Score breakdown

A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition

paper-0028 · paper · 1989

Lawrence R. Rabiner

Made HMMs the standard sequential model for two decades of speech and NLP.

Academic, score -0.1237

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent22788.00.1025730.50.051287OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.050.05OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.2205

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent22788.00.1025730.20.020515OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.40.4OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.1994

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent22788.00.1025730.250.025643OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.10.1OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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