Rework the learning examples
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@ -10,9 +10,13 @@ bayes diff(C) :: [h,m,l] ; diff_table ; [course(C,_)].
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bayes int(S)::[h,m,l] ; int_table ; [student(S)].
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bayes int(S)::[h,m,l] ; int_table ; [student(S)].
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bayes grade(C,S)::[a,b,c,d], int(S), diff(C) ; grade_table ; [registration(_,C,S)].
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bayes grade(C,S)::[a,b,c,d], int(S), diff(C) ;
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grade_table ;
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[registration(_,C,S)].
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bayes satisfaction(C,S)::[h,m,l], abi(P), grade(C,S) ; sat_table ; [reg_satisfaction(C,S,P)].
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bayes satisfaction(C,S)::[h,m,l], abi(P), grade(C,S) ;
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sat_table ;
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[reg_satisfaction(C,S,P)].
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bayes rat(C)::[h,m,l], Sats ; avg ; [course_rat(C, Sats)].
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bayes rat(C)::[h,m,l], Sats ; avg ; [course_rat(C, Sats)].
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@ -35,7 +39,9 @@ course_rat(CKey, Sats) :-
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student_ranking(SKey, Grades) :-
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student_ranking(SKey, Grades) :-
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student(SKey),
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student(SKey),
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setof(grade(CKey,SKey), RKey^registration(RKey,CKey,SKey), Grades).
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setof(grade(CKey,SKey),
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RKey^registration(RKey,CKey,SKey),
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Grades).
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:- ensure_loaded(tables).
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:- ensure_loaded(tables).
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@ -44,6 +50,12 @@ professor_ability(P,A) :- abi(P, A).
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professor_popularity(P,A) :- pop(P,A).
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professor_popularity(P,A) :- pop(P,A).
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course_difficulty(P,A) :- diff(P,A).
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student_intelligence(P,A) :- int(P,A).
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course_rating(C,X) :- rat(C,X).
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registration_grade(R,A) :-
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registration_grade(R,A) :-
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registration(R,C,S),
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registration(R,C,S),
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grade(C,S,A).
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grade(C,S,A).
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@ -52,24 +64,14 @@ registration_satisfaction(R,A) :-
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registration(R,C,S),
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registration(R,C,S),
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satisfaction(C,S,A).
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satisfaction(C,S,A).
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student_intelligence(P,A) :- int(P, A).
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registration_course(R,C) :- registration(R,C,_).
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course_difficulty(P,A) :- diff(P, A).
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registration_student(R,S) :- registration(R,_,S).
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registration_course(R,C) :-
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registration(R, C, _).
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registration_student(R,S) :-
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registration(R, _, S).
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course_rating(C,X) :- rat(C,X).
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%
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%
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% evidence
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% Evidence
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%
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%
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%abi(p0, h).
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%abi(p0, h).
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%pop(p1, m).
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%pop(p1, m).
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%pop(p2, h).
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%pop(p2, h).
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@ -1,5 +1,4 @@
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/* Base file for school database. Supposed to be called from school_*.yap */
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/* base file for school database. Supposed to be called from school_*.yap */
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professor_key(Key) :-
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professor_key(Key) :-
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professor(Key).
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professor(Key).
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@ -67,5 +66,3 @@ student_ranking(Key, Rank) :-
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:- ensure_loaded(tables).
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:- ensure_loaded(tables).
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@ -4702,5 +4702,3 @@ registration(r3457,c5,s1023).
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registration(r3458,c37,s1023).
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registration(r3458,c37,s1023).
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registration(r3459,c57,s1023).
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registration(r3459,c57,s1023).
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@ -1,19 +1,41 @@
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abi_table(
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/* h */ [ 0.50,
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/* m */ 0.40,
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/* l */ 0.10 ]).
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abi_table(_, T) :- abi_table(T).
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pop_table(
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/* h m l */
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/* h */ [ 0.9, 0.2, 0.01,
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/* m */ 0.09, 0.6, 0.09,
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/* l */ 0.01, 0.2, 0.9 ]).
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pop_table(_, T) :- pop_table(T).
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diff_table(
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/* h */ [ 0.25,
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/* m */ 0.50,
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/* l */ 0.25 ]).
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dif_table(_, T) :- diff_table(T).
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int_table(
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/* h */ [ 0.5,
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/* m */ 0.4,
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/* l */ 0.1 ]).
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int_table(_,T ,[h,m,l]) :- int_table(T).
