Search NASA⌕ Search
Home/Archive/NASA NTRS

NASA NTRS · 20210003548

Efficient Heuristic Hypothesis Ranking

Mutz, D.·Stechert, A.·Chien, S.
View original source ↗Export metadata ↓

Abstract

This paper considers the problem of learning the ranking of a set of stochastic alternatives based upon incomplete information (i.e., a limited number of samples).

Explore related subjects

machinelearninghypothesisrankingselectionincompleteinformationstochasticalternatives

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Mutz, D., Stechert, A., Chien, S.. 1999-06-01. Efficient Heuristic Hypothesis Ranking. https://ntrs.nasa.gov/citations/20210003548

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

NASA NTRS1994

A New Generation of Intelligent Trainable Tools for Analyzing Large Scientific Image Databases

In a variety of scientific disciplines two-dimensional digital image data is now relied on as a basic component of routine scientific investigation. The proliferation of image acquisition hardware such as multi-spectral remote-sensing platforms, medical imaging sensors, and high-resolution cameras have led to the widespread use of image data in fields such as atmospheric studies, planetary geology, ecology, agriculture, glacielogy, forestry, astronomy, diagnostic medicine, to name but a few.

machine↗