The Methodology of Applying Machine Learning
Problem Definition, Task Decomposition, and Technique Selection
Papers from the AAAI Workshop
Robert Engles, Chair
This workshop will focus on refining the state-of-the-art in applying machine learning (ML) techniques rather than documenting application experiences. The objective was to analyze existing experience to extract guidelines for developing ML applications. Topics included frameworks for creating ML applications and reusing parts of previously developed applications; methodologies for applying ML techniques' the roles of knowledge necessary for applying ML' matching problem definitions to specific technique configurations; relating and characterizing ML techniques with problem types; embedding the ML application process in knowledge acquisition and system development methodologies; comparing ML applications with applications of related techniques; and approaches that combine human and automated learning agents.