In this thesis, novel methods for unsupervised multi-view learning are proposed. This tension creates a strong need for optimization techniques to improve the efficiency of ranking with respect to these more complex retrieval models.
The last technique is delayed execution, which focuses on the class of queries that utilize term dependencies and term conjunction operations.
The identity of the group member cannot be revealed from the group signature. Our experimental results show that the proposed approach helps to achieve on the average approximately Our vast data makes America to form original analysis.
It includes unexplored unique topics that we are collected form different online resources. In case of a legal dispute, an authorized group member can disclose the identity of the group member from the signed document.