@article {14436,
	title = {Learning through failure},
	journal = {Probabilistic, Logical and Relational Learning-Towards a Synthesis},
	year = {2006},
	month = {2006///},
	abstract = {PRISM, a symbolic-statistical modeling language we have been developing since {\textquoteright}97, recently incorporated a program transformation technique to handle failure in generative modeling. I{\textquoteright}ll show this feature opens a way to new breeds of symbolic models, including EM learning from negative observations, constrained HMMs and finite PCFGs.},
	author = {Sato,T. and Kameya,Y. and De Raedt,L. and Dietterich,T. and Getoor, Lise and Muggleton,S. H}
}