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int_table(_,T ,[h,m,l]) :- int_table(T).
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int_table([0.5,
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grade_table(
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0.4,
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0.1]).
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/* h h h m h l m h m m m l l h l m l l */
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/* h h h m h l m h m m m l l h l m l l */
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grade_table([
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/* a */ [ 0.2, 0.7, 0.85, 0.1, 0.2, 0.5, 0.01, 0.05, 0.1,
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0.2, 0.7, 0.85, 0.1, 0.2, 0.5, 0.01, 0.05,0.1 ,
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/* b */ 0.6, 0.25, 0.12, 0.3, 0.6, 0.35, 0.04, 0.15, 0.4,
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0.6, 0.25, 0.12, 0.3, 0.6,0.35,0.04, 0.15, 0.4 ,
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/* c */ 0.15, 0.04, 0.02, 0.4, 0.15, 0.12, 0.5, 0.6, 0.4,
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0.15,0.04, 0.02, 0.4,0.15,0.12, 0.5, 0.6, 0.4,
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/* d */ 0.05, 0.01, 0.01, 0.2, 0.05, 0.03, 0.45, 0.2, 0.1 ]).
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0.05,0.01, 0.01, 0.2,0.05,0.03, 0.45, 0.2, 0.1 ]).
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grade_table(I, D,
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grade_table(I, D,
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/* h h h m h l m h m m m l l h l m l l */
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p([a,b,c,d], T, [I,D])) :- grade_table(T).
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p([a,b,c,d], T, [I,D])) :- grade_table(T).
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sat_table(
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sat_table(
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@ -21,10 +43,7 @@ sat_table(
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/* h */ [ 0.98, 0.9, 0.8 , 0.6, 0.9, 0.4, 0.2, 0.01, 0.5, 0.2, 0.01, 0.01,
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/* h */ [ 0.98, 0.9, 0.8 , 0.6, 0.9, 0.4, 0.2, 0.01, 0.5, 0.2, 0.01, 0.01,
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/* m */ 0.01, 0.09, 0.15, 0.3, 0.05, 0.4, 0.3, 0.04, 0.35, 0.3, 0.09, 0.01,
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/* m */ 0.01, 0.09, 0.15, 0.3, 0.05, 0.4, 0.3, 0.04, 0.35, 0.3, 0.09, 0.01,
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/* l */ 0.01, 0.01, 0.05, 0.1, 0.05, 0.2, 0.5, 0.95, 0.15, 0.5, 0.9, 0.98 ]).
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/* l */ 0.01, 0.01, 0.05, 0.1, 0.05, 0.2, 0.5, 0.95, 0.15, 0.5, 0.9, 0.98 ]).
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/*
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A: professor's ability;
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B: student's grade (for course registration).
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*/
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satisfaction_table(A, G, p([h,m,l], T, [A,G])) :- sat_table(T).
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satisfaction_table(A, G, p([h,m,l], T, [A,G])) :- sat_table(T).
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@ -35,22 +54,8 @@ satisfaction_table(A, G, p([h,m,l], T, [A,G])) :- sat_table(T).
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%
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%
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% add all and divide on the number of elements on the table!
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% add all and divide on the number of elements on the table!
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%
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%
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rating_prob_table([0.9,0.05,0.01,
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rating_prob_table(
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[ 0.9, 0.05, 0.01,
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0.09, 0.9, 0.09,
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0.09, 0.9, 0.09,
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0.01, 0.05, 0.9 ]).
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0.01, 0.05, 0.9 ]).
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abi_table( [0.50, 0.40, 0.10]).
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abi_table( _, T) :- abi_table(T).
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pop_table( [0.9, 0.2, 0.01,
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0.09, 0.6, 0.09,
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0.01, 0.2, 0.9]).
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pop_table(_, T) :- pop_table(T).
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diff_table([0.25, 0.50, 0.25]).
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dif_table(_, T) :- diff_table(T).
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@ -1,9 +1,16 @@
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% learn distribution for school database.
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/* Learn distribution for professor database. */
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:- use_module(library(pfl)).
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:- use_module(library(pfl)).
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:- use_module(library(clpbn/learning/em)).
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:- use_module(library(clpbn/learning/em)).
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%:- clpbn:set_clpbn_flag(em_solver,gibbs).
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%:- clpbn:set_clpbn_flag(em_solver,jt).
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%:- clpbn:set_clpbn_flag(em_solver,hve).
