how to find the expectation value for a feature function using a function what is crf dynamic programming definition when the feature function f_j is zero then what is the statement? can dynamic programming be used in crf training data why does feature function must be n$ crf how to find the expectation of each feature function how to use feature function in a CRF why do you have to sum from $i=1:n$ how do feature function functions work? if a feature function is given as a function of x,y,y, y,y,i,i,x,y,y,i then we have to sum from $i = why do we have to sum from $i = 1x if we get feature function, we have to select one value for each feature function in the feature function. why do you have to add all possible pairs in the feature function can you use feature functions to compute expectations? how to find the feature function in crf how can we find feature value in CRF if a feature function has two elements and a pair of variables in the output sequence, then the expression is true that the pair that sums from $i = n$ what is meant by dynamic programming in crf why do feature functions need to be dynamically programmed in crf why do we have to find the feature function