Implementation of Human Cognitive Bias on Naïve Bayes
Journal Title: EAI Endorsed Transactions on Creative Technologies - Year 2016, Vol 3, Issue 7
Abstract
We propose a human-cognition inspired classification model based on Naïve Bayes. Our previous study showed that human-cognitively inspired heuristics is able to enhance the prediction accuracy of text classifier based on Naïve Bayes. In the study, our classification model showed higher performance than conventional Naïve Bayes under specific conditions. In this paper, to investigate the mechanism that realizes the higher performance of classification, we further tested our model and its modified variant. As a result, our two models showed slightly different behaviors, but both of them achieved higher performance than conventional Naïve Bayes.
Authors and Affiliations
Hidetaka Taniguchi, Tomohiro Shirakawa, Tatsuji Takahashi
Keywords
Related Articles
- EP ID EP45850
- DOI http://dx.doi.org/10.4108/eai.3-12-2015.2262494
- Views 309
- Downloads 0
Upcoming Creative Events
No Abstract
A conceptual framework for audio-visual museum media
In today's history museums, the past is communicated through many other means than original artefacts. This interdisciplinary and theoretical article suggests a new approach to studying the use of audio-visual media, suc...
Advancing Performability in Playable Media: A Simulation-based Interface as a Dynamic Score
When designing playable media with non-game orientation, alternative play scenarios to gameplay scenarios must be accompanied by alternative mechanics to game mechanics. Problems of designing playable media with non-game...
A taxonomy of camera calibration and video projection correction methods
This paper provides a classification of calibration methods for cameras and projectors. From basic homography to complex geometric calibration methods, this paper aims at simplifying the choice of the methods to perform...
Towards a 15.5W Si-LDMOS Energy Efficient Balanced RF Power Amplifier for 5G-LTE Multi-carrier Applications
In this paper, a 15.5W Si-LDMOS balanced RF power amplifier has been designed using 2.620-2.690GHz frequency band to improve efficiency and linearity for 5G-LTE mobile applications. The amplifier was designed and simulat...