Gradient-Based Learning Applied to Document Recognition
V-SVM Virtual support vector method. I. INTRODUCTION Over the last several years, machine learning techniques, particularly when applied to NN’s, have played an increas-ingly important role in the design of pattern recognition systems. In fact, it could be argued that the availability of learning techniques has been a crucial factor in the
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SVM Example - Brigham Young University
axon.cs.byu.eduNow, computing the dot products results in 3 1 + 5 2 = 1 5 1 + 9 2 = +1 And the solution to this system of equations is 1 = 7 and 2 = 4. Finally, we can again look at the discriminating hyperplane in input space that corresponds to these . w~ = X i is~ i 7. Figure 8: The discriminating hyperplane corresponding to the values 1 = 7 and
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