A Cooperative Coevolution Framework for Parallel Learning to Rank


We have a tendency to propose CCRank, the first parallel framework for learning to rank primarily based on evolutionary algorithms (EA), reaching to significantly improve learning potency whereas maintaining accuracy. CCRank is based on cooperative coevolution (CC), a divide-and-conquer framework that has demonstrated high promise in operate optimization for problems with giant search house and complex structures. Moreover, CC naturally allows parallelization of sub-solutions to the decomposed sub-problems, that can substantially boost learning potency. With CCRank, we tend to investigate parallel CC in the context of learning to rank. We tend to implement CCRank with three EA-based mostly learning to rank algorithms for demonstration. Extensive experiments on benchmark datasets in comparison with the state-of-the-art algorithms show the performance gains of CCRank in potency and accuracy.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Hybrid Satellite Terrestrial Relay Networks With Cooperative Non-Orthogonal Multiple Access - 2018ABSTRACT:During this letter, we tend to investigate the outage likelihood (OP) and ergodic capacity of the downlink
PROJECT TITLE :Capacity Maximizing Adaptive Power Splitting Protocol for Cooperative Energy Harvesting Communication Systems - 2018ABSTRACT:In this letter, we have a tendency to propose a unique power splitting (PS) protocol
PROJECT TITLE :Time Reusing in D2D-Enabled Cooperative Networks - 2018ABSTRACT:Device-to-device (D2D) communication has become one necessary half of next-generation mobile networks significantly because of the booming of proximity-based
PROJECT TITLE :Iterative Receivers for Downlink MIMO-SCMA: Message Passing and Distributed Cooperative Detection - 2018ABSTRACT:The fast development of mobile communications requires even higher spectral potency. Non-orthogonal
PROJECT TITLE :Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing - 2018ABSTRACT:Scavenging the idling computation resources at the large variety of mobile devices, ranging from tiny

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry