81-106, 1986. 胡守仁;余少波;戴葵;(1993).;神经网络导论
- Kernel method is now a powerful alternative in many machine learning tasks. 摘要核方法是机器学习中一种强有力的学习算法。
- Applied a novel machine learning algorithm-least squares support vector machines (LSSVM) into coal washery daily water consumption times series prediction. 摘要针对选煤厂日用水量时间序列的预测问题,提出应用最小二乘支持向量机(LSSVM)这一新的机器学习方法来实现日用水量的短期预测。
- Do you want to find out how statistics and machine learning can save you time and effort mining text? 你想知道统计学和机器学习在挖掘文本方面能够让你省时省力的原因吗?
- Machine learning framework 1.3 Adds a range of new functions required for real-life data-mining projects. machine learning framework 1.;3增加了一系列的现实中进行数据采矿项目所需的新函数。
- The Exchange Intelligent Message Filter is based on patented machine learning technology from Microsoft Research. Exchange智能邮件筛选器是以Microsoft Research拥有专利权的机器学习技术为基础的。
- When did you begin learning English? 你何时开始学习英语的?
- Case-Based Reasoning(CBR) technique is the fore realm of AI and machine learning. 基于实例的推理技术(Case-Based Reason ing,CBR)是人工智能及机器学习领域中的前沿方向。
- Determined to "Senanayake" card (ARCADE) machine learning to China, the China service! 立志“亚克”牌(ARCADE)机床习向神州、服务神州!
- Washing machines take the drudgery out of laundry. 洗衣机把洗衣工作带出了洗衣房。
- Imputing missing values is one of the challenges in data mining and machine learning. 摘要 缺失填补是机器学习与数据挖掘领域中极富有挑战性的工作。
- In order to demonstrate the accuracy of this proposed model, UCI Machine Learning Repository is used for evaluation. 最后,本研究以一公开的UCI资料库所载资料来验证所提方法的有效性,并与其它相关方法做比较。
- Classification is an important research field in data mining, pattern recognition and machine learning. 分类是数据挖掘、机器学习和模式识别中一个重要的研究领域。
- The machines are driven by electric motors. 这些机器都是由电动机驱动的。
- Work done by machines has replaced manual labour. 机器生产已经代替了手工劳作。
- Therefore, it is necessary for ones to integrate machine learning into bioinformatics. 因而,生物信息学与机器学习相结合也就成了必然。