0 45 6 1 4 0 6 8 0 0 CE C D 0 0 4 FD2 4 4 4 4 2 Programming Planning HCI Semantics Garb Coll Multimedia GUI programming garbage collection semantics memory language optimization proof region learning planning intelligence temporal algorithm reasoning reinforcement plan network language C 4 planning language proof intelligence 4 8 2 0 4 ML 0 0 4 7 AI Training Data C D Classes B 4 A 0 Testing Data 2 6 2 8 0 0 00020 2 2 6 2 3 0 222 7869 0 4H 9 H 0 5 4 0 4 H H4 I 4 2 2 4 2D 4 2 78J 4 K G 42 4 9 6 4 C D I H 4 4 C L 4 0 N 6 M A N O D C D 6 N 4 4 45 N 0 P H A M 7 AD 4 C 0 C H C 0 N H 4 4 C D 4 D D 0 D Q6 2 2 4 4 K P C X 4 4 4 4 P C X P C X P X P X C P C 4 0 I L 4 4 4 4 4 C 0 D2 K H4 H 4 2 2 4 C 2 2 H D 0 4 5 0 C H DQ H 4 C6 2 P X C P C P X 4 4 2 hMAP argmax P h D h H hMAP argmax h H P D h P h P D hMAP argmax P D h P h h H P D h K N 0 hML argmax P D h h H 0 4 R 6 4 4 xn cMAP argmax P c j x1 x2 N 2 O X n C cMAP argmax P x1 x2 cMAP argmax P x1 x2 c j C 4 xn c j P c j P c1 c2 c j C 0 4 cn 6 xn c j P c j 6 4 4 4 N 4 4 2 5 J X 5 C P X 1 C P X 2 C 4 0 4 2 4 P X 1 P x1 x2 xn cj xn c j C R P cj x1 x2 P X 5 C N N C c j P c j N N X i xi C c j P xi c j N C c j 6 7 N X i xi C c j 1 P xi c j N C c j k of values of P X 1 X 5 C P X 1 C P X 2 C 0 0 S P X 5 C N X 5 t C nf P X 5 t C nf 0 N C nf 4 4 4 0 arg max c P c i P xi c 0 4 overall fraction in data where N X i xi k C c j mpi k P xi k c j N C c j m extent of smoothing I 6 4 0 2 P xn text c j c j C P c j 6 4 0 Textj 0 nk I 6 c j C 4 C D Textj Vocabulary i j H 5 7CT T D 7CT T D M P x c i positions 0 2 T TT T T T 0 2 5 2 R J J 4 4 4 H xk 7CT T O T TT TDD 0J Vocabulary 6 7CT T D c NB argmax P c j 4 0 docsj xk cNB 0 I docs j total documents 0 0 0 nk 1 P xk c j n Vocabulary positions 2 Vocabulary P xk cj cj C docsj 4 cj i argmax P c j P x1 our c j P cj N c NB argmax P c j P xi c j c j C 6 4 4 0 02 C DO C D 4 4 4 4 4 2 0 4 4 0 K 0 4 R 2 N 7 4 4 2 C 4 4 D H H 2 2 4 4 4 4 0 0 4 7 0 L 0 M R L 0 4 0 7 0 0 L 0 4 0 0 P X i w c P X j w c for all positions i j word w and class c J P X w t c j 0 4 fraction of documents of topic cj in which word w appears 7 P X i w c j H N fraction of times in which word w appears across all documents of topic cj C 0 4 2 0 C 4 0 0 4 2 p ew ec log 0 p ew ec p ew p ec 4 5 D A A 4 C 5 ew 0 1 ec 0 1 4 2D 4 0 I w c 4 H 0 0 4 4 4 4 2 D2 4 0 2 6 C 4 2 D 6 WU 9 UVW 9 0 4 C 4P C E D 0 4 F 4 4P 0 Extracted Correct Accuracy 5 XU Student 180 130 72 Faculty 66 28 42 H 4 0 4 I2 0 C Person 246 194 79 Project 99 72 73 ID ID Course 28 25 89 Departmt 1 1 100 C9 8 D 6 0 4 0 2 C C K 4 0 N J 4 4 D D 201 2 01 2 4 5 C 4 Y 8 M 8 8 6 7 0 4 N 4 4 0 7 Z c1 2 2 7 C4 4 D 4 G From R Kohavi Silicon Graphics MineSet Evidence Visualizer 7 9 0 8 L 2U WW2U V 2 7 K 6 8 0 8 L N 4 2 0 07 2 8 04 0 0 08 7 2 P A c2 Class of A 0 01 c1 2 M 4 4 4 0 N 6 0 J Z U 4 4 4 M H K 0 4 6 P A c1 0 1 4 Estimated Probability by NB 2 P88H IJ W 0 4 2 01 2 01 Actual Probability 4 4 4 4 D C D R K 2 6D 4 K 2 K9 6 2 4 0 0 2 2 2 4 6 0 6 0 0 01 2 01 01 2 4 J D2 C 32 D 7 2 2 I 4 4 2 P E L 2 F 0 6 N 4 4 6 2 4 36 CoA messages 86 addresses 55 old 31 new 5720 non Coa 4 2 2 C D H 2 6 0 P 787 95 2 H V2 2 9 9 6 H 2 0 6 6 26 2 0HK WW 2 67 7 WWW2
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