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NIEME

Nieme
课程网址: http://videolectures.net/mloss08_maes_nieme/  
主讲教师: Francis Maes
开课单位: 皮埃尔和玛丽居里大学
开课时间: 2008-12-20
课程语种: 英语
中文简介:
Nieme是一个用于大规模分类,回归和排名的机器学习库。它依赖于能量模型的框架,该模型统一了几种学习算法,范围从简单的感知最近的模型,如Pegasos支持向量机或L1正则化最大熵模型。这个框架也统一了批量和随机学习,它们都被视为能量最小化问题。因此,Nieme可用于各种情况,但对于非常大规模的学习任务尤其有用,其中示例和特征都是逐步处理的。能够在学习过程中随时处理新的传入功能是Nime工具箱的另一个关键特性。 Nieme根据GPL许可发布。它在C和Linux,MacOS和Windows上都得到了很好的实现。接口可用于C,Java和Python。
课程简介: Nieme is a machine learning library for large-scale classification, regression and ranking. It relies on the framework of energy-based models which unifies several learning algorithms ranging from simple perceptrons to recent models such as the Pegasos support vector machine or L1-regularized maximum entropy models. This framework also unifies batch and stochastic learning which are both seen as energy minimization problems. Nieme can hence be used in a wide range of situations, but is particularly interesting for very- large-scale learning tasks where both the examples and the features are processed incrementally. Being able to deal with new incoming features at any time within the learning process is another key feature of the Nieme toolbox. Nieme is released under the GPL license. It is efficiently implemented in C++ and works on Linux, MacOS and Windows. Interfaces are available for C++, Java and Python.
关 键 词: 机器学习库; 能量模型; 学习算法
课程来源: 视频讲座网
最后编审: 2019-06-30:yuh
阅读次数: 43