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Matt Krause

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Top Questions
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108
Is it inappropriate for a student to attend their mentor's dissertation defense?
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53
What is translation invariance in computer vision and convolutional neural network?
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49
Understanding Naive Bayes
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41
Why on average does each bootstrap sample contain roughly two thirds of observations?
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38
How is finding the centroid different from finding the mean?
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38
How do hiring committees for research positions view getting “scooped”?
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34
What is meant by 'weak learner'?
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33
K-fold vs. Monte Carlo cross-validation
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30
Is there any supervised-learning problem that (deep) neural networks obviously couldn't outperform any other methods?
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24
What makes papers publishable in top-tier journals?
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22
How does ties.method argument of R's rank function work?
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21
Difference between DropOut and DropConnect
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20
Why aren't multiple hypothesis corrections applied to all experiments since the dawn of time?
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20
One-class SVM vs. exemplar SVM
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18
What impact does increasing the training data have on the overall system accuracy?
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17
Intuitive understanding covariance, cross-covariance, auto-/cross-correliation and power spectrum density
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16
What exactly does a non-parametric test accomplish & What do you do with the results?
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16
Selecting best model based on linear, quadratic and cubic fit of data
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16
Is it possible to append training data to existing SVM models?
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15
With k-fold cross-validation, do you average all $k$ models to build the final model?
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15
MCMC methods - burning samples?
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15
How to use Naive Bayes for multi class problems?
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15
Best way to perform multiclass SVM
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15
How do we know that the probability of rolling 1 and 2 is 1/18?
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14
In statistics, should I assume $\log$ to mean $\log_{10}$ or the natural logarithm $\ln$?
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14
Why don't authors include in their publications the duration of the research?
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14
Why do some academic journals requires a separate “summary” paragraph in addition to an abstract?
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14
Can commented-out code be valuable documentation?
softwareengineering.stackexchange.com

14
Textbook on reinforcement learning
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13
“Investigator intention” and thresholds/p-values
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