• [[Category:problem solving]] A [[CT_Fourier_transform_practice_problems_list|practice problem on CT Fourier transform]]
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  • [[Category:problem solving]] =Some Practice Exam Problems for signals and systems ([[ECE301]])=
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  • but that would have meant students had less practice for passing the budget problem.
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  • Refers to the problem caused by exponential growth of hypervolume as a function of dimensionality == [[Dual Problem_Old Kiwi|Dual Problem]] ==
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  • ...are defined by hypersurfaces. - Consider a Nearest Neighbor classification problem: The classification of any query is decided by the label of its nearest nei ...t d>17-23. There are no clusters or groupings of data points when d>17. In practice each point turns to be a cluster on its own and as a result this explodes i
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  • But, in practice, we do not have linear separable data. So instead, we use the Least Squares ...o solve. Therefore, we need to convert this problem into a linear equality problem.
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  • The MLE does have some disadvantages in practice: ...between these two methods, they are quite similar when they are applied in practice.
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  • practice. More recently, neural network techniques and methods imported from statist general problem of recognizing complex patterns with arbitrary orientation, location, and s
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  • ...ains.) Thus, it is often advantageous to conceive of the anomaly detection problem as the task of developing a strong model of normal behaviors and detecting ..., the anomaly detection problem can be framed as a distribution estimation problem for a single class of data (normal behavior) coupled with a threshold selec
    6 KB (905 words) - 12:18, 28 April 2008
  • But, in practice, we do not have linear separable data. So instead, we use the Least Squares ...o solve. Therefore, we need to convert this problem into a linear equality problem.
    3 KB (528 words) - 13:52, 2 February 2012
  • Refers to the problem caused by exponential growth of hypervolume as a function of dimensionality ...t d>17-23. There are no clusters or groupings of data points when d>17. In practice each point turns to be a cluster on its own and as a result this explodes i
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  • ...true distribution of the data is known. Although it can rarely be used in practice, it represents an ideal classification rate which other algorithms may atte Bayes rule addresses the predefined classes classification problem.
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  • * Problem: All methods presented above encounter a serious problem because of the following reasons: In practice, use 'Gradient descent'
    8 KB (1,337 words) - 08:44, 17 January 2013
  • ==Problem sets for '08== * [[Problem Set 1_Old Kiwi]]
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  • * Individual students can write pages of practice exercises for certain computations/concepts along with their answers. (See * Students can write pages that compare different solutions to a problem.
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  • [[Category:practice problem]]
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  • [[Category:problem solving]] A [[Signals_and_systems_practice_problems_list|practice problem on "Signals and Systems"]]
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  • [[Category:practice problem]] ==Problem==
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  • [[Category:practice problem]] ==Problem==
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  • [[Category:practice problem]] ==Problem==
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Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang