Predicting Structured Data

Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning in which the prediction must satisfy the additional constraints found in structured data poses one of machine learning''s greatest challenges: learning functional dependencies between arbitrary input and output domains. This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field. The contributor...See More