Final Technical Report for Hybrid Algorithms and Oblivious Decision Graphs Using MLC++.

Abstract

MLC++ is a Machine Learning Library of C++ classes. Over 350 different sites have copied the MLC++ kit, and machine learning research in the robotics lab at Stanford is enhanced through the use of the library. The main topics are: (1) Hybrid decision tree and nearest-neighbor, (2) Stacking and Bagging, and (3) Oblivious decision graphs.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 29, 1996
Accession Number
ADA327585

Entities

People

  • Nils J. Nilsson
  • Ronny Kohavi

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programs
  • Computer Science
  • Electronic Mail
  • Hard Copy
  • Machine Learning
  • Military Research
  • Network Science
  • Robotics
  • Technical Information Centers
  • World Wide Web

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Autonomy
  • Autonomy - Autonomous System Control