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:- clpbn:set_clpbn_flag(em_solver,ve).
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%:- clpbn:set_clpbn_flag(em_solver,bp).
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%:- clpbn:set_clpbn_flag(em_solver,bdd).
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bayes abi(K)::[h,m,l] ; abi_table ; [professor(K)].
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bayes abi(K)::[h,m,l] ; abi_table ; [professor(K)].
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bayes pop(K)::[h,m,l], abi(K) ; pop_table ; [professor(K)].
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bayes pop(K)::[h,m,l], abi(K) ; pop_table ; [professor(K)].
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@ -12,10 +19,13 @@ abi_table([0.3,0.3,0.4]).
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pop_table([0.3, 0.3, 0.4, 0.3, 0.3, 0.4, 0.3, 0.3, 0.4]).
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pop_table([0.3, 0.3, 0.4, 0.3, 0.3, 0.4, 0.3, 0.3, 0.4]).
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goal_list([/*abi(p0,h),
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goal_list([
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/*
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abi(p0,h),
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abi(p1,m),
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abi(p1,m),
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abi(p2,m),
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abi(p2,m),
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abi(p3,m),*/
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abi(p3,m),
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*/
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abi(p4,l),
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abi(p4,l),
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pop(p5,h),
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pop(p5,h),
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abi(p5,_),
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abi(p5,_),
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@ -32,13 +42,6 @@ professor(p6).
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professor(p7).
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professor(p7).
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professor(p8).
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professor(p8).
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%:- clpbn:set_clpbn_flag(em_solver,gibbs).
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%:- clpbn:set_clpbn_flag(em_solver,jt).
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:- clpbn:set_clpbn_flag(em_solver,hve).
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:- clpbn:set_clpbn_flag(em_solver,ve).
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%:- clpbn:set_clpbn_flag(em_solver,bp).
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%:- clpbn:set_clpbn_flag(em_solver,bdd).
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timed_main :-
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timed_main :-
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statistics(runtime, _),
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statistics(runtime, _),
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main(Lik),
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main(Lik),
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@ -47,13 +50,5 @@ timed_main :-
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main(Lik) :-
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main(Lik) :-
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goal_list(L),
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goal_list(L),
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% run_queries(L),
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em(L,0.01,10,_,Lik).
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em(L,0.01,10,_,Lik).
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run_queries([]).
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run_queries(Q.L) :-
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call(Q),
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run_queries(L).
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File diff suppressed because one or more lines are too long
@ -1,9 +1,16 @@
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% learn distribution for school database.
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/* Learn distribution for a sprinkler database. */
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:- ['../sprinkler.pfl'].
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:- ['../sprinkler.pfl'].
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:- use_module(library(clpbn/learning/em)).
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:- use_module(library(clpbn/learning/em)).
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%:- clpbn:set_clpbn_flag(em_solver,gibbs).
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%:- clpbn:set_clpbn_flag(em_solver,jt).
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%:- clpbn:set_clpbn_flag(em_solver,hve).
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:- clpbn:set_clpbn_flag(em_solver,bdd).
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%:- clpbn:set_clpbn_flag(em_solver,bp).
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%:- clpbn:set_clpbn_flag(em_solver,ve).
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data(t,t,t,t).
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data(t,t,t,t).
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data(_,t,_,t).
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data(_,t,_,t).
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data(t,t,f,f).
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data(t,t,f,f).
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@ -18,12 +25,7 @@ data(t,t,_,f).
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data(t,f,f,t).
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data(t,f,f,t).
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data(t,f,t,t).
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data(t,f,t,t).
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%:- clpbn:set_clpbn_flag(em_solver,gibbs).
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:- dynamic id/1.
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%:- clpbn:set_clpbn_flag(em_solver,jt).
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:- clpbn:set_clpbn_flag(em_solver,hve).
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:- clpbn:set_clpbn_flag(em_solver,bdd).
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%:- clpbn:set_clpbn_flag(em_solver,bp).
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%:- clpbn:set_clpbn_flag(em_solver,ve).
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timed_main :-
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timed_main :-
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statistics(runtime, _),
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statistics(runtime, _),
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data(W, S, R, C),
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data(W, S, R, C),
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new_id(I).
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new_id(I).
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:- dynamic id/1.
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new_id(I) :-
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new_id(I) :-
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retract(id(I)),
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retract(id(I)),
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I1 is I+1,
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I1 is I+1,
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id(0).
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id(0).
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