% pooling weights
function v=mweig(pred,m,lambda,F,v0,v)

% updating pooling weights v
lambda=0.5;
for i=1:(m-2)*F
 v(i)=(pred(i)*v(i))^lambda*v0(i)^(1-lambda);
end
v=v/norm(v,1);