Info_PCA: A Hybrid Technique to Improve Accuracy by Dimensionality Reduction
نویسندگان
چکیده
منابع مشابه
Real Time Pseudo-Range Correction Predicting by a Hybrid GASVM model in order to Improve RTDGPS Accuracy
Differential base station sometimes is not capable of sending correction information for minutes, due to radio interference or loss of signals. To overcome the degradation caused by the loss of Differential Global Positioning System (DGPS) Pseudo-Range Correction (PRC), predictions of PRC is possible. In this paper, the Support Vector Machine (SVM) and Genetic Algorithms (GAs) will be incorpor...
متن کاملA Dimensionality Reduction Technique for Collaborative Filtering
Recommender systems make suggestions about products or services based on matching known or estimated preferences of users with properties of products or services (contentbased), properties of other users considered to be similar (collaborative filtering), or some hybrid approach. Collaborative filtering is widely used in E-commerce. To generate accurate recommendations in collaborative filterin...
متن کاملHybrid Approach to Design Optimisation: Preserve Accuracy, Reduce Dimensionality
The paper proposes a design procedure for the creation of a robust and effective hybrid algorithm, tailored to and capable of carrying out a given design optimisation task. In the course of algorithm creation, a small set of simple optimisation methods is chosen, out of which those performing best will constitute the hybrid algorithm. The simplicity of the method allows implementing ad-hoc modi...
متن کاملUsing Dimensionality Reduction to Improve Similarity Judgements for Recommendation
Recommendation Explorer is an experimental recommender system that attempts to address the provisional and contextual nature of user information needs by coupling the system's interface and recommendation algorithms. This study reports on the development and evaluation of a new similarity module for RecEx. Based on dimensionality reduction via the Singular Value Decomposition (SVD), the new mod...
متن کاملHyperspectral Data Dimensionality Reduction Using Hybrid Approach
Hyperspectral data contain a large volume of information. This abundance of data is hard to exploit due to high computational cost involved in processing this data. Dimensionality reduction deals with transforming high dimensional data in to lower dimensional space without losing significance of the High dimensional data. In this paper, a new methodology has been proposed that is based on exist...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: INFORMATION TECHNOLOGY IN INDUSTRY
سال: 2021
ISSN: 2203-1731
DOI: 10.17762/itii.v9i2.370