Brett Squires. Automatic speaker recognition, an application for machine learning. Undergraduate thesis, University of New South Wales, 1994.  Home/Search   Document Not in Database   Summary   Related Articles

.... similarly, classification time for instance based learning techniques can be made logarithmic in the number of training instances, using k d trees ( WK91] Learning times for simple instance based learning techniques is linear, and it has been shown that under certain circumstances, so is C4.5 ([Squ94]) If we have more samples, we can simply add them in, without the major penalty of a quadratic increase in the time cost of learning. Furthermore, both systems can operate incrementally (i.e. more training instances can be added to the learner without significant time penalties) unlike neural ....

.... The use of Symbolic Learning Algorithms and Instance based learning for Gesture Recognition Symbolic learning algorithms, although conceptually simple, have been shown to be effective in some applications that are traditionally dominated by other learning methods, such as speaker recognition ([Squ94]) They have several advantages that would appear to make them a good candidate for applications in gesture recognition such as advantages in speed of evaluation and computing power required, in terms of time and space. Similarly, investigations of the use of instance based learning techniques ....

Brett Squires. Automatic speaker recognition, an application for machine learning. Undergraduate thesis, University of New South Wales, 1994.

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