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Home / programming language / Online Java Projects / On Learning of Choice Models with Interactive Attributes
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On Learning of Choice Models with Interactive Attributes

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SKU: PROJ7541 Categories: 2017 Projects, Datamining Projects, Online Java Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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On Learning of Choice Models with
Interactive Attributes

Abstract— approach to infer the unique and complex decision making process of a decision-maker (DM), which is characterized by the DM’s priorities and attitudinal character, along with the attributes interaction, to name a few. On the basis of exemplary preference information in the form of pairwise comparisons of alternatives, our method seeks to induce a DM’s preference model in terms of the parameters of recent discrete choice models. To this end, we reduce our learning function to a constrained non-linear optimization problem. Our learning approach is a simple one that takes into consideration the interaction among the attributes along with the priorities and the unique attitudinal character of a DM. The experimental results on standard benchmark datasets suggest that our
approach is not only intuitively appealing and easily interpretable but also competitive to state-of-the-art methods.< final year projects >

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