Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning

Michalski, R. S. (1993). Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning: Developing Foundations for Multistrategy Learning. Machine Learning, 4, 111-151.

Type

Journal article

Intellectual base

Primary research

Year

1993

DOI

10.1023/a:1022653218449

Link

https://doi.org/10.1023/A:1022653218449

Cited by

2 citations across 1 artifact.

Domain-specific

• Inferential Theory of Learning
  • Candidate knowledge states and hypotheses are connected by inference operators—deductive, inductive, abductive, analogical, abstraction, generalization, specialization, constructive, or other transmutations—and learning searches for a result satisfying the goal.
  • A multistrategy task-adaptive learner can choose and interlace operators rather than commit to one universal induction algorithm.

Verification

This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.

Links previously used in the corpus

Before the registry existed this work was also linked 1 other way.

• https://www.mli.gmu.edu/papers/91-95/MSL4-ITL.pdf ×1

Registry ID ref:935fdc7f3a1b · see in the full table