Preface

Chris Drummond, William Elazmeh, Nathalie Japkowicz

The goal of this workshop is to encourage debate within the machine learning community into how we experimentally evaluate new algorithms. The workshop aims to discuss what properties of an algorithm need to be measured (e.g., accuracy, comprehensibility, conciseness); to discuss the need for more elaborate approaches than those currently used; to discuss the kind of alternate methods that could be useful; and ultimately to propose specific techniques that would be appropriate to particular problem categories.

Submitted: May 11, 2006


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