Unifying Modern Approaches in Machine Learning

拟议的研究将为一些重要的机器学习问题带来更好的算法，这可能会带来更好的工具，从数据中提取有用的知识，如生物信息学和传感器网络；它将加强与世界顶级机器学习研究中心之一的国际合作；它将为机器学习算法的开源工具包做出贡献，这将使澳大利亚成为复杂机器学习软件的提供者；它将为几名博士生和一名博士后提供培训机会，让他们与世界上一些最好的机器学习研究人员一起工作。

The proposed research will lead to better algorithms for some important machine learning problems that could lead to better tools for extracting useful knowledge from data such as in bioinformatics and sensor networks; it will strengthen an international collaboration with one of the world's top centres of machine learning research; it will contribute to an open source toolkit of machine learning algorithms which will put Australia on the map as a provider of sophisticated machine learning software; it will provide training opportunities for several PhD students and a postdoc to work with some of the best machine learning researchers in the world.