A framework for learning constraints : Extended

@inproceedings{Padmanabhuni1996AFF,
  title={A framework for learning constraints : Extended},
  author={AbstractSrinivas Padmanabhuni and Jia-Huai YouDepartment},
  year={1996}
}
  • AbstractSrinivas Padmanabhuni, Jia-Huai YouDepartment
  • Published 1996
1 Motivation and Introduction Machine Learning Shavlik and Dietterich 90] is the subbeld of artiicial intelligence that studies the automated acquisition of knowledge as a result of experience. Learning is studied for a wide variety of reasons: to discover general principles of intelligence , to get a better understanding of human learning and to acquire… CONTINUE READING