Learning based programming

Dan Roth

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A significant amount of the software written today, and more so in the future, interacts with naturally occurring data - text, speech, images and video, streams of financial data, biological sequences - and needs to reason with respect to concepts that are complex and often cannot be written explicitly in terms of the raw data observed. Developing these systems requires software that is centered around a semantic level interaction model, made possible via trainable components that support abstractions over real world observations.

Original languageEnglish (US)
Title of host publicationInnovations in Machine Learning
Subtitle of host publicationTheory and Applications
EditorsDawn Holmes, Lakhmi Jain
Pages73-95
Number of pages23
DOIs
StatePublished - Dec 11 2006

Publication series

NameStudies in Fuzziness and Soft Computing
Volume194
ISSN (Print)1434-9922

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

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