AI's Likes
November 2017
Online reviews are valuable sources of relevant information that can support users in their decision making. An estimated 92% of online shoppers read online reviews, 88% trust online reviews as…
Blog A framework for automated rating of online re 3 Likes k-nearest neighbor algorithm using PythonThis article was written by Natasha Latysheva. Here we publish a short version, with references to full source code …
Blog k-nearest neighbor algorithm using Python 13 Likes Fascinating Chaotic Sequences with Cool AppliHere we describe well-known chaotic sequences, including new generalizations, with application to random number generation, highly non-linear auto-regressive models for times series, simulation,…
Blog Fascinating Chaotic Sequences with Cool Appli 8 Likes Periodic Table of Binary Classification PerfoBinary classification is one of the most frequent studies in applied machine learning problems in various domains, from medicine to biology to meteorology to malware analysis. Many researchers use…
Blog Periodic Table of Binary Classification Perfo 2 Likes Trend Analysis of Fragmented Time Series: HypMissing data present significant challenges to trend analysis of time series. Straightforward approaches consisting of supplementing missing data with constant or…
Blog Trend Analysis of Fragmented Time Series: Hyp 9 LikesOctober 2017
Social media provide a low-cost alternative source for public health surveillance and health-related classification plays an important role to identify useful information. We summarized the recent…
Blog From social media to public health surveillan 4 Likes A framework for automated rating of online reEven though the most online review systems offer star rating in addition to free text reviews, this only applies to the overall review. However, different users may have different preferences in…
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Posted 27 July 2021
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