Mauch MIREX 2010

function CPT = CPD_to_CPT(CPD)

% CPD_TO_CPT Convert the discrete CPD to tabular form (noisyor)

% CPT = CPD_to_CPT(CPD)

%

% CPT(U1,...,Un, X) = Pr(X|U1,...,Un) where the Us are the parents (excluding leak).

if ~isempty(CPD.CPT)

  CPT = CPD.CPT; % remember to flush cache if params change (e.g., during learning)

  return;

end

q = [CPD.leak_inhibit CPD.inhibit(:)'];

% q(i) is the prob. that the i'th parent will be inhibited (flipped from 1 to 0).

% q(1) is the leak inhibition probability, and length(q) = n + 1.

if length(q)==1

  CPT = [q  1-q];

  return;

end

n = length(q);

Bn = ind2subv(2*ones(1,n), 1:(2^n))-1;  % all n bit vectors, with the left most column toggling fastest (LSB)

CPT = zeros(2^n, 2);

% Pr(X=0 | U_1 .. U_n) = prod_{i: U_i = on} q_i =  prod_i q_i ^ U_i = exp(u' * log(q_i))

% This method is problematic when q contains zeros

Q = repmat(q(:)', 2^n, 1);

Q(logical(~Bn)) = 1;

CPT(:,1) = prod(Q,2);

CPT(:,2) = 1-CPT(:,1);

CPT = reshape(CPT(2:2:end), 2*ones(1,n)); % skip cases in which the leak is off       

CPD.CPT = CPT;