000			01028cam a2200193u 4500
999			_c15929 _d15929
001			34033
020			_a0071154671
082			_a006.31 MI MA
100	1		_aMitchell, Tom Michael, _d1951- _939059
245	1	0	_aMachine learning / _cTom M. Mitchell.
260			_aNew York : _bMcGraw-Hill, _c1997.
300			_axviii, 414 p. : _bill ; _c23 cm.
500			_aIncludes bibliographical references and indexes.
505	0		_a1. Introduction -- 2. Concept Learning and the General-to-Specific Ordering -- 3. Decision Tree Learning -- 4. Artificial Neural Networks -- 5. Evaluating Hypotheses -- 6. Bayesian Learning -- 7. Computational Learning Theory -- 8. Instance-Based Learning -- 9. Genetic Algorithms -- 10. Learning Sets of Rules -- 11. Analytical Learning -- 12. Combining Inductive and Analytical Learning -- 13. Reinforcement Learning.
650	1	4	_aMachine learning. _95121
650	1	4	_aComputer algorithms. _9274
856			_uhttps://uowd.box.com/s/5tfcyofz1iagzl63whqgic1sfxmdzuij _zLocation Map
942			_cREGULAR _2ddc