19 citations · 21 across the 5 of their papers we have counts for
5 papers
Machine Learning Approaches to Real Estate Market Prediction Problem: A Case Study
Shashi Bhushan Jha, Vijay Pandey, Rajesh Kumar Jha +1
Home sale prices are formed given the transaction actors economic interests, which include government, real estate dealers, and the general public who buy or sell properties. Gener…
Binary Search and First Order Gradient Based Method for Stochastic Optimization
Vijay Pandey
In this paper, we present a novel stochastic optimization method, which uses the binary search technique with first order gradient based optimization method, called Binary Search G…
Housing Market Prediction Problem using Different Machine Learning Algorithms: A Case Study
Shashi Bhushan Jha, Radu F. Babiceanu, Vijay Pandey +1
Developing an accurate prediction model for housing prices is always needed for socio-economic development and well-being of citizens. In this paper, a diverse set of machine learn…
Incorporating Image Gradients as Secondary Input Associated with Input Image to Improve the Performance of the CNN Model
Vijay Pandey, Shashi Bhushan Jha
CNN is very popular neural network architecture in modern days. It is primarily most used tool for vision related task to extract the important features from the given image. Moreo…
Overcoming Overfitting and Large Weight Update Problem in Linear Rectifiers: Thresholded Exponential Rectified Linear Units
Vijay Pandey
In past few years, linear rectified unit activation functions have shown its significance in the neural networks, surpassing the performance of sigmoid activations. RELU (Nair & Hi…