Statistical Machine Learning for Structured and High Dimensional Data

Abstract

Research under this grant was carried out in the general area of nonparametric statistical modeling of high dimensional and structured data. The project made a number of advances in methodology and supporting theory for estimating high dimensional regression functions, classification functions, graphical models, and probability densities. Advances were also made on the new research area of resource-constrained statistical estimation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 17, 2014
Accession Number
ADA610544

Entities

People

  • John D. Lafferty
  • Larry Wasserman

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computations
  • Correlation Analysis
  • Covariance
  • Data Analysis
  • Data Mining
  • Data Science
  • Estimators
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Estimation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Networking

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms