5 papers · 1 filter
Predicting Stock Prices using Permutation Decision Trees and Strategic Trailing
Vishrut Ramraj, Nithin Nagaraj, Harikrishnan N B
In this paper, we explore the application of Permutation Decision Trees (PDT) and strategic trailing for predicting stock market movements and executing profitable trades in the In…
Chaotic Map based Compression Approach to Classification
Harikrishnan N B, Anuja Vats, Nithin Nagaraj +1
Modern machine learning approaches often prioritize performance at the cost of increased complexity, computational demands, and reduced interpretability. This paper introduces a no…
Causal Discovery and Classification Using Lempel-Ziv Complexity
Dhruthi, Nithin Nagaraj, Harikrishnan N B
Inferring causal relationships in the decision-making processes of machine learning algorithms is a crucial step toward achieving explainable Artificial Intelligence (AI). In this…
Random Heterogeneous Neurochaos Learning Architecture for Data Classification
Remya Ajai A S, Nithin Nagaraj
Inspired by the human brain's structure and function, Artificial Neural Networks (ANN) were developed for data classification. However, existing Neural Networks, including Deep Neu…
Permutation Decision Trees
Harikrishnan N B, Arham Jain, Nithin Nagaraj
Decision Tree is a well understood Machine Learning model that is based on minimizing impurities in the internal nodes. The most common impurity measures are Shannon entropy and Gi…