<p>Novel distractorless authorship verification technology optionally combines with novel algorithms to solve authorship attribution as to an open set of candidates—such as without limitation by analyzing the voting of“mixture of experts”and outputting the result to a user using the following: if z (z=pi−pj√pi+pj−(pi−pj)2/n) is larger than a first predetermined threshold then author j cannot be the correct author; or if z (z=pi−pj√pi+pj−(pi−pj)2/n) is smaller than a second predetermined threshold then author i cannot be the correct author; or if no author garners significantly more votes than all other contenders then none of the named authors is the author of a document in question—in a number of novel applications. Personality profiling and authorship attribution may also be used to verify user identity to a computer.</p>
申请公布号
EP2705458(A2)
申请公布日期
2014.03.12
申请号
EP20120782525
申请日期
2012.05.04
申请人
DUQUESNE UNIVERSITY OF THE HOLY SPIRIT;JUOLA, PATRICK;OVERLY, JAMES ORLO;NOECKER, JOHN ISAAC;RYAN, MICHAEL;GRAY, CHRISTINE