master: Cleaned up .gitignore
trunk: Removing master tags files from git repo
MinEnt: Cleaned up a little of get_egs_semi_supervised.sh
LatEnt: Minor cleanup in get_egs_semi_supervised.sh. Removing TODOs
Added UncertainLabels versions of DoBackprop, CompObjAndDeriv etc.
src: Fixed bug in the kernel ANSI wrapper that was missing a const
src/nnet2: Fixed bug in class constructor that did not resize Vector before using
src:Modified prior vector to be a pointer instead of a reference
src: Added a FixedBiasComponent that can be used to add a fixed bias (interpolation of priors) to the output layer of the neural network
egs/babel/s5b/local/nnet2: Training and decoding of neural networks with label confidences implemented through FixedBiasComponent
egs/babel/s5b/local/nnet2: Make some scripts executable
src/nnet2bin: Fixed bug in nnet-am-get-priors.cc
src: Modified vector-scale to work on single vectors and just archives
Fixed bug in FixedBiasComponent Read() function
Fixed bug in FixedBiasComponent Backprop
Fixed egs/babel/s5b/local/nnet2/train_pnorm_uncertain_labels.sh
Fixed bug (no finding the correct num-components) in train_pnorm_uncertain_labels.sh
nnet2: Fixed bug in Forward propagation in FixedBiasComponent
Moving the removal of the smoothing components before the prior vector computation. This does not affect the results. But the KL divergence between the older and newer prior is now larger because there is no smoothing.
egs/babel/s5b/local: Fixed bug in decode with uncertainty script