| Belnap, N. D. 1963. An analysis of questions: Preliminary report. Scientific Report TM-1287. Santa Monica, CA. |
....the non linear case, obviously the linear case will follow by analogy. To show what is involved let me given an example of the estimation process using simple maximum likelihood estimates. The basis for our estimates is the following 2 by 2 table. j(i) i i j(i) x = 1 x = 0 [1] 2] 3] 4] [5] [6] x = 1 x = 0 [7] 8] 9] 98 Information retrieval Here I have adopted a labelling scheme for the cells in which [x] means the number of occurrences in the cell labelled x. Ignoring for the moment the nature of the set on which this table is based; our estimates might be as follows: i P ....
....to know the rank ordering of the I(x i ,x j ) s. The absolute values do not matter. Therefore if we use simple maximum likelihood estimates for the probabilities based on the data contained in the following table (using the same notation as on p. 125) j i i j x = 1 x = 0 [1] 2] 3] 4] [5] [6] x = 1 x = 0 [7] 8] 9] then I(x i ,x j ) will be strictly monotone with [1] log [1] 5] 7] 2] log [2] 6] 7] 3] log [3] 5] 8] 4] log [4] 6] 8] This is an extremely simple formulation of EMIM and easy to compute. Consider the case when it is P(x) we are trying ....
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BELNAP, N.D., An analysis of questions: Preliminary report, Scientific Report TM-1287, SDC, Santa Monica, California (1963).
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Belnap, N. D. 1963. An analysis of questions: Preliminary report. Scientific Report TM-1287. Santa Monica, CA.
No context found.
Belnap, N. D. 1963. An analysis of questions: Preliminary report. Scientific Report TM-1287. Santa Monica, CA.
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