图 书 馆开课单位--澳大利亚国立大学
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21Universal Artificial Intelligence [通用人工智能]
Marcus Hutter(澳大利亚国立大学) The dream of creating artificial devices that reach or outperform human intelligence is many centuries old. In this course I will present an elegant p...
热度：63
Marcus Hutter(澳大利亚国立大学) The dream of creating artificial devices that reach or outperform human intelligence is many centuries old. In this course I will present an elegant p...
热度：63
22Introduction to Modal Logic[模态逻辑导论]
Rajeev P. Goré(澳大利亚国立大学) We cover the syntax, Kripke semantics, correspondence theory and tableaux-style proof theory of propositional modal and temporal logics. These logics ...
热度：50
Rajeev P. Goré(澳大利亚国立大学) We cover the syntax, Kripke semantics, correspondence theory and tableaux-style proof theory of propositional modal and temporal logics. These logics ...
热度：50
23Computer vision[计算机视觉]
Richard Hartley(澳大利亚国立大学) A pseudo-boolean function is a function from the space B^n of boolean (0-1) vector to the real numbers. They occur naturally in problems in computer v...
热度：70
Richard Hartley(澳大利亚国立大学) A pseudo-boolean function is a function from the space B^n of boolean (0-1) vector to the real numbers. They occur naturally in problems in computer v...
热度：70
24Overview of Automated Reasoning[自动推理综述]
Peter Baumgartner(澳大利亚国立大学) Course Description:In many applications, we expect computers to reason logically. We might naively expect this to be what computers are good at, but i...
热度：58
Peter Baumgartner(澳大利亚国立大学) Course Description:In many applications, we expect computers to reason logically. We might naively expect this to be what computers are good at, but i...
热度：58
25Anatomy of a Learning Problem[学习问题剖析 ]
Mark Reid(澳大利亚国立大学) In order to relate machine learning problems we argue that we need to be able to articulate what is meant by a single machine learning problem. By att...
热度：40
Mark Reid(澳大利亚国立大学) In order to relate machine learning problems we argue that we need to be able to articulate what is meant by a single machine learning problem. By att...
热度：40
26Degrees of Supervision[监管的程度 ]
Dario Garcia Garcia(澳大利亚国立大学) Many machine learning problems can be interpreted as differing just in the level of supervision provided to the learning process. In this work we prov...
热度：35
Dario Garcia Garcia(澳大利亚国立大学) Many machine learning problems can be interpreted as differing just in the level of supervision provided to the learning process. In this work we prov...
热度：35
27Discriminative and Generative Views of Binary Experiments[二元实验的辨析与生成观]
Robert C. Williamson(澳大利亚国立大学) We consider Binary experiments (supervised learning problems where there are two different labels) and explore formal relationships between two views ...
热度：67
Robert C. Williamson(澳大利亚国立大学) We consider Binary experiments (supervised learning problems where there are two different labels) and explore formal relationships between two views ...
热度：67
28Introduction to kernel methods[内核方法简介]
Alexander J. Smola(澳大利亚国立大学) This lecture given by Mr. Smola is combined with Mr. Bernhard Schoelkopf and will encopass Part 1, Part 5, Part 6 of the complete lecture. \\ Part 2, ...
热度：62
Alexander J. Smola(澳大利亚国立大学) This lecture given by Mr. Smola is combined with Mr. Bernhard Schoelkopf and will encopass Part 1, Part 5, Part 6 of the complete lecture. \\ Part 2, ...
热度：62
29Foundations of Machine Learning[机器学习的基础]
Marcus Hutter(澳大利亚国立大学) Machine learning is usually taught as a bunch of methods that can solve a bunch of problems (see above). The second part of the tutorial takes ...
热度：71
Marcus Hutter(澳大利亚国立大学) Machine learning is usually taught as a bunch of methods that can solve a bunch of problems (see above). The second part of the tutorial takes ...
热度：71
30Mixability is Bayes Risk Curvature Relative to Log Loss[可混合性是相对于对数损失的贝叶斯风险曲率]
Robert C. Williamson(澳大利亚国立大学) Mixability of a loss governs the best possible performance when aggregating expert predictions with respect to that loss. The determination of the mix...
热度：30
Robert C. Williamson(澳大利亚国立大学) Mixability of a loss governs the best possible performance when aggregating expert predictions with respect to that loss. The determination of the mix...
热度：30