Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications
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For graduate-/research-level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully. It also reports on BLIP and MOBAL systems developed over the last decade.
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