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

Authors: Ronny Kohavi; Nils J. Nilsson; STANFORD UNIV CA DEPT OF COMPUTER SCIENCE
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.

Limitations: APPROVED FOR PUBLIC RELEASE
Description: Final rept.
Pages: 6
Report Date: 29 FEB 96
Contract Number: N00014-95-1-0669
Report Number: A585723
Keywords relating to this report:
*C PROGRAMMING LANGUAGE
*LEARNING MACHINES
ALGORITHMS
DATA BASES
HYBRID SYSTEMS
LIBRARIES
ROBOTICS
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