Instances X. Hypotheses H. Specific. h 3. General. = <Sunny, Warm, High, Strong, Cool, Same> x = <Sunny, Warm, High, Light, Warm, Same> 2
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5 ) L " J J A Instances X Hypotheses H Specific x 1 x 2 h 1 h 2 h 3 General x 1 = <Sunny, Warm, High, Strong, Cool, Same> x = <Sunny, Warm, High, Light, Warm, Same> 2 h 1 = <Sunny,?,?, Strong,?,?> h = <Sunny,?,?,?,?,?> 2 h = <Sunny,?,?,?, Cool,?> 3 ^9
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7 D! ( Instances X Hypotheses H - x 3 h 0 h 1 Specific x + 1 x+ 2 h 2,3 x+ 4 h 4 General x = <Sunny Warm Normal Strong Warm Same>, + 1 x 2 = <Sunny Warm High Strong Warm Same>, + x 3 = <Rainy Cold High Strong Warm Change>, - x = <Sunny Warm High Strong Cool Change>, + 4 h = <,,,,, > 0 h 1 = <Sunny Warm Normal Strong Warm Sam h 2 = <Sunny Warm? Strong Warm Same> h = <Sunny Warm? Strong Warm Same> 3 h = <Sunny Warm? Strong?? > 4 ^9
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15 D S 0 : {<Ø, Ø, Ø, Ø, Ø, Ø>} G 0 : {<?,?,?,?,?,?>} _9
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21 Training examples New instance Inductive system Candidate Elimination Algorithm Using Hypothesis Space H Classification of new instance, or "don t know" Training examples New instance Assertion " H contains the target concept" Equivalent deductive system Theorem Prover Classification of new instance, or "don t know" Inductive bias made explicit L OQPSRSTVUXWYP[Z\OQ]Q^XPSZ`_baNW0T\PScNTedXa&aNfhgjikSl&monqpsrtpeiuenvmwnxNyz {X}j]~TR &PSOQO yv}jr ƒ W\ ˆ Š `]QOQOby4 ˆŒŒ
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