19 citations · 22 across the 7 of their papers we have counts for
6 papers · 1 filter
Depth-Aware Initialization for Stable and Efficient Neural Network Training
Vijay Pandey
In past few years, various initialization schemes have been proposed. These schemes are glorot initialization, He initialization, initialization using orthogonal matrix, random wal…
Flight Delay Prediction using Hybrid Machine Learning Approach: A Case Study of Major Airlines in the United States
Rajesh Kumar Jha, Shashi Bhushan Jha, Vijay Pandey +1
The aviation industry has experienced constant growth in air traffic since the deregulation of the U.S. airline industry in 1978. As a result, flight delays have become a major con…
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…
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…