The 27th Surface Science Lecture Course
نویسندگان
چکیده
منابع مشابه
Foreword -- 27th International Symposium on Theoretical Aspects of Computer Science
As the World Wide Web is growing rapidly, it is getting increasingly challenging to gather representative information about it. Instead of crawling the web exhaustively one has to resort to other techniques like sampling to determine the properties of the web. A uniform random sample of the web would be useful to determine the percentage of web pages in a specific language, on a topic or in a t...
متن کاملFoundation lecture. Science and medicine.
4Y thesis is a simple one and it is this: science and medicine are different and are antithetical rather than complementary. This antithesis creates problems which are often ignored, mostly because they are not perceived, problems which are difficult or impossible to solve. I choose to define medicine as that which doctors do, the practice of medicine. Science is more difficult to define and I ...
متن کاملCourse : Model , Learning , and Inference : Lecture 5
Probability distributions on structured representation. Dynamic Programming. Learning with EM. NOTE: NOT FOR DISTRIBUTION!!
متن کاملCourse : Vision as Bayesian Inference . Lecture
Piecewise smooth models. Markov Random Fields. EM. Mean Field Theory. NOTE: NOT FOR DISTRIBUTION!!
متن کاملCourse : Model , Learning , and Inference : Lecture 4
Steepest Descent. Discrete Iterative Optimization. Markov Chain Monte Carlo (MCMC). NOTE: NOT FOR DISTRIBUTION!!
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ژورنال
عنوان ژورنال: Hyomen Kagaku
سال: 2000
ISSN: 0388-5321,1881-4743
DOI: 10.1380/jsssj.21.49