Download Advanced Lectures on Machine Learning: Machine Learning by Shahar Mendelson (auth.), Shahar Mendelson, Alexander J. PDF

By Shahar Mendelson (auth.), Shahar Mendelson, Alexander J. Smola (eds.)

Machine studying has turn into a key allowing expertise for plenty of engineering functions and theoretical difficulties alike. To extra discussions and to dis- minate new effects, a summer season university used to be hung on February 11–22, 2002 on the Australian nationwide collage. the present ebook incorporates a selection of the most talks held in the course of these weeks in February, offered as educational chapters on themes equivalent to Boosting, info Mining, Kernel equipment, good judgment, Reinforcement studying, and Statistical studying idea. The papers supply an in-depth review of those interesting new components, comprise a wide set of references, and thereby give you the reader with additional details to begin or to pursue his personal learn in those instructions. Complementary to the ebook, a recorded video of the shows through the summer season university could be received at http://mlg. anu. edu. au/summer2002 it truly is our wish that graduate scholars, academics, and researchers alike will ?nd this e-book important in studying and educating desktop studying, thereby carrying on with the venture of the summer season college. Canberra, November 2002 Shahar Mendelson Alexander Smola study institution of data Sciences and Engineering, The Australian nationwide collage thank you and Acknowledgments We gratefully thank all of the participants and corporations accountable for the good fortune of the workshop.

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Extra resources for Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002 Revised Lectures

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MATLAB requires you to use a special construct called a function handle to distinguish between the invocation of a function and the abstraction of that function as data. For example, the built-in fzero attempts to find a root of a function supplied as its first input argument, starting from a guess in the second argument. We cannot call it to find a root of sin(x) by typing >> fzero(sin,3) % error! because the MATLAB interpreter would first try to call the built-in sin function with no inputs, which is an error.

In this case, you conceptually want to display a fixed set of points in the plane or space, possibly with additional visual information such as colors or connecting lines. The “traditional” and better-known plotting functions in MATLAB follow this model. Sometimes, though, the source of displayed data is one or more explicitly known mathematical functions. Here one would like to work with the functions themselves and keep the possibility of evaluating them as needed to generate the points that make a nice-looking plot.

The if/elseif construct is preferred when only a small number of alternatives are present. When a large number of options are needed, it’s customary to use instead. For instance: ✐ ✐ ✐ ✐ ✐ ✐ ✐ 32 “matlabbook” 2009/5/27 page 32 ✐ Chapter 3. Scripts and Functions switch units case ’length’ disp(’meters’) case ’volume’ disp(’liters’) case ’time’ disp(’seconds’) otherwise disp(’I give up’) end The switch expression can be a string or a number. 4 Loops: for and while Many algorithms require iteration, the repetitive execution of a block of statements.

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