ABSTRACT:

A major downside of classification learning is the dearth of ground-truth labeled knowledge. It is usually expensive to label new information instances for coaching a model. To solve this problem, domain adaptation in transfer learning has been proposed to classify target domain information by using another source domain information, even when the info may have completely different distributions. However, domain adaptation could not work well when the variations between the source and target domains are massive. In this paper, we have a tendency to design a unique transfer learning approach, referred to as BIG (Bridging Info Gap), to effectively extract useful data during a worldwide knowledge base, which is then used to link the supply and target domains for improving the classification performance. BIG works when the supply and target domains share the same feature space however totally different underlying knowledge distributions. Using the auxiliary source data, we tend to will extract a ¿bridge¿ that permits cross-domain text classification problems to be solved using standard semisupervised learning algorithms. A major contribution of our work is that with BIG, a large amount of worldwide data will be simply custom-made and used for learning in the target domain. We conduct experiments on several real-world cross-domain text classification tasks and demonstrate that our proposed approach will outperform many existing domain adaptation approaches considerably.


Did you like this research project?

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


PROJECT TITLE :Bridging the Gap: Using Technology to Capture the Old and Encourage the NewABSTRACT:For the first time in our employer?s history, our workforce has four generations working along simultaneously, every with its unique
PROJECT TITLE :Net2plan: an open source network planning tool for bridging the gap between academia and industryABSTRACT:The plethora of network designing results published in high-ranked journals is a good sign of the success
PROJECT TITLE :Bridging Music Using Sound-Effect InsertionABSTRACT:In this text, the authors provide a general overview of audio music concatenation, then deliberate on how to connect not-therefore-coherent music clips in response
PROJECT TITLE :Basic Principles of MPC for Power Converters: Bridging the Gap Between Theory and PracticeABSTRACT:This article presents the essential principles of operation for model predictive management (MPC), a control methodology
PROJECT TITLE :Experimental studies of influence of different electrodes on bridging in contaminated transformer oilABSTRACT:Contaminated transformer oil has been tested underneath non uniform electric fields and the effect of

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

Project Enquiry