Simple example of Parzen window2019 Community Moderator ElectionChoosing a window size for DTWGradient boosting algorithm exampleExample of binary classifier with numerical features using deep learningAdding multilabel classifier to TensorFlow exampleinformation leakage when using empirical Bayesian to generate a predictorSimple neural network implementation in kerasAdd noise to an example setCandidate Elimination Algorithm - Simple ProblemWhy doesn't neural networks use the concept of degree of freedom?Example of sharing of parameters among features and classes
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Simple example of Parzen window
2019 Community Moderator ElectionChoosing a window size for DTWGradient boosting algorithm exampleExample of binary classifier with numerical features using deep learningAdding multilabel classifier to TensorFlow exampleinformation leakage when using empirical Bayesian to generate a predictorSimple neural network implementation in kerasAdd noise to an example setCandidate Elimination Algorithm - Simple ProblemWhy doesn't neural networks use the concept of degree of freedom?Example of sharing of parameters among features and classes
$begingroup$
I am confused about the Parzen Window question.
Suppose We have two training data point located at 0.5 and 0.7, and we use 0.3 as its rectangle window width. How do we estimate its probability density?
According to the definition, the probability density is
, where k is the pattern number, n is total point number, and V is the window region.
Therefore, the density for this question is (1/2)/1?
Then what if we use a triangle instead of a rectangle?
classification
asked 11 mins ago
Coda ChangCoda Chang
1183
$endgroup$
add a comment |
$begingroup$
I am confused about the Parzen Window question.
Suppose We have two training data point located at 0.5 and 0.7, and we use 0.3 as its rectangle window width. How do we estimate its probability density?
According to the definition, the probability density is, where k is the pattern number, n is total point number, and V is the window region.
Therefore, the density for this question is (1/2)/1?
Then what if we use a triangle instead of a rectangle?
classification
asked 11 mins ago
Coda ChangCoda Chang
1183
$endgroup$
add a comment |
$begingroup$
I am confused about the Parzen Window question.
Suppose We have two training data point located at 0.5 and 0.7, and we use 0.3 as its rectangle window width. How do we estimate its probability density?
According to the definition, the probability density is, where k is the pattern number, n is total point number, and V is the window region.
Therefore, the density for this question is (1/2)/1?
Then what if we use a triangle instead of a rectangle?
classification
asked 11 mins ago
Coda ChangCoda Chang
1183
$endgroup$
I am confused about the Parzen Window question.
Suppose We have two training data point located at 0.5 and 0.7, and we use 0.3 as its rectangle window width. How do we estimate its probability density?
According to the definition, the probability density is, where k is the pattern number, n is total point number, and V is the window region.
Therefore, the density for this question is (1/2)/1?
Then what if we use a triangle instead of a rectangle?
classification
classification
asked 11 mins ago
Coda ChangCoda Chang
1183
asked 11 mins ago
Coda ChangCoda Chang
1183
asked 11 mins ago
Coda ChangCoda Chang
1183
asked 11 mins ago
Coda ChangCoda Chang
1183
asked 11 mins ago
Coda ChangCoda Chang
1183
1183
add a comment |
add a comment |
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