The Beginning

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  • Created by: Tenel Ka
  • Created on: 25-06-17 16:16
I W D A T A I H M O R E G E N E R A L R L
X Y I T F I N D S A L G O R I T H M L U X
L F G M Y T U Y D H F I S K W P P T M Y G
N T U C Q G T S A F M K I J V W Y F S N R
A Q W M C Q P F F S F S E Y W B B O W J V
F U F K C D A A L Y E J K W O J D S E M F
Y G L I S T T H E E L I M I N A T E I G L
G Y H D T Y E X N A G T Q X U S Q R G D I
V T U J D E C I S I O N T R E E S D H Y T
P U I W N A J T L P L M O S H D N X T G R
I X Q R K R Q B D N W L I F O B U X U B T
W U R I N D U C T I V E B I A S Q L P U T
F C O N C E P T L E A R N I N G X V D I A
Y J D E S I G N C H O I C E S P H K A I W
U M Q O K C R B W H J E H E L H I A T P H
L Q J L E A R N I N G S Y S T E M L E H D
A T E A B W C A E C T I E M R I E Y R D W
C O M P L A I N T S T O F I N D S G U Y C
T R I V Q A W T Y N F H J V W T J X L X X
U J X O E E G W E M U F P J O R U K E I I
U V J N F U N J R F G J I U F X D D H H V

Clues

  • -> to obtain VS, Start with H, for each x in D and for each h in H: if h doesn't match c(x): Remove. (4, 3, 9)
  • Dc ^xi >> L(xi, Dc) (>> inductive inference) (8, 6, 1)
  • experience type, target function, learning algorithm, representation (6, 7)
  • iff all instances classified positive by h1 are also classifies positive by h2 (4, 7)
  • Initialize to most specific. For each positive training instance: if attribute constraint doesn't satisfy: Generalize it. (4, 1, 9)
  • learn discrete valued target functions, disjunction of conjunction of attribute values, writeble as set of rules (8, 5)
  • minimal set of assertions B such that: for all xi € X: B ^Dc ^xi |= L(xi, Dc) (|= deductive inference) (9, 4)
  • only takes positive examples, might miss the concept, inconsisteny in training data isn't detected, might miss different solutions (10, 2, 4, 1)
  • search in the space of hypotheses H for the ypothesis best fitting the example (7, 8)
  • Select exp. at random. Calculate with learned function on current weights. Calculate error. Update weights w1 + epsilon*feature1*error (3, 6, 6, 4)

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