| model,6-2-P97-1006,ak | categories . We define for each category a <term> | finite mixture model | </term> based on <term> soft clustering </term> | #29084 We define for each category a finite mixture model based on soft clustering of words. | |
| tech,11-3-P97-1006,ak | classifying documents as that of conducting <term> | statistical hypothesis testing | </term> over <term> finite mixture models </term> | #29105 We treat the problem of classifying documents as that of conducting statistical hypothesis testing over finite mixture models, and employ the EM algorithm to efficiently estimate parameters in a finite mixture model. | |
| model,30-3-P97-1006,ak | estimate <term> parameters </term> in a <term> | finite mixture model | </term> . Experimental results indicate | #29124 We treat the problem of classifying documents as that of conducting statistical hypothesis testing over finite mixture models, and employ the EM algorithm to efficiently estimate parameters in a finite mixture model . |
