Weijun Wang, Heather Brittain, Patricia McDougall, Tracy Vaillancourt
Bullying and school transition: Context or development?
Child abuse & neglect
present new framework learning highdimensional multivariate probability distributions estimated marginals approach motivated compositional models bayesian networks designed adapt small sample sizes start large overlapping set elementary statistical building blocks primitives lowdimensional marginal distributions learned data variable may appear many primitives subsets primitives combined legolike fashion construct probabilistic graphical model small fraction primitives participate valid construction since primitives precomputed parameter estimation structure search separated model complexity controlled strong biases adapt primitives amount training data impose rules restrict merging allowable compositions likelihood data decomposes sum local gains one primitive final structure focus specific subclass networks binary forests structure optimization corresponds integer linear program maximizing composition computed reasonably large numbers variables performance evaluated using synthetic data real datasets natural language processing computational biology