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KB:
SUMO
Language:
ChineseLanguage
ChinesePinyinWriting
ChineseSimplifiedWriting
ChineseTraditionalLanguage
EnglishLanguage
FrenchLanguage
GermanLanguage
HerbaceousPlant
Hindi
ItalianLanguage
JapaneseLanguage
PortugueseLanguage
SpanishLanguage
SwedishLanguage
WoodyPlant
cb
cz
de
hi
ro
sv
tg
Formal Language:
OWL
SUO-KIF
TPTP
traditionalLogic
KB Term:
Term intersection
English Word:
Any
Noun
Verb
Adjective
Adverb
independentProbability
Sigma KEE - independentProbability
independentProbability
appearance as argument number 1
(
documentation
independentProbability
ChineseLanguage
"这是其中一个基本的
ProbabilityRelation
,(
independentProbability
?FORMULA1 ?FORMULA2) 的意思是 ?FORMULA1 和 ?FORMULA2 属真机率是独立的。")
chinese_format.kif 1913-1915
(
documentation
independentProbability
EnglishLanguage
"One of the basic
ProbabilityRelation
s. (
independentProbability
?FORMULA1 ?FORMULA2) means that the probabilities of ?FORMULA1 and ?FORMULA2 being true are independent.")
Merge.kif 2636-2638
(
documentation
independentProbability
JapaneseLanguage
"基本的な
ProbabilityRelation
。 (
independentProbability
?FORMULA1 ?FORMULA2)とは、?FORMULA1 と ?FORMULA2 正しくないという 確率が独立していることを意味する。")
japanese_format.kif 540-542
(
domain
independentProbability
1
Formula
)
Merge.kif 2633-2633
independentProbability
の数値 1 引数は
公式
の
instance
では %n
(
domain
independentProbability
2
Formula
)
Merge.kif 2634-2634
independentProbability
の数値 2 引数は
公式
の
instance
では %n
(
instance
independentProbability
BinaryPredicate
)
Merge.kif 2631-2631
independentProbability
は
2進述語
の
instance
では %n
(
instance
independentProbability
ProbabilityRelation
)
Merge.kif 2630-2630
independentProbability
は
確率関係
の
instance
では %n
(
instance
independentProbability
SymmetricRelation
)
Merge.kif 2632-2632
independentProbability
は
対称関係
の
instance
では %n
appearance as argument number 2
(
disjointRelation
decreasesLikelihood
independentProbability
)
Merge.kif 2600-2600
decreasesLikelihood
と
independentProbability
は
disjoint
では %n
(
disjointRelation
increasesLikelihood
independentProbability
)
Merge.kif 2599-2599
increasesLikelihood
と
independentProbability
は
disjoint
では %n
(
format
ChineseLanguage
independentProbability
"%1 和 %2 各自独立发生的机率是 %n")
chinese_format.kif 127-127
(
format
EnglishLanguage
independentProbability
"probability of %1 and %2 is %n independent")
english_format.kif 128-128
(
format
FrenchLanguage
independentProbability
"probabilit� de %1 et %2 est %n ind�pendente")
french_format.kif 85-85
(
format
ItalianLanguage
independentProbability
"probabilità di %1 e %2 è %n indipendente")
relations-it.txt 142-142
(
format
JapaneseLanguage
independentProbability
"%1 と %2 の 確率 は independent では %n")
japanese_format.kif 1912-1912
(
format
PortugueseLanguage
independentProbability
"as probabilidades de %1 e %2 sao %n independentes")
portuguese_format.kif 37-37
(
format
cz
independentProbability
"probability of %1 and %2 %p{je} %n{nen�} independent")
relations-cz.txt 92-92
(
format
de
independentProbability
"Die wahrscheinlichkeit von %1 und %2 ist unabhaenig %n{nicht}")
relations-de.txt 151-151
(
format
hi
independentProbability
"%1 aura %2 kii sambhaavyataa
sv
atantra %n hai")
relations-hindi.txt 181-181
(
format
ro
independentProbability
"evenimentele %1 ºi %2 %n{nu} sunt independent%t{independente}")
relations-ro.kif 104-104
(
format
sv
independentProbability
"sannolikheten för %1 och %2 är %n{inte} oberoende")
relations-sv.txt 84-84
(
format
tg
independentProbability
"ang kalamangang mangyari ng %1 at %2 %n ay malaya")
relations-tg.txt 288-288
(
termFormat
ChineseLanguage
independentProbability
"独立发生机率")
chinese_format.kif 128-128
(
termFormat
ChineseLanguage
independentProbability
"独立概率")
domainEnglishFormat.kif 29575-29575
(
termFormat
ChineseTraditionalLanguage
independentProbability
"獨立概率")
domainEnglishFormat.kif 29574-29574
(
termFormat
EnglishLanguage
independentProbability
"independent probability")
domainEnglishFormat.kif 29573-29573
(
termFormat
de
independentProbability
"Unabhaenigkeitswahrscheinlichkeit")
terms-de.txt 45-45
(
termFormat
tg
independentProbability
"kalamangang mangyari ng malaya")
relations-tg.txt 289-289
antecedent
(=>
(
and
(
independentProbability
?FORMULA1 ?FORMULA2)
(
equal
(
ProbabilityFn
?FORMULA2) ?NUMBER1)
(
conditionalProbability
?FORMULA1 ?FORMULA2 ?NUMBER2))
(
equal
?NUMBER2 ?NUMBER1))
Merge.kif 2640-2645
公式
と
公式
の 確率 は
independent
では %n
公式
の
probability
は
実数
と
equal
では %n
公式
が
実数
では 場合の
公式
の
probability
実数
は
実数
と
equal
では %n
consequent
(=>
(
and
(
instance
?FORMULA1
Formula
)
(
instance
?FORMULA2
Formula
))
(
or
(
increasesLikelihood
?FORMULA1 ?FORMULA2)
(
decreasesLikelihood
?FORMULA1 ?FORMULA2)
(
independentProbability
?FORMULA1 ?FORMULA2)))
Merge.kif 2647-2654
公式
は
公式
の
instance
では %n
公式
は
公式
の
instance
では %n
公式
は
公式
の 可能性を
increase
s %n{ない}
公式
は
公式
を
decrease
s 可能性がある
公式
と
公式
の 確率 は
independent
では %n
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