6 citations · 16 across the 5 of their papers we have counts for
3 papers · 1 filter
Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressor
Abhishek Gupta, Raunak Joshi, Nandan Kanvinde +2
Regression branch of Machine Learning purely focuses on prediction of continuous values. The supervised learning branch has many regression based methods with parametric and non-pa…
Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations
Sayali Tambe, Raunak Joshi, Abhishek Gupta +2
The semantics are derived from textual data that provide representations for Machine Learning algorithms. These representations are interpretable form of high dimensional sparse ma…
Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method
Nandan Kanvinde, Abhishek Gupta, Raunak Joshi +1
High dimensional data for classification does create many difficulties for machine learning algorithms. The generalization can be done using ensemble learning methods such as baggi…