A new method has been developed to approximate one Gaussian mixture by another in a process that generalizes the idea of importance re-sampling in a particle filter. This algorithm is being developed as part of an effort to generalize the concept of a particle filter. In a traditional particle filter, the underlying probability density function is described by particles: Dirac delta functions w...

Active learning (AL) aims to sample the most informative data instances for labeling, which makes model fitting efficient while significantly reducing annotation cost. However, existing AL models make a strong assumption that annotated are always assigned correct labels, may not hold true in many practical settings. In this paper, we develop theoretical framework formally analyze impact of nois...

The eff ect of the 1995 fi re on the regeneration, composition and cover of the Bishop Pine (Pinus muricata) forest at Point Reyes National Seashore is examined. The human-caused fi re burned over 12,000 acres in and around the National Seashore engulfi ng most of the bishop pine forest along Inverness Ridge, where fi re intensity was the greatest. Bishop pine is a closed-cone pine that typical...

Computational models to predict the developmental toxicity of compounds are built on imbalanced datasets wherein the toxicants outnumber the non-toxicants. Consequently, the results are biased towards the majority class (toxicants). To overcome this problem and to obtain sensitive but also accurate classifiers, we followed an integrated approach wherein (i) Synthetic Minority Over Sampling (SMO...