For many real-life Bayesian networks, common knowledge dictates that the output established for the main variable of interest increases with higher values for the observable varia...
Linda C. van der Gaag, Hans L. Bodlaender, A. J. F...
This paper presents Carnegie Mellon University’s experiments on the mixed named-page and homepage finding task of the TREC 12 Web Track. Our results were strong; we achieved the...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...