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new kinds of similarity measures based on dot products Use of quadratic optimization problem to avoid local minimum issues with neural nets The resulting learning algorithm is an optimization algorithm rather than a greedy search Organization Basic idea of support vector machines just like 1-layer or multi-layer neural nets
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Bayes theorem describes the probability of occurrence of an event related to any condition. It is also considered for the case of conditional probability. Bayes theorem is also known as the formula for the probability of causes. For example if we have to calculate the probability of taking a blue ball from the second bag out of three different bags of balls, where each bag contains ...
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Mar 06, 2017 The final point was to build a classifier and see how well that does. A classifier needs a classification target. I went with the assigned component. So, my classifier tries to predict the component to assign bug report to, using only the bug reports natural language description. To start with, a look at the components.
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Sep 13, 2018 Wow Basic NB classifier based Sentiment Analyzer does well to give around 79 accuracy. You can try changing features vector length and varying parameters ofTfidTransformerto see the impact on the accuracy of the model. Conclusion We have discussed the text processing techniques used in NLP in detail. We also demonstrated the use of text ...
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